magnet:?xt=urn:btih:78BB2742FB329E2ECD407187EFF99774BF4B0F03
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/01. ND313 C03 L04 A02 C41 Mid-LmTtSYRfi7g.mp4 57.9 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/03. ND312 C1 L3 A10 Euclidean Clustering With PCL - Solution-4fX2d-7Ym-c.mp4 52.5 MB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/02. FP C6.2 Atom1 (HS, SC)-0yJ7gE2JMcw.mp4 50.3 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/02. ND313 C1 L4 A06 Load PCD - Solution-Y7kFT1dW6iQ.mp4 41.5 MB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/01. L5 C5.1 Atom8 (HS, SC)-B7e3eD7Knl8.mp4 34.1 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. L5 C5.3 Atom3 (HS, SC)-kX5W8Gud7So.mp4 33.2 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/07. ND313 C1 L2 A17 Implementing RANSAC For Lines Solution [Too Long]-csyq4eYM480.mp4 32.9 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/img.zip 32.6 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/01. L5 C5.1 Atom3 (SC)-pzYFO12BiE0.mp4 32.6 MB
Part 03-Module 01-Lesson 01_Introduction/01. ND313 C03 L01 A01 Course Intro-1Ainh-JHmGw.mp4 30.7 MB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/04. ND313 C03 L02 A06 C24 Intro-8ViLZSG-ofg.mp4 29.7 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/05. ND313 C1 L2 A10 Separating Point Clouds Solution-5aMtbD3criU.mp4 24.5 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/07. ND313 C1 L4 A20 Stream PCD - Solution-gycfszhCttY.mp4 24.2 MB
Part 05-Module 01-Lesson 02_Kalman Filters/20. Kalman Filter Land-LXJ5jrvDuEk.mp4 23.7 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/05. ND313 C03 L04 A10 C45 Intro-OMqg22EGssM.mp4 21.9 MB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MB
Part 05-Module 01-Lesson 02_Kalman Filters/25. Kalman Matrices-ade97UKqSIc.mp4 19.7 MB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/01. FP C6.1 Atom1 (HS, SC)-ghUqSPmPuZA.mp4 19.4 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/04. ND313 Michael Intv 06 Lidar For Autonomous Vehicles V2-JoD31NDeDYA.mp4 19.3 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/08. ND312 C1 L3 A43 Euclidean Clustering - Solution-M08ohGZFdbY.mp4 18.9 MB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/05. FP C6.5 Atom1 (HS, SC)-_gn3yqpzKmU.mp4 18.7 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/06. ND313 C1 L3 A33 Insert Points - Solution-CAG021S8Mco.mp4 18.7 MB
Part 05-Module 01-Lesson 02_Kalman Filters/11. Parameter Update-d8UrbKKlGxI.mp4 18.2 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/06. ND312 C1 L3 A29 Insert Points - Concept [LB]-kYhS20w1Bnk.mp4 18.1 MB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/04. ND313 C03 L04 A09 C44 Intro Pt 2-Ap6uNX95Ewc.mp4 18.0 MB
Part 05-Module 01-Lesson 01_Introduction and Sensors/03. Radar Strengths And Weaknesses-m7kpRg3bEI8.mp4 17.8 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/img.zip 17.6 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/03. ND313 C03 L03 A07 C33 Outro Pt 2-Hel5bW4bD4w.mp4 17.1 MB
Part 05-Module 01-Lesson 01_Introduction and Sensors/02. Introduction-4E6RtK_Ml1I.mp4 17.0 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. L5 C5.3 Atom4 (HS, SC)-ID_zxQ37V3s.mp4 16.7 MB
Part 05-Module 01-Lesson 05_Unscented Kalman Filter Highway Project/img.zip 16.5 MB
Part 04-Module 01-Lesson 02_Radar Principles/02. L1A05 Radar Sensor-jpJT85km4jA.mp4 15.9 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/03. ND313 C03 L03 A07 C33 Outro-ybf16ErRqVg.mp4 15.7 MB
Part 05-Module 01-Lesson 02_Kalman Filters/25. Kalman Matrices-LEuzK9X7_hM.mp4 15.3 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/03. ND313 Michael Intv 04 What Is Lidar V2-IGODQteik6M.mp4 15.3 MB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.mp4 15.2 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/04. ND313 Timo Intv 05 Does It Make Sense To Have Multiple Cameras On A Robot Or Av-D4ffxdVewCg.mp4 15.1 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/04. ND313 C03 L03 A09 C34 Outro-69oJ9Jx2DPE.mp4 14.7 MB
Part 05-Module 01-Lesson 02_Kalman Filters/18. Kalman Filter Code-X7cixvcogl8.mp4 14.7 MB
Part 05-Module 01-Lesson 02_Kalman Filters/02. Tracking Intro-BkjQzEyJWrE.mp4 14.4 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/09. ND313 Michael Intv 12 Where Should You Mount A Lidar On Robot Or Vehicle V2-i1C58WbWufY.mp4 14.4 MB
Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/01. Final Project Walkthrough-DIVmHps0G8M.mp4 14.3 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/06. ND313 Timo Intv 19 How Do You Track An Object Across Multiple Camera Images-xuW1xaLYOng.mp4 14.2 MB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/03. FP C6.3 Atom1 (HS, SC)-UqaC-d8vhyY.mp4 14.2 MB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/03. 03 SF Courses V1-JrLLGlIjYQA.mp4 14.1 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/05. ND313 C01 L01 Filtering Using PCL-62Bk64oquzY.mp4 13.5 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/03. ND313 Timo Intv 07 What Types Of Lenses Do Sdc Use-EKAj7KcskGk.mp4 13.5 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/05. ND313 C1 L4 A08 Filtering With PCL Pt 2-FRIm7Ya8Xy8.mp4 13.3 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/04. ND313 C03 L03 A08 C34 Intro-0ddUBGq8Gig.mp4 13.2 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/05. ND312 C1 L3 A17 Inserting Points Into KD-Tree Without Quiz [LB]-Va2NBXOTNlY.mp4 12.9 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/02. ND313 C1 L4 A03 Load PCD - Concept-Mecr0DuuwTY.mp4 12.9 MB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/03. ND313 C03 L04 A07 C43 Intro-CVXysH5gHUQ.mp4 12.8 MB
Part 05-Module 01-Lesson 02_Kalman Filters/23. More Kalman Filters-hUnTg5v4tDU.mp4 12.8 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/01. ND313 C03 L03 A01 C31 Intro-2E9TNZlCGX8.mp4 12.8 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/16. ND313 C1 L1 A14 Using The Lidar Object Solution-mTPYYSfzvek.mp4 12.6 MB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/img.zip 12.2 MB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/02. ND313 C03 L04 A06 C42 Intro-9ndzOpPHxA4.mp4 12.2 MB
Part 05-Module 01-Lesson 02_Kalman Filters/24. Kalman Filter Design-KYEr4BXhD_E.mp4 12.1 MB
Part 03-Module 01-Lesson 08_Final Thoughts from Timo/01. ND313 Timo Intv 16 How Do You Verify The Reliability And Safety Of Sens Fus-zSFsTJRUDQI.mp4 12.1 MB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/01. 01 SF Welcome V1-OkVTmqAXlNE.mp4 11.9 MB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/02. 06 Sensors V1-Y_jzq22_2Rw.mp4 11.8 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/04. ND313 C1 L2 A07 Segmenting Plane With PCL Solution-80hf7xu-_8Y.mp4 11.8 MB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/06. 10 Fusion V1-pKkpmCakIg8.mp4 11.8 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/19. ND313 C1 L1 A21 Simulater PCD Solution-l_rQIPlnyUg.mp4 11.8 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/05. ND313 C1 L4 A07 Filtering With PCL-yLG_OKDW9Fs.mp4 11.7 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/img.zip 11.5 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/02. ND313 Michael Intv 13 How Do You Use Lidar To Detect Object In Environment V2-E3qIeLVy6Uw.mp4 11.5 MB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/01. ND313 C03 L02 A01b C21-A4-T8tSjKZaJfQ.mp4 11.5 MB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/32. What to Expect from the Project-WAt_g6HgYvs.mp4 11.4 MB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/02. 02 SF PreReqs V1-a8aQR0MvnZI.mp4 11.3 MB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/04. Workspace Lesson 3-K2W4eMuWwgk.mp4 11.3 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/04. ND313 C1 L2 A06 Walking Through Pcl Segmentation-8n3BrJ51dSU.mp4 11.3 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/05. ND313 C1 L2 A08 Separating Point Clouds Pt 1 [LB]-K_JuSBXiM_4.mp4 11.2 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/05. ND313 C03 L03 A11 C35 Mid-nawEaRwnu2c.mp4 11.2 MB
Part 04-Module 01-Lesson 01_Introduction/02. ND313 Andrei Intv 01 And 02 Who Are You And Role V2-B23RwFxHqbU.mp4 11.0 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/07. ND313 C01 L03 Searching For A Point In A KD Tree Code-EFgF_C_tOkw.mp4 11.0 MB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/04. 04 SF Projects V1-64fCz0xmGnk.mp4 10.9 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/01. ND313 C03 L03 A02 C31 Mid-g_sYIKjjdv4.mp4 10.9 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/13. ND313 C1 L1 A11 Walkthrough Of PCL Viewer Code-KrfNvS0mKuE.mp4 10.9 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/10. ND313 C1 L1 A08 Starter Repo Walkthrough-LgoJWYESisI.mp4 10.9 MB
Part 04-Module 01-Lesson 05_Clustering and Tracking/04. Workspace Lesson 5-9SZuZcOoba8.mp4 10.6 MB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/01. ND313 C03 L04 A01 C41 Intro-NxhTpozqXIs.mp4 10.5 MB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/34. Outro-G3soGuQeHGU.mp4 10.5 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/15. ND313 C1 L1 A12 Create Lidar-mU1kp4FXdVg.mp4 10.5 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/05. ND313 C03 L03 A10 C35 Intro-IGa4AUyl7YQ.mp4 10.4 MB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/01. 05 Sensor Fusion Intro V1-EyTyFl9sSLs.mp4 10.1 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/03. ND313 C1 L2 A03 Point Processing [LB]-ZXZL0l4t0X0.mp4 9.9 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/17. ND313 C1 L1 A15 Overview On PCD Types Quiz [LB]-3Hws520ZZGw.mp4 9.9 MB
Part 05-Module 01-Lesson 01_Introduction and Sensors/01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.mp4 9.9 MB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/03. ND313 C03 L02 A05 C23 Quiz-2eeP2SWrdiA.mp4 9.8 MB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/01. ND313 C03 L02 A01 C21 Intro-td8UlKUk5wc.mp4 9.8 MB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/03. ND313 C03 L02 A04 C23 Intro-h8WoErQle2U.mp4 9.8 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/04. ND312 C1 L3 A11 Implementing KD-Tree [LB]-OG49SnS9URs.mp4 9.7 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/18. ND313 C1 L1 A17 Lidar Paramaters [LB]-TwySby8ZZ3k.mp4 9.7 MB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/04. L2 Workspace-Tic3xmsEg_A.mp4 9.6 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/01. L5 C5.1 Atom1 (HS)-mru6Yrt2Ufo.mp4 9.5 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/18. ND313 C1 L1 A18 Update Lidar Parameters Solution-tkLrkRrLsDQ.mp4 9.3 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/19. ND313 C1 L1 A20 Examining The Point Cloud [LB]-_soZXKanuBk.mp4 9.2 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/02. ND313 C03 L01 A05 C13 Mid-nrYkozd_9Mc.mp4 9.2 MB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/33. UKF Story Time-gFdT8W1fmf8.mp4 9.2 MB
Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion-X7YggdDnLaw.mp4 9.1 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/16. ND313 C1 L1 A13 Using The Lidar Object-auAPb-NC2Xo.mp4 9.1 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/07. ND313 C01 L03 Searching In A KD Tree-4luIWnHiEJQ.mp4 9.1 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/04. ND313 Timo Intv 10 Can You Describe SIFT-r0BhmnZpyiI.mp4 9.0 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/02. ND313 Timo Intv 28 Are Stereo Cameras Useful-adI6LK3S97U.mp4 9.0 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/01. ND313 C03 L01 A02 C12 Intro-DQgs4Ty3Cz8.mp4 9.0 MB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/03. 07 LIDAR V1-GdwO2JnEapQ.mp4 8.9 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/02. ND313 C03 L03 A04 C32 Intro-WL7Ybk5rm30.mp4 8.8 MB
Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.mp4 8.7 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/10. ND313 Michael Intv 16 Are Bounding Boxes Best Way To Track Objects In Point Cloud V2-kk39stQPG84.mp4 8.7 MB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/04. ND313 C03 L04 A08 C44 Intro-w-0hSIMq32o.mp4 8.7 MB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/04. FP C6.4 Atom1 (HS, SC)-YAauGTeSilA.mp4 8.7 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/17. ND313 C1 L1 A16 Using Templates Solution [LB]-OiSh6DBynL0.mp4 8.7 MB
Part 05-Module 01-Lesson 02_Kalman Filters/04. Variance Comparison-rczAG7meAY4.mp4 8.6 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/06. ND313 C1 L1 A03 Point Cloud Data [LB]-ptExV1DFIbo.mp4 8.5 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/03. ND313 C03 L03 A06 C33 Intro-fqwXIypb6rQ.mp4 8.5 MB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/31. Parameters And Consistency-S4fX3X_9oik.mp4 8.4 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/img.zip 8.4 MB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/01. Intro-HbPxeJ3onmI.mp4 8.3 MB
Part 05-Module 01-Lesson 02_Kalman Filters/12. Parameter Update 2-_AAkw_fynwc.mp4 8.2 MB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/13. Programming Assignment-gTEQHV_1E2k.mp4 8.1 MB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 8.0 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/03. ND313 Michael Intv 17 What Challenges Emerge When Using Lidar In Real World-3WXluu7PyTA.mp4 8.0 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/05. ND312 C1 L3 A28 Improving The Tree [LB]-9rL2pQLAk4o.mp4 8.0 MB
Part 05-Module 01-Lesson 02_Kalman Filters/03. Gaussian Intro-6IhtnM1e0IY.mp4 7.8 MB
Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/img.zip 7.8 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/03. ND313 C03 L01 A07 C14 Mid-mb4UTgUgu4w.mp4 7.8 MB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/06. ND313 Andrei Intv 17 What Kind Of Math Should Radar Engineers Know-ofBWbJ3UrWo.mp4 7.6 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/09. ND313 Michael Intv 18 Do You Generall Segment Out The Ground Plane From A Point Cloud V2-2rJpIjcfUTo.mp4 7.6 MB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/04. 08 Camera V1-daBPVFM6v-g.mp4 7.5 MB
Part 05-Module 01-Lesson 02_Kalman Filters/14. Separated Gaussians 2-edcfMK_bKXw.mp4 7.5 MB
Part 04-Module 01-Lesson 02_Radar Principles/02. ND313 Andrei Intv 07 What Types Of Radar Do Self Driving-23ljUY31nBw.mp4 7.5 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/14. ND313 Michael Intv 28 How Do You Represent A Lidar Unit In A Simulator-qKSaMjvJ7Lc.mp4 7.4 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/02. ND313 Michael Intv 01 And 02 Who Are You And Role-UkDzLSIVQ0U.mp4 7.3 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/04. ND313 Michael Intv 21 Do You Ever Downsample Lidar Data-ry17-7srqlE.mp4 7.3 MB
Part 05-Module 01-Lesson 02_Kalman Filters/19. Kalman Prediction-tSfmiuB9s2c.mp4 7.3 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/02. ND313 C03 L03 A05 C32 Outro-NKV9IIfxOaI.mp4 7.3 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MB
Part 04-Module 01-Lesson 02_Radar Principles/01. ND313 Andrei Intv 05 Why Do Self Driving Cars Specifically Use Radar-bHSdfsTz-ts.mp4 7.2 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/03. ND313 C1 L2 A04 Point Processing Solution-p95bjDsEhz0.mp4 7.2 MB
Part 02-Module 01-Lesson 03_Clustering Obstacles/08. ND312 C1 L3 A39 Euclidean Clustering - Concept [LB]-MnN9-_vUz2g.mp4 7.1 MB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/02. ND313 C03 L02 A03 C22 Quiz-YWatEESYasw.mp4 7.1 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. L5 C5.3 Atom1 (HS)-FcXzpiuDogk.mp4 7.0 MB
Part 05-Module 01-Lesson 02_Kalman Filters/01. Kalman Filter Introduction-2zmbIjHpkRM.mp4 7.0 MB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/07. ND313 C1 L2 A12 Implementing RANSAC For Lines [LB]-IjT37Y7bpQU.mp4 6.9 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/05. ND313 Michael Intv 09 What Is A Point Cloud V2-OD45m2YFsU0.mp4 6.9 MB
Part 04-Module 01-Lesson 02_Radar Principles/02. ND313 Andrei Intv 06 What Challenges Do You Encounter-d_eBzzfmDj8.mp4 6.8 MB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/02. Introduction And Overview-G57ZvTBAUL8.mp4 6.8 MB
Part 05-Module 01-Lesson 02_Kalman Filters/09. Shifting the Mean-8c479K2UCZo.mp4 6.6 MB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/05. 09 RADAR V1-JLpe3bckyuQ.mp4 6.6 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 6.5 MB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/03. ND313 Andrei Intv 15 What Is The Doppler Effect-0Dn1WQOitO4.mp4 6.5 MB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/15. Radar Measurements-LOz9AaHvB8M.mp4 6.3 MB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 6.3 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/03. ND313 Timo Intv 09 Standard Cv Vs Deep Learning V2-p5DMU6ZJw2U.mp4 6.3 MB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/10. UKF Process Chain-sU7ifLgxxas.mp4 6.2 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/01. ND313 C03 L03 A03 C31 Outro-kQNTa0x8CDI.mp4 6.2 MB
Part 03-Module 01-Lesson 04_Tracking Image Features/05. ND313 C03 L03 A12 C35 Outro-vosXnbzD8V8.mp4 6.1 MB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/01. ND313 C03 L01 A03 C12 Outro-Gby_V8-pJV8.mp4 6.1 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/02. L5 C5.2 Atom5 (HS)-jh75oLxSfo0.mp4 6.1 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/02. L5 C5.2 Atom1 (HS)-ZpyEq_U4pRY.mp4 6.1 MB
Part 05-Module 01-Lesson 01_Introduction and Sensors/04. Lidar Strengths And Weaknesses-xpUduMU9-jo.mp4 6.1 MB
Part 02-Module 01-Lesson 04_Working with Real PCD/08. ND313 C1 L4 A30 Lidar Obstacle Detection Project [LB]-lGbHW8SMu24.mp4 5.9 MB
Part 05-Module 01-Lesson 02_Kalman Filters/10. Predicting the Peak-zc_GQiISQ3E.mp4 5.9 MB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/13. 19 UKF Generate Sigma Points-t7YJJpEzTX4.mp4 5.8 MB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/02. L5 C5.2 Atom4 (HS)-AvGh3pFQKJQ.mp4 5.8 MB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/12. ND313 C1 L1 A10 Running The Simulator Yourself-PBNYLldDV3w.mp4 5.7 MB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/05. ND313 Timo Intv 04 Diff Btwn Early Fusion And Late Fusion-enKofyXO1Vk.mp4 5.7 MB
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Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/05. The OpenCV Computer Vision Library.html 21.9 kB
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Part 04_Radar/Module 01_Lessons/Lesson 06_Radar Target Generation and Detection/data.json 19.6 kB
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Part 03-Module 01-Lesson 04_Tracking Image Features/02. Haris Corner Detection.html 18.5 kB
Part 04-Module 01-Lesson 05_Clustering and Tracking/04. MATLAB Sensor Fusion Guided Walkthrough.html 18.5 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/29. UKF Update Assignment 1.html 18.1 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/14. Laser Measurements Part 4.html 18.1 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/17. Augmentation Assignment 1.html 18.0 kB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/03. Estimating TTC with a Camera.html 18.0 kB
Part 03-Module 01-Lesson 04_Tracking Image Features/03. Overview of Popular Keypoint Detectors.html 17.5 kB
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Part 05-Module 01-Lesson 04_Unscented Kalman Filters/20. Sigma Point Prediction Assignment 1.html 17.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/26. Predict Radar Measurement Assignment 1.html 17.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/30. UKF Update Assignment 2.html 17.4 kB
Part 06_Career Services/Module 01_Career Services/Lesson 02_Take 30 Min to Improve your LinkedIn/rubric.json 17.0 kB
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Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/Project Rubric - Improve Your LinkedIn Profile.html 16.7 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/21. Sigma Point Prediction Assignment 2.html 16.6 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/21. EKF Algorithm Generalization.html 16.6 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/18. Augmentation Assignment 2.html 16.5 kB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/04. ND313 C03 L02 A06 C24 Intro-8ViLZSG-ofg.en.vtt 16.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/31. Parameters and Consistency.html 16.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/23. Predicted Mean and Covariance Assignment 1.html 16.3 kB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. Creating 3D-Objects.html 16.3 kB
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Part 05-Module 01-Lesson 04_Unscented Kalman Filters/27. Predict Radar Measurement Assignment 2.html 15.9 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/03. Doppler Estimation.html 15.7 kB
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Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/24. Deep Learning Questions.html 15.5 kB
Part 04-Module 01-Lesson 02_Radar Principles/02. The Radar Sensor.html 15.5 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/15. Radar Measurements.html 15.0 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/10. Process Covariance Matrix.html 15.0 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/04. CTRV Differential Equation.html 14.9 kB
Part 06-Module 01-Lesson 01_Industry Research/07. How to Request an Informational Interview.html 14.8 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/04. Fast Fourier Transform (FFT).html 14.7 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/15. Generating Sigma Points Assignment 2.html 14.6 kB
Part 05_Kalman Filters/Module 01_Lessons/Lesson 05_Unscented Kalman Filter Highway Project/data.json 14.6 kB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/01. Levels of Autonomous Driving.html 14.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/27. Control Questions.html 14.2 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/07. ND313 C1 L2 A17 Implementing RANSAC For Lines Solution [Too Long]-csyq4eYM480.en.vtt 14.2 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/25. Motion Planning Questions.html 14.1 kB
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Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/23. PerceptionSensor Questions.html 13.9 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/08. CTRV Process Noise Vector.html 13.8 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/06. Kalman Filter Intuition.html 13.7 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/32. What to Expect from the Project.html 13.7 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/08. Kalman Filter Equations in C++ Part 2.html 13.7 kB
Part 04-Module 01-Lesson 02_Radar Principles/07. Radar Range Equation.html 13.6 kB
Part 04-Module 01-Lesson 05_Clustering and Tracking/03. Kalman Tracking.html 13.4 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/17. Extended Kalman Filter.html 13.3 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/02. Clutter.html 13.2 kB
Part 02-Module 01-Lesson 04_Working with Real PCD/07. Stream PCD.html 13.2 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/05. Inserting Points into KD-Tree.html 13.1 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/26. MappingLocalization Questions.html 13.0 kB
Part 04-Module 01-Lesson 05_Clustering and Tracking/02. Clustering.html 12.9 kB
Part 06-Module 01-Lesson 01_Industry Research/04. Map Your Career Journey.html 12.8 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/02. The CTRV Model.html 12.8 kB
Part 05-Module 01-Lesson 02_Kalman Filters/04. Variance Comparison.html 12.7 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/05. The 2D FFT.html 12.7 kB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/01. Collision Detection Basics.html 12.7 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/22. Project Instructions.html 12.6 kB
Part 02-Module 01-Lesson 04_Working with Real PCD/05. Filtering with PCL.html 12.6 kB
Part 05-Module 01-Lesson 01_Introduction and Sensors/05. Live Data Walkthrough.html 12.5 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/05. CTRV Integral 1.html 12.5 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/07. Implementing RANSAC for Lines.html 12.5 kB
Part 04-Module 01-Lesson 02_Radar Principles/03. Signal Properties.html 12.5 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/05. Estimation Problem Refresh.html 12.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/07. CTRV Zero Yaw Rate.html 12.4 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/04. CA-CFAR.html 12.4 kB
Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/02. Knowledge.html 12.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/03. The CTRV Model State Vector.html 12.2 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/09. State Prediction.html 12.2 kB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/Project Rubric - Track an Object in 3D Space.html 12.1 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/04. Segmenting the Plane with PCL.html 12.1 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/Project Rubric - Autonomous Systems Interview Practice Project.html 12.0 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/02. Range Estimation.html 12.0 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/03. Euclidean Clustering with PCL.html 12.0 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/06. CTRV Integral 2.html 11.9 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/11. Laser Measurements Part 1.html 11.9 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/16. Using the Lidar Object.html 11.9 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/09. CTRV Process Noise Position.html 11.8 kB
Part 02-Module 01-Lesson 04_Working with Real PCD/06. Steps For Obstacle Detection.html 11.7 kB
Part 04-Module 01-Lesson 02_Radar Principles/06. Radar Cross Section.html 11.6 kB
Part 06-Module 01-Lesson 01_Industry Research/01. Self-Reflection Design Your Blueprint for Success.html 11.5 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/05. Separating Point Clouds.html 11.5 kB
Part 05_Kalman Filters/Module 01_Lessons/Lesson 01_Introduction and Sensors/data.json 11.5 kB
Part 06-Module 01-Lesson 01_Industry Research/03. Debrief Self-Reflection Exercise Part 2.html 11.4 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/04. Lidar Sensors.html 11.4 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/18. Multivariate Taylor Series Expansion.html 11.4 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/01. Get Opportunities with LinkedIn.html 11.4 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/07. Profile Essentials.html 11.4 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html 11.3 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/08. Euclidean Clustering.html 11.3 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/28. General Questions.html 11.2 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/06. Point Clouds.html 11.2 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile.html 11.1 kB
Part 05-Module 01-Lesson 05_Unscented Kalman Filter Highway Project/01. Submitting Your Project.html 11.1 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/24. Evaluating KF Performance 2.html 11.0 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/03. Lesson Map and Fusion Flow.html 11.0 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/17. Templates and Different Point Cloud Data.html 11.0 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/18. Adjusting Lidar Parameters.html 10.9 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/17. Control Engineer Reflection.html 10.9 kB
Part 02-Module 01-Lesson 04_Working with Real PCD/02. Load PCD.html 10.8 kB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/Project Rubric - Camera Based 2D Feature Tracking.html 10.8 kB
Part 05-Module 01-Lesson 02_Kalman Filters/18. Kalman Filter Code.html 10.8 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/15. MappingLocalization Engineer Reflection.html 10.8 kB
Part 05-Module 01-Lesson 02_Kalman Filters/13. Separated Gaussians.html 10.8 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/09. Build and Strengthen Your Network.html 10.8 kB
Part 05-Module 01-Lesson 02_Kalman Filters/14. Separated Gaussians 2.html 10.7 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/13. Motion Planning Engineer Reflection.html 10.7 kB
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction.html 10.7 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/11. Deep Learning Engineer Reflection.html 10.7 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/19. My Own Project Reflection.html 10.7 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/19. Examining the Point Cloud.html 10.7 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/09. Perception Engineer Reflection.html 10.7 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/23. Evaluating KF Performance Part 1.html 10.6 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/06. Insert Points.html 10.5 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/08. Extending RANSAC to Planes.html 10.5 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/20. Jacobian Matrix Part 2.html 10.4 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/15. Creating the Lidar Object.html 10.4 kB
Part 06-Module 01-Lesson 01_Industry Research/09. Ask Good Questions.html 10.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/20. Additional Resources to Consider.html 10.3 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/07. Searching Points in a KD-Tree.html 10.3 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/12. Running the Simulator.html 10.3 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/12. Laser Measurements Part 2.html 10.3 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/11. Commit messages best practices.html 10.3 kB
Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion.html 10.3 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/06. Angle of Arrival Introduction.html 10.2 kB
Part 05-Module 01-Lesson 05_Unscented Kalman Filter Highway Project/Project Rubric - Unscented Kalman Filter Highway Project.html 10.2 kB
Part 05-Module 01-Lesson 02_Kalman Filters/15. New Mean and Variance.html 10.2 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/Project Description - Optimize Your GitHub Profile.html 10.2 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/03. ND312 C1 L3 A10 Euclidean Clustering With PCL - Solution-4fX2d-7Ym-c.en.vtt 10.2 kB
Part 05-Module 01-Lesson 02_Kalman Filters/10. Predicting the Peak.html 10.1 kB
Part 06-Module 01-Lesson 01_Industry Research/10. Debrief Sample Questions Quiz.html 10.1 kB
Part 05-Module 01-Lesson 02_Kalman Filters/19. Kalman Prediction.html 10.1 kB
Part 05-Module 01-Lesson 02_Kalman Filters/17. Predict Function.html 10.1 kB
Part 05-Module 01-Lesson 02_Kalman Filters/09. Shifting the Mean.html 10.1 kB
Part 05-Module 01-Lesson 02_Kalman Filters/21. Kalman Filter Prediction.html 10.1 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/10. The Course Starter Code.html 10.1 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html 10.0 kB
Part 05-Module 01-Lesson 02_Kalman Filters/12. Parameter Update 2.html 10.0 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/10. UKF Process Chain.html 10.0 kB
Part 05-Module 01-Lesson 02_Kalman Filters/05. Preferred Gaussian.html 10.0 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/08. Work Experiences _ Accomplishments.html 10.0 kB
Part 05-Module 01-Lesson 02_Kalman Filters/11. Parameter Update.html 10.0 kB
Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian.html 10.0 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/11. Compiling the Lidar Simulator.html 9.9 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/12. UKF Basics Unscented Transformation.html 9.9 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/05. Use Your Elevator Pitch on LinkedIn.html 9.9 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/22. Predicted Mean and Covariance.html 9.8 kB
Part 04-Module 01-Lesson 02_Radar Principles/04. FMCW.html 9.8 kB
Part 06-Module 01-Lesson 01_Industry Research/02. Debrief Self-Reflection Exercise Part 1.html 9.8 kB
Part 06-Module 01-Lesson 01_Industry Research/05. Debrief Map Your Career Journey.html 9.7 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/31. Parameters And Consistency-S4fX3X_9oik.en.vtt 9.7 kB
Part 06-Module 01-Lesson 01_Industry Research/08. Ways to Connect.html 9.6 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/06. Create Your Profile With SEO In Mind.html 9.6 kB
Part 05-Module 01-Lesson 02_Kalman Filters/06. Evaluate Gaussian.html 9.6 kB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/03. Courses.html 9.5 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/10. Reaching Out on LinkedIn.html 9.5 kB
Part 05-Module 01-Lesson 02_Kalman Filters/03. Gaussian Intro.html 9.5 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/09. Bounding Boxes.html 9.4 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/05. CFAR 2D.html 9.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/11. What Problem Does the UKF Solve.html 9.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/25. Measurement Prediction.html 9.3 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/19. Sigma Point Prediction.html 9.3 kB
Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/01. Project Overview.html 9.2 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/07. ND313 C01 L03 Searching In A KD Tree-4luIWnHiEJQ.en.vtt 9.2 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/28. UKF Update.html 9.2 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/33. Story Time.html 9.2 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/13. Generating Sigma Points.html 9.2 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/34. Outro.html 9.2 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/01. Introduction.html 9.2 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/16. UKF Augmentation.html 9.1 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/16. Mapping with a Nonlinear Function.html 9.0 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/01. Range, Velocity, and Angle Resolution.html 9.0 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/04. Implementing KD-Tree.html 9.0 kB
Part 05-Module 01-Lesson 02_Kalman Filters/02. Tracking Intro.html 9.0 kB
Part 03_Camera/Module 01_Lessons/Lesson 07_Track an Object in 3D Space/rubric.json 8.9 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/02. Intro.html 8.9 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/03. Point Processing.html 8.9 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Use Your Story to Stand Out.html 8.9 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/05. Job Descriptions.html 8.9 kB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/03. Keypoint Detection.html 8.9 kB
Part 05-Module 01-Lesson 05_Unscented Kalman Filter Highway Project/02. Additional Project Details.html 8.9 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2.html 8.8 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/08. The Point Cloud Library (PCL).html 8.8 kB
Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/Project Rubric - Radar Target Generation and Detection.html 8.8 kB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/04. Projects.html 8.8 kB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. L5 C5.3 Atom4 (HS, SC)-ID_zxQ37V3s.en.vtt 8.8 kB
Part 05-Module 01-Lesson 02_Kalman Filters/23. More Kalman Filters.html 8.8 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/11. Boost Your Visibility.html 8.7 kB
Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/03. Student Hub.html 8.7 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/11. Extra Challenge PCA Boxes.html 8.7 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages.html 8.6 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories.html 8.6 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/04. Create Your Elevator Pitch.html 8.6 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/04. Lesson Variables and Equations.html 8.6 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/Project Description - Autonomous Systems Interview Practice Project.html 8.6 kB
Part 05-Module 01-Lesson 02_Kalman Filters/08. Measurement and Motion.html 8.6 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/13. The PCL Viewer.html 8.6 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/04. One Piece of the Puzzle.html 8.6 kB
Part 05-Module 01-Lesson 02_Kalman Filters/24. Kalman Filter Design.html 8.5 kB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/05. FP C6.5 Atom1 (HS, SC)-_gn3yqpzKmU.en.vtt 8.5 kB
Part 03_Camera/Module 01_Lessons/Lesson 05_Camera Based 2D Feature Tracking/rubric.json 8.5 kB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/04. ND313 C03 L04 A09 C44 Intro Pt 2-Ap6uNX95Ewc.en.vtt 8.5 kB
Part 05-Module 01-Lesson 02_Kalman Filters/25. Kalman Matrices-ade97UKqSIc.es-ES.vtt 8.5 kB
Part 02-Module 01-Lesson 05_Lidar Obstacle Detection Project/Project Rubric - Lidar Obstacle Detection.html 8.5 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/14. MappingLocalization Engineer.html 8.4 kB
Part 02-Module 01-Lesson 04_Working with Real PCD/08. Lidar Obstacle Detection Project.html 8.4 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/01. Welcome!.html 8.4 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects.html 8.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/12. Motion Planning Engineer.html 8.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/10. Deep Learning Engineer.html 8.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/08. Perception Engineer.html 8.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/06. Research the Company.html 8.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/16. Control Engineer.html 8.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/01. Welcome to the Course!.html 8.4 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/07. Let_s Get Started.html 8.4 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/22. Sensor Fusion General Flow.html 8.4 kB
Part 05-Module 01-Lesson 02_Kalman Filters/26. Conclusion.html 8.4 kB
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Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/21. Final Thoughts.html 8.3 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/03. Your Part.html 8.3 kB
Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/02. Job Titles.html 8.3 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items.html 8.3 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter.html 8.3 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/06. RANSAC.html 8.3 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/Project Description - Improve Your LinkedIn Profile.html 8.3 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/12. Up Next.html 8.2 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/01. Kalman Filters in C++.html 8.2 kB
Part 02-Module 01-Lesson 04_Working with Real PCD/09. Tracking and Challenge Problem.html 8.2 kB
Part 05-Module 01-Lesson 02_Kalman Filters/20. Kalman Filter Land.html 8.2 kB
Part 02-Module 01-Lesson 05_Lidar Obstacle Detection Project/01. Submitting Your Project.html 8.2 kB
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Part 03-Module 01-Lesson 07_Track an Object in 3D Space/05. Compute Camera-based TTC.html 8.2 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/02. Introduction.html 8.2 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2.html 8.1 kB
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Part 05-Module 01-Lesson 02_Kalman Filters/01. Introduction.html 8.1 kB
Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/05. Access the Career Portal.html 8.1 kB
Part 05-Module 01-Lesson 02_Kalman Filters/25. Kalman Matrices-ade97UKqSIc.ja-JP.vtt 8.1 kB
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Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository.html 8.0 kB
Part 06-Module 01-Lesson 01_Industry Research/06. Conduct an Informational Interview.html 8.0 kB
Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/04. Community Initiatives.html 8.0 kB
Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/02. Target Generation and Detection.html 7.9 kB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/06. Performance Evaluation.html 7.9 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes #1.html 7.9 kB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/01. Introduction.html 7.9 kB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/01. Mid-Term Project Introduction.html 7.8 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/02. MBRDNA Introduction.html 7.8 kB
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Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/04. Descriptor Extraction _ Matching.html 7.8 kB
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Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/02. The Data Buffer.html 7.6 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/09. Using Lidar on an Autonomous Vehicle.html 7.5 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/14. Representing Lidar in a Simulator.html 7.5 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/03. Why Use an Elevator Pitch.html 7.5 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/03. CFAR.html 7.4 kB
Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/01. Getting Help.html 7.4 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/05. What is a Point Cloud.html 7.4 kB
Part 05-Module 01-Lesson 01_Introduction and Sensors/04. Lidar Strengths and Weaknesses.html 7.4 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/07. Point Cloud Tools.html 7.4 kB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/06. Andreas Haja.html 7.3 kB
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Part 05-Module 01-Lesson 04_Unscented Kalman Filters/index.html 7.3 kB
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Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/20. Outro.html 7.3 kB
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Part 04-Module 01-Lesson 01_Introduction/03. MATLAB.html 7.1 kB
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Part 02-Module 01-Lesson 02_Point Cloud Segmentation/01. Segmentation.html 7.0 kB
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Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice/index.html 6.9 kB
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Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/02. Prerequisites.html 6.7 kB
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Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/05. Aaron Brown.html 6.6 kB
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Part 02-Module 01-Lesson 02_Point Cloud Segmentation/09. Michael on Segmenting the Plane.html 6.4 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/02. Michael on Detection and Segmentation.html 6.4 kB
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Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/08. Dominik Nuss.html 6.4 kB
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Part 02-Module 01-Lesson 02_Point Cloud Segmentation/10. Outro.html 6.2 kB
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Part 01-Module 02-Lesson 01_Get Help with Your Account/01. FAQ.html 6.2 kB
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Part 04-Module 01-Lesson 02_Radar Principles/08. What Does a Sensor Fusion Engineer Need to Know.html 6.1 kB
Part 05-Module 01-Lesson 01_Introduction and Sensors/03. Radar Strengths and Weaknesses.html 6.1 kB
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Part 05-Module 01-Lesson 02_Kalman Filters/index.html 6.1 kB
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Part 05-Module 01-Lesson 01_Introduction and Sensors/01. The Benefits of Sensors.html 6.0 kB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/04. Camera Technology at MBRDNA.html 6.0 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/index.html 6.0 kB
Part 05-Module 01-Lesson 01_Introduction and Sensors/02. Introduction.html 6.0 kB
Part 03-Module 01-Lesson 04_Tracking Image Features/06. Tracking an Object Across Images.html 6.0 kB
Part 04-Module 01-Lesson 01_Introduction/02. Introduction to Andrei.html 6.0 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/06. What Kind of Math Do Radar Engineers Use.html 5.9 kB
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Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/04. Course Structure.html 5.9 kB
Part 02_Lidar Obstacle Detection/Module 01_Lessons/Lesson 05_Lidar Obstacle Detection Project/rubric.json 5.9 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/index.html 5.8 kB
Part 01_Welcome/Module 02_Career Support/Lesson 01_Get Help with Your Account/data.json 5.8 kB
Part 05-Module 01-Lesson 05_Unscented Kalman Filter Highway Project/Project Description - Unscented Kalman Filter Highway Project.html 5.8 kB
Part 05-Module 01-Lesson 01_Introduction and Sensors/06. Outro.html 5.8 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/08. ND312 C1 L3 A39 Euclidean Clustering - Concept [LB]-MnN9-_vUz2g.en.vtt 5.8 kB
Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/05. Early Fusion vs. Late Fusion.html 5.8 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.ja-JP.vtt 5.7 kB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/03. Standard CV vs Deep Learning.html 5.7 kB
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Part 03-Module 01-Lesson 01_Introduction/02. Introduction to Timo.html 5.7 kB
Part 01-Module 02-Lesson 01_Get Help with Your Account/02. Support.html 5.7 kB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/01. Sensor Fusion.html 5.7 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/01. Clutter, CFAR, AoA.html 5.7 kB
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Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/02. Sensors.html 5.6 kB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/04. Camera.html 5.6 kB
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Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/03. Lidar.html 5.6 kB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/05. Radar.html 5.6 kB
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Part 02-Module 01-Lesson 03_Clustering Obstacles/07. ND313 C01 L03 Searching For A Point In A KD Tree Code-EFgF_C_tOkw.en.vtt 5.6 kB
Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/07. Kalman Filters.html 5.6 kB
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Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/index.html 5.6 kB
Part 04-Module 01-Lesson 05_Clustering and Tracking/01. Clustering and Tracking.html 5.6 kB
Part 05-Module 01-Lesson 02_Kalman Filters/18. Kalman Filter Code-X7cixvcogl8.zh-CN.vtt 5.5 kB
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Part 05-Module 01-Lesson 02_Kalman Filters/25. Kalman Matrices-LEuzK9X7_hM.zh-CN.vtt 5.4 kB
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Part 03-Module 01-Lesson 08_Final Thoughts from Timo/01. Final Thoughts.html 5.3 kB
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Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/05. ND313 C03 L04 A10 C45 Intro-OMqg22EGssM.en.vtt 5.0 kB
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Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/index.html 5.0 kB
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Part 02-Module 01-Lesson 02_Point Cloud Segmentation/index.html 5.0 kB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/index.html 4.9 kB
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Part 02-Module 01-Lesson 04_Working with Real PCD/index.html 4.9 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ja-JP.vtt 4.8 kB
Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/index.html 4.8 kB
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Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/index.html 4.8 kB
Part 04-Module 01-Lesson 02_Radar Principles/index.html 4.8 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/13. Programming Assignment-gTEQHV_1E2k.zh-CN.vtt 4.7 kB
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Part 03-Module 01-Lesson 04_Tracking Image Features/index.html 4.7 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.7 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/index.html 4.7 kB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/index.html 4.7 kB
Part 05-Module 01-Lesson 02_Kalman Filters/23. More Kalman Filters-hUnTg5v4tDU.zh-CN.vtt 4.7 kB
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Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/index.html 4.6 kB
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Part 05-Module 01-Lesson 01_Introduction and Sensors/index.html 4.6 kB
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Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/02. ND313 C03 L04 A06 C42 Intro-9ndzOpPHxA4.en.vtt 4.6 kB
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Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/index.html 4.5 kB
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Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/index.html 4.5 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.zh-CN.vtt 4.5 kB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/index.html 4.5 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/index.html 4.5 kB
Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/03. ND313 C03 L04 A07 C43 Intro-CVXysH5gHUQ.en.vtt 4.5 kB
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Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/03. ND313 C03 L01 A07 C14 Mid-mb4UTgUgu4w.en.vtt 1.8 kB
Part 04-Module 01-Lesson 02_Radar Principles/04. L1A25 FMCW-yzaJiswdgMQ.en.vtt 1.8 kB
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Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/22. Sensor Fusion General Processing Flow-dcTY4vRg5vo.en.vtt 1.8 kB
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Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/01. ND313 C03 L01 A03 C12 Outro-Gby_V8-pJV8.en.vtt 1.7 kB
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Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/02. ND313 C03 L02 A03 C22 Quiz-YWatEESYasw.en.vtt 1.6 kB
Part 05-Module 01-Lesson 02_Kalman Filters/09. Shifting the Mean-8c479K2UCZo.zh-CN.vtt 1.6 kB
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Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/06. ND313 C1 L1 A04 PCD Coordinates [LB]-nRjGYqhl9JU.en.vtt 1.6 kB
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Part 03-Module 01-Lesson 04_Tracking Image Features/02. ND313 C03 L03 A05 C32 Outro-NKV9IIfxOaI.en.vtt 1.6 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/22. Sensor Fusion General Processing Flow-dcTY4vRg5vo.zh-CN.vtt 1.6 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/10. ND313 Michael Intv 16 Are Bounding Boxes Best Way To Track Objects In Point Cloud V2-kk39stQPG84.en.vtt 1.6 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/10. UKF Process Chain-sU7ifLgxxas.zh-CN.vtt 1.6 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/20. Assignment Sigma Point Prediction-RQvnRpSPUak.en.vtt 1.6 kB
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Part 02-Module 01-Lesson 02_Point Cloud Segmentation/09. ND313 Michael Intv 18 Do You Generall Segment Out The Ground Plane From A Point Cloud V2-2rJpIjcfUTo.en.vtt 1.5 kB
Part 02-Module 01-Lesson 02_Point Cloud Segmentation/03. ND313 C1 L2 A04 Point Processing Solution-p95bjDsEhz0.en.vtt 1.5 kB
Part 03-Module 01-Lesson 06_Combining Camera and Lidar/02. L5 C5.2 Atom4 (HS)-AvGh3pFQKJQ.en.vtt 1.5 kB
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Part 05-Module 01-Lesson 04_Unscented Kalman Filters/05. CTRV Integral Last 3-dcR9RtwJ6yk.en.vtt 1.5 kB
Part 04-Module 01-Lesson 03_Range-Doppler Estimation/06. ND313 Andrei Intv 17 What Kind Of Math Should Radar Engineers Know-ofBWbJ3UrWo.en.vtt 1.5 kB
Part 05-Module 01-Lesson 02_Kalman Filters/19. Kalman Prediction-tSfmiuB9s2c.es-ES.vtt 1.5 kB
Part 05-Module 01-Lesson 02_Kalman Filters/15. New Mean and Variance-SwxRWZaC1FM.ru.vtt 1.5 kB
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Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/18. ND313 C1 L1 A18 Update Lidar Parameters Solution-tkLrkRrLsDQ.en.vtt 1.5 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/12. UKF Basic Unscented Transformation-r594P0XjKa4.en.vtt 1.5 kB
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Part 02-Module 01-Lesson 02_Point Cloud Segmentation/02. ND313 Michael Intv 13 How Do You Use Lidar To Detect Object In Environment V2-E3qIeLVy6Uw.en.vtt 1.5 kB
Part 05-Module 01-Lesson 01_Introduction and Sensors/06. Wrap Up-Pe70LsgCa28.ja-JP.vtt 1.5 kB
Part 05-Module 01-Lesson 02_Kalman Filters/01. Kalman Filter Introduction-2zmbIjHpkRM.zh-CN.vtt 1.5 kB
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/03. L3A31 CFAR 1D-6BS6fhEsy1M.en.vtt 1.5 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/08. CTRV Process Noise Vector-Qr99RXys-G0.en.vtt 1.4 kB
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Part 02-Module 01-Lesson 04_Working with Real PCD/08. ND313 C1 L4 A30 Lidar Obstacle Detection Project [LB]-lGbHW8SMu24.en.vtt 1.4 kB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt 1.4 kB
Part 03-Module 01-Lesson 04_Tracking Image Features/04. ND313 Timo Intv 10 Can You Describe SIFT-r0BhmnZpyiI.en.vtt 1.4 kB
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Part 03-Module 01-Lesson 06_Combining Camera and Lidar/02. L5 C5.2 Atom5 (HS)-jh75oLxSfo0.en.vtt 1.4 kB
Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/05. ND313 C03 L01 A08 C15 Intro-fAPWyNCrzFo.en.vtt 1.4 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/25. Outro-k5VhLE0OoOM.ja-JP.vtt 1.4 kB
Part 03-Module 01-Lesson 07_Track an Object in 3D Space/06. FP C6.6 Atom1 (HS)-bozht0VBXvA.en.vtt 1.4 kB
Part 05-Module 01-Lesson 02_Kalman Filters/14. Separated Gaussians 2-edcfMK_bKXw.es-ES.vtt 1.4 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/21. EKF Algortihm Generalization-co0ZczAuwdM.ja-JP.vtt 1.4 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/03. State Vector Introduction-hLVz0YOhntA.en.vtt 1.4 kB
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Part 05-Module 01-Lesson 02_Kalman Filters/15. New Mean and Variance-yo8jf0U4hlc.ja-JP.vtt 1.4 kB
Part 04-Module 01-Lesson 02_Radar Principles/02. ND313 Andrei Intv 07 What Types Of Radar Do Self Driving-23ljUY31nBw.en.vtt 1.4 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.4 kB
Part 02-Module 01-Lesson 04_Working with Real PCD/04. ND313 Michael Intv 21 Do You Ever Downsample Lidar Data-ry17-7srqlE.en.vtt 1.4 kB
Part 05-Module 01-Lesson 02_Kalman Filters/15. New Mean and Variance-yo8jf0U4hlc.es-ES.vtt 1.4 kB
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Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/10. ND313 C1 L1 A07 The Course Starter Code [LB]-yVdyzmStvFI.en.vtt 1.3 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/07. CTRV Zero Yaw Rate-8gAsx7OAH6c.en.vtt 1.3 kB
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Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/11. Laser Measurements-drbV05qKV8w.ja-JP.vtt 1.3 kB
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Part 05-Module 01-Lesson 02_Kalman Filters/04. Variance Comparison-rczAG7meAY4.ja-JP.vtt 1.3 kB
Part 02-Module 01-Lesson 03_Clustering Obstacles/02. ND312 C1 L3 A01 Clustering Obstacles - Concept-QCb00ohqITw.en.vtt 1.3 kB
Part 05-Module 01-Lesson 04_Unscented Kalman Filters/20. Assignment Sigma Point Prediction-RQvnRpSPUak.zh-CN.vtt 1.3 kB
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Part 05-Module 01-Lesson 04_Unscented Kalman Filters/05. CTRV Integral Last 3-dcR9RtwJ6yk.zh-CN.vtt 1.3 kB
Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/21. EKF Algortihm Generalization-co0ZczAuwdM.en.vtt 1.3 kB
Part 04-Module 01-Lesson 05_Clustering and Tracking/04. L4A45 Kalman Tracking+ Walkthru-ngcuSwsOgE8.en.vtt 1.3 kB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt 1.3 kB
Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/08. ND313 C1 L1 A06 PCL Library [LB]-Krl-LJi3Sis.en.vtt 1.2 kB
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Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 Bytes
Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/02. ND313 Andrei Intv 21 What Is Clutter And How Do You Overcome It-upjmf4iSiH0.en.vtt 437 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/09. Shifting the Mean-HmcurWkA0fQ.zh-CN.vtt 434 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 Bytes
Part 04-Module 01-Lesson 02_Radar Principles/08. ND313 Andrei Intv 24 What Does A Sensor Fusion Engineer Need To Know About Radar-ZciVNtGHQEU.en.vtt 408 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.es-ES.vtt 408 Bytes
Part 04-Module 01-Lesson 05_Clustering and Tracking/03. ND313 Andrei Intv 25 Why Are Kalman Filters Useful For Working With Radar-lw-pjoyf6gk.en.vtt 400 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.en.vtt 397 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-JNDsm_Gzxi0.ja-JP.vtt 381 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.ja-JP.vtt 376 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-JNDsm_Gzxi0.es-ES.vtt 376 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-JNDsm_Gzxi0.en.vtt 373 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-JNDsm_Gzxi0.ja.vtt 365 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-JNDsm_Gzxi0.zh-CN.vtt 363 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-cUKlYjQEQGY.es-ES.vtt 362 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.zh-CN.vtt 349 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/17. Predict Function-AMFig-sYGfM.ja.vtt 340 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-cUKlYjQEQGY.en.vtt 334 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.ja-JP.vtt 333 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-cUKlYjQEQGY.ja-JP.vtt 333 Bytes
Part 02-Module 01-Lesson 03_Clustering Obstacles/01. ND313 Michael Intv 15 What Is Clustering-w7EmEiKPMeQ.en.vtt 329 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.ja.vtt 319 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/17. Predict Function-AMFig-sYGfM.ja-JP.vtt 317 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.zh-CN.vtt 315 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/17. Predict Function-AMFig-sYGfM.es-ES.vtt 314 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.es-ES.vtt 301 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-cUKlYjQEQGY.ja.vtt 301 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.en.vtt 298 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/13. Separated Gaussians-fGcozDEwnwY.ja-JP.vtt 297 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/17. Predict Function-AMFig-sYGfM.en.vtt 297 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/13. Separated Gaussians-fGcozDEwnwY.es-ES.vtt 294 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.en.vtt 292 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/17. Predict Function-AMFig-sYGfM.zh-CN.vtt 292 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/22. Another Prediction-cUKlYjQEQGY.zh-CN.vtt 281 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion-xNPEjY4dsds.es-ES.vtt 275 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/13. Separated Gaussians-fGcozDEwnwY.ja.vtt 271 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/13. Separated Gaussians-fGcozDEwnwY.en.vtt 270 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.es-ES.vtt 268 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.ja-JP.vtt 259 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.ja.vtt 246 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion-xNPEjY4dsds.ja-JP.vtt 244 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion-xNPEjY4dsds.en.vtt 243 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.ja.vtt 242 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion-xNPEjY4dsds.zh-CN.vtt 237 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/13. Separated Gaussians-fGcozDEwnwY.zh-CN.vtt 236 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.zh-CN.vtt 229 Bytes
Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion-xNPEjY4dsds.ja.vtt 181 Bytes
Become a Sensor Fusion Engineer (Official page).txt 71 Bytes
0. Websites you may like/[DesireCourse.Net].url 51 Bytes
Part 02_Lidar Obstacle Detection/[DesireCourse.Net].url 51 Bytes
Part 03-Module 01-Lesson 04_Tracking Image Features/[DesireCourse.Net].url 51 Bytes
Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/[DesireCourse.Net].url 51 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/[DesireCourse.Net].url 51 Bytes
[DesireCourse.Net].url 51 Bytes
0. Websites you may like/[CourseClub.Me].url 48 Bytes
Part 02_Lidar Obstacle Detection/[CourseClub.Me].url 48 Bytes
Part 03-Module 01-Lesson 04_Tracking Image Features/[CourseClub.Me].url 48 Bytes
Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/[CourseClub.Me].url 48 Bytes
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/[CourseClub.Me].url 48 Bytes
[CourseClub.Me].url 48 Bytes
[HI-RES] ME!ME!ME! + ME!ME!ME! CHRONIC + GIRL 485.4 MB
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