[FreeCoursesOnline.Me] UDACITY - Sensor Fusion v2.0.0 Nanodegree Program
File List
- Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/01. ND313 C03 L04 A02 C41 Mid-LmTtSYRfi7g.mp4 55.3 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/03. ND312 C1 L3 A10 Euclidean Clustering With PCL - Solution-4fX2d-7Ym-c.mp4 50.0 MB
- Part 03-Module 01-Lesson 07_Track an Object in 3D Space/02. FP C6.2 Atom1 (HS, SC)-0yJ7gE2JMcw.mp4 48.0 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/02. ND313 C1 L4 A06 Load PCD - Solution-Y7kFT1dW6iQ.mp4 39.5 MB
- Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 32.5 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/01. L5 C5.1 Atom8 (HS, SC)-B7e3eD7Knl8.mp4 32.5 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. L5 C5.3 Atom3 (HS, SC)-kX5W8Gud7So.mp4 31.7 MB
- Part 02-Module 01-Lesson 02_Point Cloud Segmentation/07. ND313 C1 L2 A17 Implementing RANSAC For Lines Solution [Too Long]-csyq4eYM480.mp4 31.4 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/img.zip 31.1 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/01. L5 C5.1 Atom3 (SC)-pzYFO12BiE0.mp4 31.1 MB
- Part 03-Module 01-Lesson 01_Introduction/01. ND313 C03 L01 A01 Course Intro-1Ainh-JHmGw.mp4 29.3 MB
- Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/04. ND313 C03 L02 A06 C24 Intro-8ViLZSG-ofg.mp4 28.3 MB
- Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.0 MB
- Part 02-Module 01-Lesson 02_Point Cloud Segmentation/05. ND313 C1 L2 A10 Separating Point Clouds Solution-5aMtbD3criU.mp4 23.4 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/07. ND313 C1 L4 A20 Stream PCD - Solution-gycfszhCttY.mp4 23.1 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/20. Kalman Filter Land-LXJ5jrvDuEk.mp4 22.6 MB
- Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.8 MB
- Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/05. ND313 C03 L04 A10 C45 Intro-OMqg22EGssM.mp4 20.9 MB
- Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 20.6 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/25. Kalman Matrices-ade97UKqSIc.mp4 18.8 MB
- Part 03-Module 01-Lesson 07_Track an Object in 3D Space/01. FP C6.1 Atom1 (HS, SC)-ghUqSPmPuZA.mp4 18.5 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 18.4 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/08. ND312 C1 L3 A43 Euclidean Clustering - Solution-M08ohGZFdbY.mp4 18.0 MB
- Part 03-Module 01-Lesson 07_Track an Object in 3D Space/05. FP C6.5 Atom1 (HS, SC)-_gn3yqpzKmU.mp4 17.9 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/06. ND313 C1 L3 A33 Insert Points - Solution-CAG021S8Mco.mp4 17.8 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/11. Parameter Update-d8UrbKKlGxI.mp4 17.3 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/06. ND312 C1 L3 A29 Insert Points - Concept [LB]-kYhS20w1Bnk.mp4 17.3 MB
- Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/04. ND313 C03 L04 A09 C44 Intro Pt 2-Ap6uNX95Ewc.mp4 17.2 MB
- Part 05-Module 01-Lesson 01_Introduction and Sensors/03. Radar Strengths And Weaknesses-m7kpRg3bEI8.mp4 17.0 MB
- Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/img.zip 16.8 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/03. ND313 C03 L03 A07 C33 Outro Pt 2-Hel5bW4bD4w.mp4 16.3 MB
- Part 05-Module 01-Lesson 01_Introduction and Sensors/02. Introduction-4E6RtK_Ml1I.mp4 16.2 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. L5 C5.3 Atom4 (HS, SC)-ID_zxQ37V3s.mp4 15.9 MB
- Part 05-Module 01-Lesson 05_Unscented Kalman Filter Highway Project/img.zip 15.8 MB
- Part 04-Module 01-Lesson 02_Radar Principles/02. L1A05 Radar Sensor-jpJT85km4jA.mp4 15.1 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/03. ND313 C03 L03 A07 C33 Outro-ybf16ErRqVg.mp4 15.0 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/25. Kalman Matrices-LEuzK9X7_hM.mp4 14.6 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/03. ND313 Michael Intv 04 What Is Lidar V2-IGODQteik6M.mp4 14.6 MB
- Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/01. Why Network-exjEm9Paszk.mp4 14.5 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 14.4 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/04. ND313 C03 L03 A09 C34 Outro-69oJ9Jx2DPE.mp4 14.0 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/18. Kalman Filter Code-X7cixvcogl8.mp4 14.0 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/02. Tracking Intro-BkjQzEyJWrE.mp4 13.7 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 13.7 MB
- Part 04-Module 01-Lesson 06_Radar Target Generation and Detection/01. Final Project Walkthrough-DIVmHps0G8M.mp4 13.6 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 13.6 MB
- Part 03-Module 01-Lesson 07_Track an Object in 3D Space/03. FP C6.3 Atom1 (HS, SC)-UqaC-d8vhyY.mp4 13.5 MB
- Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/03. 03 SF Courses V1-JrLLGlIjYQA.mp4 13.4 MB
- Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.2 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/05. ND313 C01 L01 Filtering Using PCL-62Bk64oquzY.mp4 12.9 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 12.9 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/05. ND313 C1 L4 A08 Filtering With PCL Pt 2-FRIm7Ya8Xy8.mp4 12.7 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/04. ND313 C03 L03 A08 C34 Intro-0ddUBGq8Gig.mp4 12.6 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/05. ND312 C1 L3 A17 Inserting Points Into KD-Tree Without Quiz [LB]-Va2NBXOTNlY.mp4 12.3 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/02. ND313 C1 L4 A03 Load PCD - Concept-Mecr0DuuwTY.mp4 12.3 MB
- Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/03. ND313 C03 L04 A07 C43 Intro-CVXysH5gHUQ.mp4 12.2 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/23. More Kalman Filters-hUnTg5v4tDU.mp4 12.2 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/01. ND313 C03 L03 A01 C31 Intro-2E9TNZlCGX8.mp4 12.2 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 12.1 MB
- Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/img.zip 11.6 MB
- Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/02. ND313 C03 L04 A06 C42 Intro-9ndzOpPHxA4.mp4 11.6 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/24. Kalman Filter Design-KYEr4BXhD_E.mp4 11.6 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 11.6 MB
- Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/01. 01 SF Welcome V1-OkVTmqAXlNE.mp4 11.4 MB
- Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/02. 06 Sensors V1-Y_jzq22_2Rw.mp4 11.3 MB
- Part 02-Module 01-Lesson 02_Point Cloud Segmentation/04. ND313 C1 L2 A07 Segmenting Plane With PCL Solution-80hf7xu-_8Y.mp4 11.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/06. 10 Fusion V1-pKkpmCakIg8.mp4 11.3 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/19. ND313 C1 L1 A21 Simulater PCD Solution-l_rQIPlnyUg.mp4 11.2 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/05. ND313 C1 L4 A07 Filtering With PCL-yLG_OKDW9Fs.mp4 11.2 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/img.zip 11.0 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 11.0 MB
- Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/01. ND313 C03 L02 A01b C21-A4-T8tSjKZaJfQ.mp4 11.0 MB
- Part 05-Module 01-Lesson 04_Unscented Kalman Filters/32. What to Expect from the Project-WAt_g6HgYvs.mp4 10.8 MB
- Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/02. 02 SF PreReqs V1-a8aQR0MvnZI.mp4 10.8 MB
- Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA/04. Workspace Lesson 3-K2W4eMuWwgk.mp4 10.8 MB
- Part 02-Module 01-Lesson 02_Point Cloud Segmentation/04. ND313 C1 L2 A06 Walking Through Pcl Segmentation-8n3BrJ51dSU.mp4 10.7 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 10.7 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/05. ND313 C03 L03 A11 C35 Mid-nawEaRwnu2c.mp4 10.7 MB
- Part 04-Module 01-Lesson 01_Introduction/02. ND313 Andrei Intv 01 And 02 Who Are You And Role V2-B23RwFxHqbU.mp4 10.5 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 10.4 MB
- Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program/04. 04 SF Projects V1-64fCz0xmGnk.mp4 10.4 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/01. ND313 C03 L03 A02 C31 Mid-g_sYIKjjdv4.mp4 10.4 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 10.4 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/10. ND313 C1 L1 A08 Starter Repo Walkthrough-LgoJWYESisI.mp4 10.4 MB
- Part 04-Module 01-Lesson 05_Clustering and Tracking/04. Workspace Lesson 5-9SZuZcOoba8.mp4 10.1 MB
- Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/01. ND313 C03 L04 A01 C41 Intro-NxhTpozqXIs.mp4 10.1 MB
- Part 05-Module 01-Lesson 04_Unscented Kalman Filters/34. Outro-G3soGuQeHGU.mp4 10.0 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/15. ND313 C1 L1 A12 Create Lidar-mU1kp4FXdVg.mp4 10.0 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/05. ND313 C03 L03 A10 C35 Intro-IGa4AUyl7YQ.mp4 9.9 MB
- Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/01. 05 Sensor Fusion Intro V1-EyTyFl9sSLs.mp4 9.6 MB
- Part 02-Module 01-Lesson 02_Point Cloud Segmentation/03. ND313 C1 L2 A03 Point Processing [LB]-ZXZL0l4t0X0.mp4 9.5 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 9.4 MB
- Part 05-Module 01-Lesson 01_Introduction and Sensors/01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.mp4 9.4 MB
- Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/03. ND313 C03 L02 A05 C23 Quiz-2eeP2SWrdiA.mp4 9.4 MB
- Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/01. ND313 C03 L02 A01 C21 Intro-td8UlKUk5wc.mp4 9.4 MB
- Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/03. ND313 C03 L02 A04 C23 Intro-h8WoErQle2U.mp4 9.3 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/04. ND312 C1 L3 A11 Implementing KD-Tree [LB]-OG49SnS9URs.mp4 9.3 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/18. ND313 C1 L1 A17 Lidar Paramaters [LB]-TwySby8ZZ3k.mp4 9.2 MB
- Part 04-Module 01-Lesson 03_Range-Doppler Estimation/04. L2 Workspace-Tic3xmsEg_A.mp4 9.2 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/01. L5 C5.1 Atom1 (HS)-mru6Yrt2Ufo.mp4 9.1 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/18. ND313 C1 L1 A18 Update Lidar Parameters Solution-tkLrkRrLsDQ.mp4 8.8 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 8.8 MB
- Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/02. ND313 C03 L01 A05 C13 Mid-nrYkozd_9Mc.mp4 8.8 MB
- Part 05-Module 01-Lesson 04_Unscented Kalman Filters/33. UKF Story Time-gFdT8W1fmf8.mp4 8.7 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/16. Gaussian Motion-X7YggdDnLaw.mp4 8.7 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 8.7 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/07. ND313 C01 L03 Searching In A KD Tree-4luIWnHiEJQ.mp4 8.7 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/04. ND313 Timo Intv 10 Can You Describe SIFT-r0BhmnZpyiI.mp4 8.6 MB
- Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/02. ND313 Timo Intv 28 Are Stereo Cameras Useful-adI6LK3S97U.mp4 8.6 MB
- Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/01. ND313 C03 L01 A02 C12 Intro-DQgs4Ty3Cz8.mp4 8.6 MB
- Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/03. 07 LIDAR V1-GdwO2JnEapQ.mp4 8.4 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/02. ND313 C03 L03 A04 C32 Intro-WL7Ybk5rm30.mp4 8.4 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.mp4 8.3 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 8.3 MB
- Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking/04. ND313 C03 L04 A08 C44 Intro-w-0hSIMq32o.mp4 8.3 MB
- Part 03-Module 01-Lesson 07_Track an Object in 3D Space/04. FP C6.4 Atom1 (HS, SC)-YAauGTeSilA.mp4 8.3 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/17. ND313 C1 L1 A16 Using Templates Solution [LB]-OiSh6DBynL0.mp4 8.3 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/04. Variance Comparison-rczAG7meAY4.mp4 8.2 MB
- Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds/06. ND313 C1 L1 A03 Point Cloud Data [LB]-ptExV1DFIbo.mp4 8.1 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/03. ND313 C03 L03 A06 C33 Intro-fqwXIypb6rQ.mp4 8.1 MB
- Part 05-Module 01-Lesson 04_Unscented Kalman Filters/31. Parameters And Consistency-S4fX3X_9oik.mp4 8.0 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/img.zip 8.0 MB
- Part 05-Module 01-Lesson 04_Unscented Kalman Filters/01. Intro-HbPxeJ3onmI.mp4 8.0 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/12. Parameter Update 2-_AAkw_fynwc.mp4 7.9 MB
- Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/13. Programming Assignment-gTEQHV_1E2k.mp4 7.7 MB
- Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 7.7 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 7.6 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/05. ND312 C1 L3 A28 Improving The Tree [LB]-9rL2pQLAk4o.mp4 7.6 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/03. Gaussian Intro-6IhtnM1e0IY.mp4 7.5 MB
- Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers/img.zip 7.4 MB
- Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/03. ND313 C03 L01 A07 C14 Mid-mb4UTgUgu4w.mp4 7.4 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 7.3 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 7.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/04. 08 Camera V1-daBPVFM6v-g.mp4 7.2 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/14. Separated Gaussians 2-edcfMK_bKXw.mp4 7.2 MB
- Part 04-Module 01-Lesson 02_Radar Principles/02. ND313 Andrei Intv 07 What Types Of Radar Do Self Driving-23ljUY31nBw.mp4 7.1 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 7.1 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 7.0 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 7.0 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/19. Kalman Prediction-tSfmiuB9s2c.mp4 6.9 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/02. ND313 C03 L03 A05 C32 Outro-NKV9IIfxOaI.mp4 6.9 MB
- Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 6.9 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 6.9 MB
- Part 02-Module 01-Lesson 02_Point Cloud Segmentation/03. ND313 C1 L2 A04 Point Processing Solution-p95bjDsEhz0.mp4 6.8 MB
- Part 02-Module 01-Lesson 03_Clustering Obstacles/08. ND312 C1 L3 A39 Euclidean Clustering - Concept [LB]-MnN9-_vUz2g.mp4 6.8 MB
- Part 03-Module 01-Lesson 03_Engineering a Collision Detection System/02. ND313 C03 L02 A03 C22 Quiz-YWatEESYasw.mp4 6.8 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/04. L5 C5.3 Atom1 (HS)-FcXzpiuDogk.mp4 6.7 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/01. Kalman Filter Introduction-2zmbIjHpkRM.mp4 6.6 MB
- Part 02-Module 01-Lesson 02_Point Cloud Segmentation/07. ND313 C1 L2 A12 Implementing RANSAC For Lines [LB]-IjT37Y7bpQU.mp4 6.6 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 6.6 MB
- Part 04-Module 01-Lesson 02_Radar Principles/02. ND313 Andrei Intv 06 What Challenges Do You Encounter-d_eBzzfmDj8.mp4 6.5 MB
- Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/02. Introduction And Overview-G57ZvTBAUL8.mp4 6.5 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/09. Shifting the Mean-8c479K2UCZo.mp4 6.3 MB
- Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion/05. 09 RADAR V1-JLpe3bckyuQ.mp4 6.3 MB
- Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 6.2 MB
- Part 04-Module 01-Lesson 03_Range-Doppler Estimation/03. ND313 Andrei Intv 15 What Is The Doppler Effect-0Dn1WQOitO4.mp4 6.2 MB
- Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++/15. Radar Measurements-LOz9AaHvB8M.mp4 6.0 MB
- Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 6.0 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/03. ND313 Timo Intv 09 Standard Cv Vs Deep Learning V2-p5DMU6ZJw2U.mp4 6.0 MB
- Part 05-Module 01-Lesson 04_Unscented Kalman Filters/10. UKF Process Chain-sU7ifLgxxas.mp4 5.9 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/01. ND313 C03 L03 A03 C31 Outro-kQNTa0x8CDI.mp4 5.9 MB
- Part 03-Module 01-Lesson 04_Tracking Image Features/05. ND313 C03 L03 A12 C35 Outro-vosXnbzD8V8.mp4 5.9 MB
- Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision/01. ND313 C03 L01 A03 C12 Outro-Gby_V8-pJV8.mp4 5.8 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/02. L5 C5.2 Atom5 (HS)-jh75oLxSfo0.mp4 5.8 MB
- Part 03-Module 01-Lesson 06_Combining Camera and Lidar/02. L5 C5.2 Atom1 (HS)-ZpyEq_U4pRY.mp4 5.8 MB
- Part 05-Module 01-Lesson 01_Introduction and Sensors/04. Lidar Strengths And Weaknesses-xpUduMU9-jo.mp4 5.8 MB
- Part 02-Module 01-Lesson 04_Working with Real PCD/08. ND313 C1 L4 A30 Lidar Obstacle Detection Project [LB]-lGbHW8SMu24.mp4 5.6 MB
- Part 05-Module 01-Lesson 02_Kalman Filters/10. Predicting the Peak-zc_GQiISQ3E.mp4 5.6 MB
- Part 05-Module 01-Lesson 04_Unscented Kalman Filters/13. 19 UKF Generate Sigma Points-t7YJJpEzTX4.mp4 5.6 MB
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