stachniss

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1. 1▶Point-to-Plane and Generalized ICP - 5 Minutes with CyrillLecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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2. 2▶Welcome to the Mobile Sensing and Robotics 2 Course (Cyrill Stachniss, 2021)Lecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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3. 3▶ICP & Point Cloud Registration - Part 3: Non-linear Least Squares (Cyrill Stachniss, 2021)Lecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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4. 4▶ICP & Point Cloud Registration - Part 2: Unknown Data Association (Cyrill Stachniss, 2021)Lecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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5. 5▶ICP & Point Cloud Registration - Part 1: Known Data Association & SVD (Cyrill Stachniss, 2021)Lecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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6. 6▶Least Squares - 5 Minutes with CyrillLecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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7. 7▶Bundle Adjustment - 5 Minutes with CyrillLecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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8. 8▶Iterative Closest Point (ICP) - 5 Minutes with CyrillLecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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9. 9▶SLAM - 5 Minutes with CyrillLecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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10. 10▶Robust Least Squares for Graph-Based SLAM (Cyrill Stachniss)Lecture: Mobile Sensing and Robotics 2 (Summer 2021, Uni Bonn)Notes
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11. 11▶MSR Course - 01 Welcome to the Course (Cyrill Stachniss)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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12. 12▶MSR Course - 12 Clustering (Stachniss)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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13. 13▶MSR Course - 11 Ensemble Classification (Chebrolu)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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14. 14▶MSR Course - 10 Classification: NN and Decision Trees (Chebrolu)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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15. 15▶MSR Course - 09 Robot Motion Planning with A* (Stachniss)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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16. 16▶MSR Course - 08 Robot Control (Chebrolu)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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17. 17▶MSR Course - 07 Particle Filter (Stachniss)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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18. 18▶MSR Course - 06 EKF Localization (Chebrolu)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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19. 19▶MSR Course - 05 Motion and Sensor Models (Stachniss)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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20. 20▶MSR Course - 04 Locomotion (Stachniss)Lecture: Mobile Sensing and Robotics 1 (Summer 2019, Uni Bonn)Notes
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21. 21▶SLAM Course - 13 - Grid-Based SLAM with Rao-Blackwellized PFs (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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22. 22▶SLAM Course - 12 - FastSLAM (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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23. 23▶SLAM Course - 11 - Particle Filters - A Short Intro (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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24. 24▶SLAM Course - 10 - Grid Maps (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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25. 25▶SLAM Course - 08 - Sparse Extended Information Filter - Part 2 (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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26. 26▶SLAM Course - 09 - Short Kalman Filter Wrap-Up (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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27. 27▶SLAM Course - 08 - Sparse Extended Information Filter - Part 1 (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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28. 28▶SLAM Course - 07 - Extended Information Filter (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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29. 29▶SLAM Course - 06 - Unscented Kalman Filter (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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30. 30▶SLAM Course - 05 - EKF SLAM (2013/14; Cyrill Stachniss)SLAM Course (2013)Notes
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