Learning Robust Policies for Self-Driving

Learning Robust Policies for Self-Driving

Andreas Geiger via YouTube Direct link

TransFuser: Loss Functions

8 of 26

8 of 26

TransFuser: Loss Functions

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Learning Robust Policies for Self-Driving

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  1. 1 Intro
  2. 2 Self-Driving - A Human Dream
  3. 3 Imitation Learning
  4. 4 Sensors
  5. 5 Geometric Fusion Lacks Global Context
  6. 6 TransFuser: Key Idea
  7. 7 TransFuser. Full Architecture
  8. 8 TransFuser: Loss Functions
  9. 9 TransFuser. Experimental Evaluation
  10. 10 TransFuser: Results on Longest6 Benchmark
  11. 11 TransFuser. Results on CARLA Leaderboard
  12. 12 TransFuser. Attention Maps
  13. 13 TransFuser. Failures
  14. 14 Rule-based Planner
  15. 15 End-to-End Driving Policy
  16. 16 Learned Planner
  17. 17 PlanT: Intermediate Representation
  18. 18 PlanT: Model
  19. 19 PlanT: Input Representation
  20. 20 KING: Critical Scenarios as Attacks
  21. 21 KING: Overview
  22. 22 KING: Gradient Paths
  23. 23 KING: Cost Functions
  24. 24 KING: Collision Types
  25. 25 KING: Adversarial Cut-in Maneuver
  26. 26 Summary

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