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