Learning Robust Policies for Self-Driving

Explore a comprehensive talk from the ECCV 2022 workshop on Autonomous Vehicle Vision, focusing on robust policies for self-driving vehicles. Delve into three key projects: TransFuser, PlanT, and KING. Examine the challenges of geometric fusion, the benefits of global context in perception, and innovative approaches to imitation learning. Investigate the architecture, loss functions, and experimental results of TransFuser, including its performance on benchmarks and the CARLA Leaderboard. Learn about end-to-end driving policies, intermediate representations in learned planners, and the concept of critical scenarios as attacks in autonomous driving. Gain insights into gradient paths, cost functions, and collision types in adversarial scenarios, concluding with a summary of cutting-edge advancements in self-driving technology.