2 papers
cs.RO2024
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
Keyu Chen, Yuheng Lei, Hao Cheng +3
Generating safety-critical scenarios, which are essential yet difficult to collect at scale, offers an effective method to evaluate the robustness of autonomous vehicles (AVs). Exi…
cs.CV2024
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
Wenchao Sun, Xuewu Lin, Yining Shi +3
The well-established modular autonomous driving system is decoupled into different standalone tasks, e.g. perception, prediction and planning, suffering from information loss and e…