Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles

Understand

Testing and evaluation is a crucial step in the development and deployment of Connected and Automated Vehicles (CAVs).

• To comprehensively evaluate the performance of CAVs, it is of necessity to test the CAVs in safety-critical scenarios, which rarely happen in naturalistic driving environment.
• Therefore, how to purposely and systematically generate these corner cases becomes an important problem.
• Most existing studies focus on generating adversarial examples for perception systems of CAVs, whereas limited efforts have been put on the decision-making systems, which is the highlight of this paper.