Constraint- and Risk-Driven Search for Safety-Critical Scenarios in Autonomous Driving Simulation
Efficient discovery of safety-critical scenarios is a central problem in autonomous-driving simulation because safety-critical events are rare and the scenario parameter space is often high-dimensional. Direct random sampling can spend most of the simulation budget on samples that are weakly relevant, physically unreac...