NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous
Driving
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous
Driving
We present a versatile NeRF-based simulator for testing autonomous driving (AD) software systems, designed with a focus on sensor-realistic closed-loop evaluation and the creation of safety-critical scenarios. The simulator learns from sequences of real-world driving sensor data and enables reconfigurations and renderings of new, unseen scenarios. In this work, we …