Event
AuRaSim: A Ray-Tracing-Based Automotive FMCW Radar Simulation Framework
1 reports · 1 sources
Zhaoze Wang and other authors propose AuRaSim, a ray-tracing-based automotive FMCW radar simulation framework for dynamic scenes, used to generate coherent multi-channel ADC data. The framework uses Blender to build dynamic scenes, uses Sionna RT for GPU-accelerated electromagnetic ray tracing, and adds path-level complex coefficient propagation, motion-aware Doppler modeling, and waveform-configuration-driven ADC cube synthesis. In a digital twin scene, the comparison between simulated and measured range-Doppler maps yields RMSE 0.147 and PSNR 16.93 dB.
Report timeline
- AuRaSim: A Ray-Tracing Automotive FMCW Radar Simulator for Dynamic Scenarios
AuRaSim is a ray-tracing-based automotive FMCW radar simulation framework that generates coherent multi-channel ADC data for dynamic scenarios. It builds dynamic scenes with Blender, performs GPU-accelerated electromagnetic ray tracing with Sionna RT, and adds path-level complex-coefficient propagation, motion-aware Doppler modeling, and waveform-configuration-driven ADC cube synthesis. In a digital twin scenario, the simulated and measured range-Doppler maps achieve an RMSE of 0.147 and a PSNR of 16.93 dB.
arXiv cs.RO ·