S2R-Bench is a real-world sensor-anomaly dataset for autonomous driving with paired simulated corruptions, used to compare how well simulated robustness benchmarks match reality.
Mufasa: Multi-view fusion and adaptation network with spatial aware- ness for radar object detection,
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S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving
S2R-Bench is a real-world sensor-anomaly dataset for autonomous driving with paired simulated corruptions, used to compare how well simulated robustness benchmarks match reality.