SOURCE-LINKED INTELLIGENCE
A Degradation-Tolerance Benchmark for Camera-Only End-to-End Driving
Camera-only end-to-end (E2E) driving models are nearing deployment, where the camera stream is degraded by blur, noise, low light, weather, frame loss, and memory faults. How much a policy tolerates before its driving breaks is unclear. Corruption-robustness benchmarks target detection or bird's-eye-view perception, not the planning output that drives the car. We present DriveDegrade, a benchmark for image-degradation tolerance in camera-only E2E driving. Sixteen corruption families at five severities are injected on the fly inside the image loader, one operator reaching fifteen policies, and
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-29T02:34:47.000Z
First collected: 2026-09-21T07:51:58.603Z. This is not the publication date.