🤖 Robo3D - The WOD-C Benchmark

WOD-C is an evaluation benchmark heading toward robust and reliable 3D perception in autonomous driving. With it, we probe the robustness of 3D detectors and segmentors under out-of-distribution (OoD) scenarios against corruptions that occur in the real-world environment. Specifically, we consider natural corruptions happen in the following cases:

  • Adverse weather conditions, such as fog, wet ground, and snow;
  • External disturbances that are caused by motion blur or result in LiDAR beam missing;
  • Internal sensor failure, including crosstalk, possible incomplete echo, and cross-sensor scenarios.

WOD-C is part of the Robo3D benchmark. Visit our homepage to explore more details.

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  • Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

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