SemanticKITTI-C

🤖 Robo3D - The SemanticKITTI-C Benchmark

SemanticKITTI-C is an evaluation benchmark heading toward robust and reliable 3D semantic segmentation in autonomous driving. With it, we probe the robustness of 3D 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.

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