AI RESEARCH
4DRC-OCC: Robust Semantic Occupancy Prediction Through Fusion of 4D Radar and Camera
arXiv CS.CV
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ArXi:2603.07794v1 Announce Type: new Autonomous driving requires robust perception across diverse environmental conditions, yet 3D semantic occupancy prediction remains challenging under adverse weather and lighting. In this work, we present the first study combining 4D radar and camera data for 3D semantic occupancy prediction. Our fusion leverages the complementary strengths of both modalities: 4D radar provides reliable range, velocity, and angle measurements in challenging conditions, while cameras contribute rich semantic and texture information.