AI RESEARCH
ReinDriveGen: Reinforcement Post-Training for Out-of-Distribution Driving Scene Generation
arXiv CS.CV
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ArXi:2604.01129v1 Announce Type: new We present ReinDriveGen, a framework that enables full controllability over dynamic driving scenes, allowing users to freely edit actor trajectories to simulate safety-critical corner cases such as front-vehicle collisions, drifting cars, vehicles spinning out of control, pedestrians jaywalking, and cyclists cutting across lanes. Our approach constructs a dynamic 3D point cloud scene from multi-frame LiDAR data,