Point-cloud skeleton conditions and a Reset-and-Roll inference scheme enable stable frame-wise autoregressive driving video generation for closed-loop autonomous driving simulation.
Pointpainting: Sequential fusion for 3d object detection
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2representative citing papers
XET-V2X fuses multi-view camera and LiDAR features from ego and cooperative agents with two deformable cross-attention layers and MOTR-style end-to-end tracking, reporting strong mAP/AMOTA gains on V2X-Seq-SPD and V2X-Sim benchmarks.
citing papers explorer
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Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation
Point-cloud skeleton conditions and a Reset-and-Roll inference scheme enable stable frame-wise autoregressive driving video generation for closed-loop autonomous driving simulation.
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End-to-End 3-D Spatiotemporal Perception with Multimodal Fusion and V2X Collaboration
XET-V2X fuses multi-view camera and LiDAR features from ego and cooperative agents with two deformable cross-attention layers and MOTR-style end-to-end tracking, reporting strong mAP/AMOTA gains on V2X-Seq-SPD and V2X-Sim benchmarks.