Late fusion of asynchronous vehicle predictions improves trajectory success rate (TSR_0.5) by 1.22-1.69% on real-world V2V4Real data compared to single-vehicle forecasting.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
CooperScene provides 59K synchronized frames with 344K 3D annotations from multi-modal sensors on 3 CAVs and 1 RSU plus real C-V2X communication traces for cooperative autonomy benchmarking.
citing papers explorer
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Collaborative Trajectory Prediction via Late Fusion
Late fusion of asynchronous vehicle predictions improves trajectory success rate (TSR_0.5) by 1.22-1.69% on real-world V2V4Real data compared to single-vehicle forecasting.
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CooperScene: Multi-Modal Cooperative Autonomy Benchmark with C-V2X Communication Characterization
CooperScene provides 59K synchronized frames with 344K 3D annotations from multi-modal sensors on 3 CAVs and 1 RSU plus real C-V2X communication traces for cooperative autonomy benchmarking.