Official project website for the ICRA 2025 paper "Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection"
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Updated
Nov 20, 2025 - Python
Official project website for the ICRA 2025 paper "Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection"
BEVFusionx - Enhanced BEVFusion: Camera ✓ LiDAR ✓ RADAR ✓ PyTorch 1-2 ✓ CUDA 11-13 ✓
Hybrid Attention and Convolutional Induction Fusion for LiDAR-Camera BEV perception.
Tri-modal BEV fusion for autonomous driving — 6 cameras + LiDAR + 5 radars, Qwen2-0.5B (INT4+LoRA) + GRU decoder, evaluated on Bench2Drive.
Multi-sensor fusion for autonomous vehicles: camera + LiDAR BEVFusion on nuScenes
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