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Edmundo Guerra

1 accepted papers

2026

AttBEV: Enhancing Multi-Modal 3D Object Detection With CBAM Attention in BEVFusion for Autonomous Driving

RA-L 2026

Multimodal fusion has an important research value in environmental perception for autonomous driving. Among them, BEVFusion has become one of the mainstream framework for LiDAR camera fusion by unifying multimodal features in the bird's-eye view (BEV) space. However, its performance is limited by in

Cited by 0SourceScholar