Kavli Affiliate: Wei Gao| Summary:Collaborative perception breaks through single-view limitations via multi-agent information exchange. However, multi-source noise such as pose errors and communication delays degrades fusion feature quality, constraining perception performance. Joint training of detection and BEV segmentation provides a natural remedy, where segmented road regions help constrain target distributions and detection bounding boxes help […]
Continue.. CoDS: Robust Collaborative Perception via Expert-driven Detection and BEV Segmentation