AI RESEARCH
JigsawComm: Joint Semantic Feature Encoding and Transmission for Communication-Efficient Cooperative Perception
arXiv CS.CV
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ArXi:2511.17843v2 Announce Type: replace Multi-agent cooperative perception (CP) promises to overcome the inherent occlusion and range limitations of single-agent systems in autonomous driving, yet its practicality is severely constrained by limited Vehicle-to-Everything (V2X) communication bandwidth. Existing approaches attempt to improve bandwidth efficiency via compression or heuristic message selection, but neglect the semantic relevance and cross-agent redundancy of the transmitted data.