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Research questionHow can collaborative perception keep heterogeneous modalities semantically consistent in a shared protocol space?Collaborative perception relies on translating modality-specific features into a common protocol space. Independently trained converters can produce incompatible pseudo-protocol distributions, causing semantic inconsistency and accumulating errors across agents.
AI
Computer Vision
Machine Learning
Multi-agent Systems
Multimodal Models
Latest papersRecent research connected to this question, newest first.CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative PerceptionThe source concerns protocol-based, two-stage heterogeneous collaborative perception and evaluates the proposed approach on the OPV2V and DAIR-V2X datasets, with larger reported gains under substantial modality gaps.research paper · Sep 3, 2026
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