SOURCE-LINKED INTELLIGENCE
MatchFusion: Explicit-Implicit Instance Matching for Spatio-Temporal Multimodal Autonomous Driving
Sparse instance representations provide a compact interface for spatial LiDAR-camera and temporal past-current interaction in multimodal perception and E2EAD. Effective interaction requires reliable instance correspondences despite geometric discrepancies and heterogeneous semantic representations. Attention-based methods exploit contextual semantics but often require specialized representation alignment, increasing computational overhead. In contrast, association based on structured object states is efficient and interpretable but lacks contextual evidence to resolve ambiguous matches. To com
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T08:24:12.000Z
First collected: 2026-09-23T04:21:13.910Z. This is not the publication date.