5 papers
CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception
Weize Li, Yang Li, Quan Yuan +3
Collaborative perception enhances environment understanding through multi-agent information sharing, but its performance in real-world scenarios is constrained by heterogeneous sen…
One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
Yang Li, Weize Li, Quan Yuan +7
By sharing intermediate features, collaborative perception extends each agent's sensing beyond standalone limits, but real-world feature modality heterogeneity remains a key barrie…
Beyond BEV: Optimizing Point-Level Tokens for Collaborative Perception
Yang Li, Quan Yuan, Guiyang Luo +6
Collaborative perception allows agents to enhance their perceptual capabilities by exchanging intermediate features. Existing methods typically organize these intermediate features…
One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception
Yuchen Xia, Quan Yuan, Guiyang Luo +6
Collaborative perception in autonomous driving significantly enhances the perception capabilities of individual agents. Immutable heterogeneity, where agents have different and fix…
CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model
Yang Li, Quan Yuan, Guiyang Luo +5
By sharing complementary perceptual information, multi-agent collaborative perception fosters a deeper understanding of the environment. Recent studies on collaborative perception…