6 papers
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…
NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
Congzhang Shao, Quan Yuan, Guiyang Luo +6
Collaborative perception improves task performance by expanding the perception range through information sharing among agents. . Immutable heterogeneity poses a significant challen…
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…
Toward Low-Altitude Airspace Management and UAV Operations: Requirements, Architecture and Enabling Technologies
Guiyang Luo, Jinglin Li, Qixun Zhang +6
The low-altitude economy (LAE) is rapidly advancing toward intelligence, connectivity, and coordination, bringing new challenges in dynamic airspace management, unmanned aerial veh…
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…