Lantao Li — accepted AI-conference papers

2026

EIMC: Efficient Instance-Aware Multi-Modal Collaborative Perception

Kang Yang, Peng Wang, Lantao Li, Tianci Bu, Chen Sun, Deying Li +1

ICRA 2026poster

Multi-modal collaborative perception calls for great attention to enhancing the safety of autonomous driving. However, current multi-modal approaches remain a ``local fusion to communication” sequence, which fuses multi-modal data locally and needs high bandwidth to transmit an individual's feature …

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2025

Is Discretization Fusion All You Need for Collaborative Perception?

Kang Yang, Tianci Bu, Lantao Li, Chunxu Li, Yongcai Wang, Deying Li

ICRA 2025

Collaborative perception in multi-agent system enhances overall perceptual capabilities by facilitating the exchange of complementary information among agents. Current mainstream collaborative perception methods rely on discretized feature maps to conduct fusion, which however, lacks flexibility in

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