10 citations · 20 across the 25 of their papers we have counts for
6 papers · 1 filter
CoVLM-Bench: A Real-World Benchmark for Cooperative Driving Question Answering and Planning
Kang Yang, Shuai Liu, Hang Li +3
Vision-language models (VLMs) have made substantial progress in autonomous driving, but their success has primarily been studied in ego-centric scenes. Infrastructure-side observat…
UECP: Uncertainty-Enhanced Collaborative Perception
Kang Yang, Tianci Bu, Peng Wang +3
Collaborative perception serves as a pivotal solution to enhance the perception capability of individual agents in autonomous driving, where a core challenge lies in seeking reliab…
CCKS: Consensus-based Communication and Knowledge Sharing
Jinyuan Zu, Xiaowei Lv, Yongcai Wang +5
In Decentralized Training and Decentralized Execution (DTDE) for cooperative Multi-Agent Reinforcement Learning (MARL), action-advising-based knowledge sharing promotes interpretab…
BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception
Kang Yang, Tianci Bu, Peng Wang +2
Most existing heterogeneous cooperative perception methods depend on prior preparation like offline joint training or tailored collaborator-model adaptation. Such preprocessing is,…
EIMC: Efficient Instance-aware Multi-modal Collaborative Perception
Kang Yang, Peng Wang, Lantao Li +4
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 com…
MapDream: Task-Driven Map Learning for Vision-Language Navigation
Guoxin Lian, Shuo Wang, Yucheng Wang +7
Vision-Language Navigation (VLN) requires agents to follow natural language instructions in partially observed 3D environments, motivating map representations that aggregate spatia…