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UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models
Qiyao Zhang, Shuhua Zheng, Jianli Sun +6
Embodied visual tracking is crucial for Unmanned Aerial Vehicles (UAVs) executing complex real-world tasks. In dynamic urban scenarios with complex semantic requirements, Vision-La…
OpenCOOD-Air: Prompting Heterogeneous Ground-Air Collaborative Perception with Spatial Conversion and Offset Prediction
Xianke Wu, Songlin Bai, Chengxiang Li +5
While Vehicle-to-Vehicle (V2V) collaboration extends sensing ranges through multi-agent data sharing, its reliability remains severely constrained by ground-level occlusions and th…
CogRail: Benchmarking VLMs in Cognitive Intrusion Perception for Intelligent Railway Transportation Systems
Yonglin Tian, Qiyao Zhang, Wei Xu +9
Accurate and early perception of potential intrusion targets is essential for ensuring the safety of railway transportation systems. However, most existing systems focus narrowly o…
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models
Zhengxing Lan, Hongbo Li, Lingshan Liu +4
Predicting the future trajectories of dynamic traffic actors is a cornerstone task in autonomous driving. Though existing notable efforts have resulted in impressive performance im…