Xiangyu Cao — accepted AI-conference papers

2026

Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark

Jiahao Wang, Xiangyu Cao, Jiaru Zhong, Yuner Zhang, Zeyu Han, Haibao Yu +4

AAAI 2026technical

While cooperative perception can overcome the limitations of single-vehicle systems, the practical implementation of vehicle-to-vehicle and vehicle-to-infrastructure systems is often impeded by significant economic barriers. Aerial-ground cooperation (AGC), which pairs ground vehicles with drones, p

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2026

Walking World Model for Visually Impaired Path Following

Haokun Ju, Lixuan Zhang, Xiangyu Cao, Meina Kan, Shiguang Shan, Xilin Chen

RA-L 2026

Guiding visually impaired individuals (VI) walking along planned paths is essential for enabling independent long-distance mobility. Current reactive approaches only correct deviations after they occur. These methods ignore VI's walking dynamics (e.g., reaction latency and heading drift), resulting

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