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About this paper
Jiahao Wang, Xiangyu Cao, Jiaru Zhong, Yuner Zhang, Zeyu Han, Haibao Yu, Chuang Zhang, Lei He and 2 more
Griffin is a simulated dataset and benchmark for aerial-ground cooperation, supporting cooperative 3D detection and tracking. It combines CARLA–AirSim scenes with visibility-aware labels and evaluates changes in altitude, communication, and localization. On Griffin-25m, CoopTrack’s car-class AP and AMOTA are 0.479 and 0.488, versus 0.375 and 0.365 for No Fusion; most methods fall below No Fusion on Griffin-Random.
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