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

Understand

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, presents a more economically viable and rapidly deployable alternative.
• However, this emerging field has been held back by a critical lack of high-quality public datasets and benchmarks.
• To bridge this gap, we present \textit{Griffin}, a comprehensive AGC 3D perception dataset, featuring over 250 dynamic scenes (37k+ frames).