AI RESEARCH
DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking
arXiv CS.CV
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ArXi:2605.17451v1 Announce Type: new Aerial object tracking has broad applications in public safety, emergency rescue, wildlife monitoring, and related fields. However, existing aerial tracking benchmarks are mainly based on passive 2D video sequences captured from fixed camera locations or predefined flight paths, where drones are treated as passive cameras rather than embodied agents that actively perceive, interact, and control their motion in dynamic 3D scenes.