AI RESEARCH
An End-to-end Flight Control Network for High-speed UAV Obstacle Avoidance based on Event-Depth Fusion
arXiv CS.AI
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ArXi:2603.27181v1 Announce Type: cross Achieving safe, high-speed autonomous flight in complex environments with static, dynamic, or mixed obstacles remains challenging, as a single perception modality is incomplete. Depth cameras are effective for static objects but suffer from motion blur at high speeds. Conversely, event cameras excel at capturing rapid motion but struggle to perceive static scenes.