HUNT: High-Speed UAV Navigation and Tracking in Unstructured Environments via Instantaneous Relative Frames
arXiv:2509.19452v4 Announce Type: replace-cross Abstract: Search and rescue operations require unmanned aerial vehicles to both traverse unknown unstructured environments at high speed and track targets once detected. Achieving both capabilities under degraded sensing and without global localization remains an open challenge. Recent works on relative navigation have shown robust tracking by anchoring planning and control to a visible detected object, but cannot address navigation when no target is in the field of view. We present HUNT (High-speed UAV Navigation and Tracking), a real-time frame
Advances in AI, particularly in computer vision and real-time processing, coupled with more robust drone hardware, are enabling enhanced autonomous navigation capabilities.
This development significantly enhances the operational effectiveness of UAVs in complex environments, critical for defence, emergency services, and logistics.
UAVs can now navigate and track targets more reliably in chaotic or unknown areas without reliance on global positioning, improving their utility in scenarios like search and rescue or reconnaissance.
- · Defense contractors
- · Emergency services
- · Logistics companies
- · Autonomous systems developers
- · Systems heavily reliant on traditional GPS
- · Manual UAV operators in hazardous zones
Increased deployment of autonomous UAVs in difficult and hazardous conditions.
Reduced human risk exposure in dangerous operations, leading to faster response times in emergencies.
New economic models for surveillance, delivery, and infrastructure inspection could emerge, heavily reliant on highly autonomous and agile aerial platforms.
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Read at arXiv cs.LG