SOURCE-LINKED INTELLIGENCE
Future-Aware Flow Planning for Safe UAV Target Following
UAV target following in cluttered environments is inherently predictive: current-state followers can lag behind turns, choose blocked corridors, or trade tracking for unsafe near-horizon motion. We propose a future-aware flow planning framework for state-informed UAV target following. Predicted target futures guide clean UAV trajectory generation as horizon-aligned residual signals, while risk-scored executable-prefix repair is embedded inside the sampling loop. On fixed ID/OOD receding-horizon benchmarks, the planner improves the intended safety--tracking trade-off rather than dominating ever
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T13:40:09.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.