๐ง๐๐ข-๐ ๐ฆ๐: ๐ ๐๐๐ฟ๐ป-๐ฑ๐ฒ๐๐ถ๐ฎ๐๐ถ๐ผ๐ป ๐ผ๐ฝ๐๐ถ๐บ๐ถ๐๐ฒ๐ฑ ๐บ๐๐น๐๐ถ-๐๐๐ฎ๐ด๐ฒ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ ๐ณ๐ผ๐ฟ ๐๐บ๐ผ๐ผ๐๐ต ๐๐ต๐ฟ๐ฒ๐ฒ-๐ฑ๐ถ๐บ๐ฒ๐ป๐๐ถ๐ผ๐ป๐ฎ๐น ๐จ๐๐ฉ ๐๐ฟ๐ฎ๐ท๐ฒ๐ฐ๐๐ผ๐ฟ๐ถ๐ฒ๐
A recent study published in African Scientific Reports introduces the Turn-Deviation Optimized Multi-Stage Framework (TDO-MSF) for smoother and more dynamically feasible three-dimensional UAV path planning. The framework combines turn-deviation-optimized bidirectional A* search, multi-scale inflection correction, adaptive-radius smoothing, trajectory-guided enhanced artificial potential fields, and UAV dynamic-feasibility verification. Across six benchmark environments, TDO-MSF reduced the number of turns by about 29.25% compared with the baseline MSF-MTPO method and also shortened path distance. In one benchmark, it generated a 27.90 m path with only two turns and a smoothness index of 0.847. The findings show that jointly optimizing path length, turning behaviour, obstacle avoidance, smoothness, and flight constraints can improve practical autonomous UAV navigation.
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