Illustration of dynamic real-time obstacle avoidance.

<p>The black dot represents the current UAV position, the red pentagram indicates the target location, the blue area denotes the core of a static obstacle, and the orange area represents the dynamic obstacle zone. The colored arrows show the planned avoidance directions in response to the pres...

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Autore principale:	Meiqing Xu (8502255) (author)
Altri autori:	Chao Deng (329151) (author), Xiangyu Hu (4326106) (author), Yuxin Lu (225932) (author), Wenyan Xue (22676549) (author), Bin Zhu (182882) (author)
Pubblicazione:	2025
Soggetti:	Microbiology Neuroscience Evolutionary Biology Inorganic Chemistry Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified unmanned aerial vehicle faster simulation time encompassing wind speed dynamic obstacle avoidance deep reinforcement learning balance global navigation dimensional constraint model conventional heuristic methods heuristic search constraint optimization xlink "> study proposes simulated annealing path redundancy path distance mission omissions means algorithm local optimization intelligent scheduling improved k comparative evaluations
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Illustration of dynamic real-time obstacle avoidance.

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