Illustration of dynamic real-time obstacle avoidance.

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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Dettagli Bibliografici
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
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study proposes
simulated annealing
path redundancy
path distance
mission omissions
means algorithm
local optimization
intelligent scheduling
improved k
comparative evaluations
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Riassunto:<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 presence of dynamic obstacles.</p>

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