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IUAV Path Planning Using a Multiobjective Projection Algorithm
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AI
DOI：10.1109/TII.2024.3431080.png)
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Abstract
En 中文
For intelligent unmanned aerial vehicles working in complex environments, it is necessary to have a certain autonomous flight control decision-making ability to adapt to complex and changeable environments. In order to realize the rapid path planning of intelligent unmanned aerial vehicle in complex flight environment and ensure its accurate positioning, we consider the constraints of error correction and turning radius and so on, and establish a multiobjective optimization model with the shortest path and the least correction times. In addition, a novel projection algorithm is proposed to solve this model. The evaluation of our proposed method is done from a dataset. We clearly show its effectiveness and its superiority compared to several state-of-the art approaches.
Keywords:
Path planning
Error correction
Projection algorithms
Task analysis
Informatics
Complexity theory
Turning
Intelligent unmanned aerial vehicle (IUAV)
multiobjective
path planning
projection algorithm
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