A Path Planning for Unmanned Helicopter in Urban Environment

For the safety and reliability requirements of unmanned helicopter path planning in urban environments, this paper conducts research on path planning for unmanned helicopters in three-dimensional urban environments. First, a DEM raster method is used to model the three-dimensional urban environment. Secondly, the heuristic function of the ant colony algorithm is designed according to the constraints of path planning in urban environments. To address the issues of low path search efficiency and poor quality of the paths planned by traditional ant colony algorithms, improvements are made. The improved ant colony algorithm is then used for path planning in the three-dimensional urban environment. Finally, simulations are conducted to verify the feasibility of the modeling and path planning algorithm.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/aicit62434.2024.10730474
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

A Path Planning for Unmanned Helicopter in Urban Environment

Yuxin Tian, Shouzhao Sheng, Y. A. Lei, Pengfei Zhai
Robotic Path Planning Algorithms
article

A Path Planning for Unmanned Helicopter in Urban Environment

Yuxin Tian, Shouzhao Sheng, Y. A. Lei, Pengfei Zhai
article en

Abstract

For the safety and reliability requirements of unmanned helicopter path planning in urban environments, this paper conducts research on path planning for unmanned helicopters in three-dimensional urban environments. First, a DEM raster method is used to model the three-dimensional urban environment. Secondly, the heuristic function of the ant colony algorithm is designed according to the constraints of path planning in urban environments. To address the issues of low path search efficiency and poor quality of the paths planned by traditional ant colony algorithms, improvements are made. The improved ant colony algorithm is then used for path planning in the three-dimensional urban environment. Finally, simulations are conducted to verify the feasibility of the modeling and path planning algorithm.

Nanjing University of Aeronautics and Astronautics (CN)
Aeronautical Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 81%
Robotic Path Planning Algorithms
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A Path Planning for Unmanned Helicopter in Urban Environment — Yuxin Tian, Shouzhao Sheng, et al. · (2024) | TGRS Research Map | TGRS