UAV Path Planning Method Considering Safety and Signal Shielding Risk

In order to meet the needs for the safe operation of unmanned aerial vehicles (UAV)s in cities, this paper proposes a multi-objective path planning method based on a particle swarm optimization algorithm. Firstly, a complex urban environment model is constructed by using the grid method. Then, taking the total length of the UAV path and the minimum flight risk as objectives, the multi-objective path optimization problem is established under the condition of taking into account the obstacle avoidance requirements and performance constraints of the UAV. Finally, the optimization problem is solved by a multi-objective particle swarm optimization algorithm and the path curve is smoothed by cubic B-spline. The simulation results show that the multi-objective path planning method proposed in this paper is more reasonable than the method that only considers the lowest security risk or the shortest path.

@article{Chen2024,
  title     = {UAV Path Planning Method Considering Safety and Signal Shielding Risk},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {6},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Xiaoyong Chen and Jiajun Fang and Yanjie Zhai},
  doi       = {10.14569/IJACSA.2024.01506100},
  url       = {https://doi.org/10.14569/IJACSA.2024.01506100}
}