障碍物环境下多无人机协同侦察路径规划(IEEE/CSAA GNCC)*

Zhu Qian, Xu Nuo, Huang Bei, Li Qiang, Zhou Rui
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引用次数: 0

摘要

研究了复杂多边形障碍物环境下多无人机协同侦察路径规划问题。首先,建立了传感器感知、有效侦察持续时间等不同的侦察任务模型;其次,考虑不同的任务约束和需求,建立了基于Dubins曲线的两步多无人机协同侦察路径规划框架;此外,设计了一种满足无人机运动约束的多边形障碍物下的启发式无障碍路径规划方法。仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi UAVs Cooperative Reconnaissance Path Planning in Obstacles Environment (IEEE/CSAA GNCC)*
Multiple UAVs cooperative reconnaissance path planning in complex polygonal obstacles environment is presented in this paper. Firstly, different reconnaissance mission models are formulated, such as sensor sensing, effective reconnaissance duration time and so on. Secondly, considering different mission constraints and requirements, a two-step multiple UAVs cooperative reconnaissance path planning framework based on Dubins curve is established. Besides, a heuristic obstacle-free path planning in the presence of polygonal obstacles is designed, which is satisfied with UAV kinematic constraint. The simulation result demonstrates the effectiveness of the proposed algorithm.
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