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一种避障场景下的快速航迹恢复算法

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针对现有大部分避障场景中无人机避障算法未考虑无人机航迹恢复、少数航迹恢复算法恢复效果不佳的缺点,提出了一种避障场景下的无人机快速航迹恢复算法.综合考虑环境约束与无人机机动性能约束,通过旋转坐标系、判断无人机转弯方向、利用二分法对无人机整个避障及航迹恢复过程中的多个关键航迹点坐标进行计算,最终规划出一条安全高效的无人机避障及航迹恢复航迹.对比实验结果表明,快速航迹恢复算法规划出的避障及航迹恢复航迹更短,可以在距离障碍物更近的航迹点开始避障,避障及航迹恢复用时更短,航迹偏离度更小,整体航迹更优,对于绝大多数侦察场景中无人机需尽量保持沿离线航迹巡航的情况更加有利.
Fast Path Recovery Algorithm for Obstacle Avoidance Scenarios
A fast path recovery algorithm for unmanned aerial vehicles(UAVs)in obstacle avoidance scenarios is proposed to ad-dress the shortcomings of most existing obstacle avoidance algorithms that lack consideration for UAV path recovery,and a few path recovery algorithms have poor recovery effects.Taking into account environmental constraints and UAV maneuverability constraints,a safe and efficient UAV obstacle avoidance and path recovery path is planned by rotating the coordinate system,de-termining the turning direction of the UAV,and calculating the coordinates of multiple key path points throughout the entire ob-stacle avoidance and path recovery process using the binary method.The comparative experimental results show that the fast path recovery algorithm can plan shorter obstacle avoidance and path recovery paths,and the obstacle avoidance can start at the track points closer to the obstacle.The obstacle avoidance and path recovery time is shorter,the path deviation is smaller,and the over-all path is better.This is more advantageous for most reconnaissance scenarios where UAVs need to cruise along off-line paths as much as possible.

Unmanned aerial vehiclePath planningObstacle avoidancePath recoveryRotating coordinate

马英红、李续楠、董旭、焦毅、蔡伟、郭有光

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西安电子科技大学通信工程学院 西安 710071

中国电子系统工程公司 北京 100000

西安邮电大学通信与信息工程学院 西安 710121

中国航天空气动力技术研究院 北京 100074

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无人机 航迹规划 避障 航迹恢复 旋转坐标系

国防基础科研计划重点项目(十四五)

JCKY2020203XXXX

2024

计算机科学
重庆西南信息有限公司(原科技部西南信息中心)

计算机科学

CSTPCD北大核心
影响因子:0.944
ISSN:1002-137X
年,卷(期):2024.51(6)
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