Optimal Collision Avoidance Strategy for UAVs Against Dynamic Obstacles

Wenjian Ouyang, Xusheng Gan, Yarong Wu, Liang Tong
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Abstract

The ability of autonomous obstacle avoidance in complex dynamic environments has become a key problem to be solved urgently for UAVs. Aiming at the shortcomings of existing obstacle avoidance algorithms that avoid obstacles by adjusting the direction or speed, based on the speed obstacle method, a hybrid obstacle avoidance strategy with simultaneous direction and speed adjustment is proposed. First, according to the principle of the speed obstacle method, it is judged whether there is a flight conflict between the UAV and the dynamic obstacle; then in the scenario of a single dynamic obstacle, the mathematical formula is used to accurately derive the difference between the heading and the speed that the UAV needs to adjust to avoid obstacles. Under the constraints of the objective function, the optimal obstacle avoidance strategy is solved, and then the 3rd B-spline is used to perform the path smoothing operation; the final simulation shows that under the threat of a single dynamic obstacle, the proposed method in this paper The algorithm is effective and efficient.
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无人机对动态障碍物的最优避碰策略
复杂动态环境下的自主避障能力已成为无人机亟待解决的关键问题。针对现有避障算法通过调整方向或速度进行避障的缺点,在速度避障方法的基础上,提出了一种同时调整方向和速度的混合避障策略。首先,根据速度障碍法的原理,判断无人机与动态障碍物之间是否存在飞行冲突;然后在单一动态障碍物情况下,利用数学公式精确推导出无人机避障所需调整的航向与速度之差。在目标函数约束下,求解最优避障策略,然后利用第三条b样条进行路径平滑操作;最后的仿真结果表明,在单个动态障碍物的威胁下,本文提出的方法是有效的、高效的。
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