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UAV Obstacle Avoidance Algorithm Based on Ellipsoid Geometry

机译:基于椭球几何的UAV障碍避免算法

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摘要

An avoidance algorithm is proposed in this paper which works by generating avoiding waypoints, within the original predefined waypoints, when the vehicle finds obstacles obstructing its flightpath. The approach developed here bases the search for avoidance path on the utilization of ellipsoid geometry as a restricted zone containing the obstacle. The restricted ellipsoid zone is established by considering the identified obstacle geometry information, and further the ellipsoid becomes the basis for computing the new waypoints for avoiding the obstacle. These avoiding waypoints determined by computing the contact points between the ellipsoid and planes the normal vector of which are corresponded to the vehicle velocity vector. The information about geometry and dimension of the ellipsoid are computed from the information about obstacle geometry, which is assumed to be available, either from mission database or predicted from UAV's ground detection system. In the development process, the algorithm is constructed in MATLAB environment and then simulated and analyzed in some scenarioed cases representing possible situations when an UAV has to avoid obstacles during its flight. This algorithm is intended to be integrated into the guidance system of UAV.
机译:本文提出了一种避免算法,其通过在原始预定义航点内产生避免的航点时,当车辆发现阻碍其飞行路径时的障碍物。此处开发的方法基于利用椭圆形几何形状的避免路径作为包含障碍的限制区域。通过考虑所识别的障碍物几何信息来建立限制的椭球区域,并且进一步的椭圆体成为计算用于避免障碍的新航点的基础。这些避免通过计算椭圆体之间的接触点和平面正常向量来确定的航点,其与车辆速度矢量相对应。有关椭圆体的几何和尺寸的信息是从关于障碍物几何的信息计算的,这被假定从任务数据库可用或从UAV的地面检测系统预测。在开发过程中,该算法在MATLAB环境中构建,然后在一些情景情况下模拟和分析,代表无人机在飞行期间避免障碍时可能的情况。该算法旨在集成到UAV的引导系统中。

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