基于立体视觉的无人系统避碰

Sungick Kong, Sang-Seol Lee, Sung-Joon Jang
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引用次数: 0

摘要

在无人驾驶系统中,智能导航技术是非常重要的。为此,我们介绍了一种使用立体相机的导航算法,该算法包括避免碰撞。为了准确避开障碍物,我们提出了目标检测、可导航空间搜索和高效避碰实时算法。在这篇文章中,我们的重点是无人驾驶飞行器(UAV)系统。无人机基本上沿着全局路径向用户输入的目标点飞行。如果不可能,则无人机通过执行所提出的局部路径规划算法返回。生成的局部路径基于新的航路点,利用计算出的航路点与航路点之间的飞行方向和距离信息,安全地飞向最终目标点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stereo vision-based Collision Avoidance for Unmanned Systems
In the unmanned systems, the intelligent navigating technologies are very important. For this purpose, we introduce a navigation algorithm that includes collision avoidance using a stereo camera. To accurately avoid the obstacles, we propose the object detection, the navigable space searching and the efficient collision avoidance real-time algorithms. In this article, we focus on an unmanned aerial vehicle (UAV) system. The UAV basically flies along the global path towards the goal point entered by the user. If it is not possible, UAV return by performing the proposed local path planning algorithm. The generated local path is based on the new waypoint, and it safely flies to the final goal point using the calculated flight direction and distance information between waypoint and waypoint.
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