首页> 外文会议>International Conference on Informatics in Control, Automation and Robotics >3D PATH PLANNING FOR UNMANNED AERIAL VEHICLES USING VISIBILITY LINE BASED METHOD
【24h】

3D PATH PLANNING FOR UNMANNED AERIAL VEHICLES USING VISIBILITY LINE BASED METHOD

机译:基于可见线方法的无人机飞行器的3D路径规划

获取原文

摘要

In path planning, visibility graph (or visibility line (VL)) method is capable of producing shortest path from a starting point to a target point in an environment with polygonal obstacles. However, the run time increases exponentially as the number of obstacles grows, causing this method ineffective for real-time path planning. A 2D path planning framework based on VL has recently been introduced to find a 2D path in an obstacle-rich environment with low run time. In this paper we propose 3D path planning algorithms based on the 2D framework. Several steps are used in the algorithms to find a 3D path. First, a local plane is generated from a local starting point to a target point. The plane is then rotated at several pre-defined angles. At each rotation, a shortest path is calculated using 2D algorithms. After rotations at all angles have been done, the shortest one is selected. Simulation results show that the proposed 3D algorithms are capable in finding paths in 3D environments and computationally efficient, thus suitable for real time application.
机译:在路径规划中,可见性图表(或可见性线(VL))方法能够从具有多边形障碍物的环境中的目标点产生最短路径。然而,随着障碍物的次数增长,运行时间呈指数级增大,导致该方法对实时路径规划无效。最近介绍了基于VL的2D路径规划框架,以找到具有低运行时间的富有障碍环境中的2D路径。在本文中,我们提出了基于2D框架的3D路径规划算法。算法中使用了几个步骤以找到3D路径。首先,从局部起点到目标点生成局部平面。然后将平面以几个预定角度旋转。在每个旋转时,使用2D算法计算最短路径。在完成所有角度的旋转之后,选择最短的一个。仿真结果表明,所提出的3D算法能够在三维环境中查找路径和计算上高效,因此适用于实时应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号