Agate, A dynamic path planning algorithm for UAV tracking, in: Proceedings of the International Society for Optical Engineering, 2009, SPIE paper 7336:B1-10.H.D. Chen, K.C. Chang, C.S. Agate, A dynamic path planning algorithm for UAV tracking, in: Proceedings of the International Society...
Path planning guides the UAV to find a feasible path, meaning a path that meets safety, kinematic and optimization constrains. In order to intercept a moving target, dynamic path planning must be used due to target movement. To produce a feasible path, many approaches had been used in path ...
A novel UAV path planning approach: Heuristic crossing search and rescue optimization algorithm - ScienceDirect 这篇论文提出了一种新的无人机(UAV)路径规划方法,该方法基于改进的蚁群优化(ACO)算法。作者首先介绍了无人机路径规划的重要性和挑战,然后详细描述了改进的蚁群优化算法。这种方法通过引入启发式信息和...
UAV Motion Planning 0. Quick Installation within 3 Minutes Tested on ubuntu 20.04 LTS with ROS Noetic. InstallROS(Desktop-Full InstallRecommended). Clone the repository. git clone git@github.com:peiyu-cui/uav_motion_planning.git Install dependences. ...
在查询阶段使用经典AI算法, 比如genetic algorithm 和 dynamic programming. 最后, 对这些生成的路径进行平滑处理. 线路图技术被用来处理UAV在静态环境中移动时的路径规划查询. 查询的计算时间在处理时间内实时完成. 最终路径的平滑是通过路线图算法完成的, 比如 RRT, A*, RRT*. 比如, [41]提出在动态TSP背景下,...
2002. Coordinated Path Planning for a UAVCluster.Ains Symposium, Los Angeles, California.De Mot, J., Kulkarni, V., Gentry, S., Gavrilets, V., Feron, E.: Coordinated path planning for a UAV cluster. AINS Symposium. Los Angeles, California (2002)...
From the experimental reports, it is known that the performance of MMPA is better than that of the comparison algorithm, both in the benchmark functions and in UAV path planning. When it comes to path planning, the routes generated by MMPA are smoother and safer than those generated by the...
To effectively handle UAV path planning problems, an algorithm must have an ability to make good use of the infeasible individuals with better objective values. M2M-DW [23] is adopted to serve this purpose. However, the manner of utilizing infeasible solutions is arbitrary, a local infeasibility...
The traditional A* algorithm suffers from issues such as sharp turning points in the path, weak directional guidance during the search, and a large number of computed nodes. To address these problems, a modified approach called the Directional Search A*
Global and local path planning of robots combining ACO and dynamic window algorithm Article Open access 19 March 2025 Route planning of mobile robot based on improved RRT star and TEB algorithm Article Open access 18 April 2024 Simulation-based review of classical, heuristic, and metaheuristic...