搜索资源列表
planeDoc
- 无人机路径规划。在给定的三维空间中搜索一条安全可行的无人机飞行路径-Path Planning. In a given three-dimensional space to search for a safe and feasible UAV flight path
UAV-Autonomouse-landing
- 一种基于LP路径规划的无人机在运动平台自主着陆仿真方法-Based the LP path planning of UAV autonomous landing of simulation methods in motion platform
TSiP_win.tar
- 复杂环境下的无人机路径规划，用rrt算法和A*算法实现。用qt开发环境。-UAV path planning in complex environments, with rrt algorithm and A* algorithm. With qt development environment.
TSiP_win
- 复杂环境下无人机的路径规划，用rrt和a*算法实现，在qt开发环境下编译。-Complex environment UAV path planning with rrt and a* algorithm, compiled under qt development environment.
Astar_rengongshichang
- 师兄实验使用Astar与人工势场法做的无人机路径规划的论文，绝对值得借鉴-Brothers experiment with the use of artificial potential field method Astar do UAV path planning papers, definitely worth learning
A-Bat-Algorithm
- 一种变异算子的蝙蝠算法来求解无人机路径规划问题。希望共同学习-A Bat Algorithm withMutation for UCAV Path Planning
wurenjiguiji
- 基于蚁群算法的无人机航迹规划,航迹规划是无人机的关键智能技术，在地理环境信息已知的条件下，如何综合考虑威胁和油耗，给出一条最优的自动航行路径，是无人机航迹规划要解决的问题。-Unmanned aerial vehicle (uav) flight path planning based on ant colony algorithm, path planning is the key to the uav intelligence te
dynamic-path-planning
- (不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级
蚁群算法
- 模拟无人机空中规划寻迹，从起点出发，在经过途中必须经过的点后，回至起点，同时要避开障碍物(Simulated UAV aerial planning traces, from the starting point, after the way must go through the points, back to the starting point, while avoiding obstacles)
11基于遗传算法的机器人路径规划MATLAB源代码
- 基于遗传算法的机器人路径规划MATLAB源代码(Genetic algorithm based robot path planning MATLAB source code)
多无人协同任务分配程序平台
- 多无人机航迹规划平台 功能强大 有控制平台 以及路径的动态规划(Multi UAV flight path planning platform has powerful function, control platform and dynamic path planning)
势场法-改进
- 通过这一算法可以实现二维平面内无人机的路径规划。在该平面内存在已知的障碍，势场法通过给终点添加引力，对障碍增加斥力，使得无人机能够顺利的避障并到达终点。通过对传统势场法的改进，避免了无人机容易陷入极值的问题，使搜索更易实现。(Through this algorithm, the path planning of the UAV in the two-dimensional plane can be realized. There ar
ConsoleApplication3
- 无人机飞行器的路径规划，使用了最小二分法，可以应用于无人机(Path planning of UAV aircraft)
无人机ant-algorithim
- 内容其实就是蚁群算法的路径规划,是三维的，比较粗糙，可以借鉴(The wrong name is actually robot path planning.)
path-master
- 实现了基于遗传算法的航路规划,单无人机路径规划(path planning genetic alg)
程序
- 无人机路径规划，提出改进的A*算法，参考2019年研究生数学建模竞赛F题(UAV path planning, propose improved a * algorithm, refer to the f problem of 2019 graduate mathematical modeling competition)
基于蚁群算法的三维路径规划算法
- 这是基于蚁群算法的无人机航迹规划实例程序，里面包含所有源代码，平台为matlab。(This is an example program of UAV path planning based on ant colony algorithm, which contains all the source code and the platform is matlab.)
CCD-区域
- 侦察无人机复杂环境下搭载CCD相机侦察路径规划，进行了环境建模，对设计的规划方法进行了仿真验证。(In the complex environment of reconnaissance UAV, the path planning of reconnaissance with CCD camera is carried out, the environment modeling is carried out, and the plan
UAV-Path-Planning
- 运用多种算法实现无人机的路径规划，并能给出路径好坏的图例分析(Using various algorithms to realize the path planning of UAV, and can give the legend analysis of the quality of the path)
SAR-区域
- 侦察无人机搭载SAR设备对区域进行覆盖搜索侦察的路径规划。(The UAV carries SAR equipment to plan the path of coverage search reconnaissance.)