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 technology, under the condition
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概率表示，与 MPC 路径规划算法相结合，得到基于 DBN
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 are known obstacles in the plane
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 planning method of design is verif
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.)