搜索资源列表
-aircraft-
- 基于Voronoi图和量子遗传算法的飞行器航迹规划方法-Voronoi diagram based on quantum genetic algorithm aircraft and route planning
ant-algorithim
- 无人机航迹规划 蚁群算法 数字地形-UAV path planning algorithm for digital terrain ant
rrtsanwei
- 仿真利用RRT算法实现了三维状态下的航迹规划-The realization of trajectory planning under the three-dimensional state using RRT algorithm
A_star
- 航迹规划MATLAB代码，基于A星算法的规划算法-Path planning MATLAB code, based planning algorithm A Star algorithm
3d_of_A_star
- 基于A星算法的航迹规划MATLAB代码，空间是三维的-A satellite-based path planning algorithm MATLAB code, space is three-dimensional
routePlannng(matlab)
- 一个有关航迹规划和MATLAB的毕业设计-A graduate about route planning based MATLAB
matlab-code
- 给予遗传算法的航迹规划和路径规划算法，含全部源程序，提供大家共同学习-Route planning and path planning algorithm given genetic algorithm, including all source code, provided we learn together
uav-auto-control
- 数学建模论文_无人机自主飞行航迹规划问题，这篇文章还不错，内容比较全面，可以拿来参考-Mathematical modeling of paper _ UAV autonomous flight path planning problem, the article is also good, the content is more comprehensive, can be used to reference
hill
- 用Matlab编写的仿真无人机航迹规划，自主避障时所用的山形仿真-Using Matlab simulation UAV path planning, obstacle avoidance Yamagata emulation used
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
treadmill_baidumap
- 百度地图功能性测试，结合一些其他功能，包括离线地图，定位。航迹规划等-Baidu map functional testing, combined with some additional features, including offline maps, location. Route planning, etc.
hangjiguihua1
- 航迹规划算法，能够有效规划出最优路径，达到最优效果-Route planning algorithm can effectively plan out the best route to achieve optimal results
test4
- 基于蚁群算法的无人机航迹规划matlab算法 本算法只是初步算法， 总体来说是可以运行的，但是因为程序设计过程中没有考虑算法的复杂度，考虑的东西太多，反而增加了算法的复杂度，导致耗时比较多-Algorithm for UAV Trajectory Planning Based on Ant Colony Algorithm
Cooperative-Path-Planning-BBO
- 基于生物地理学优化的多UCAV协同航迹规划-Cooperative Path Planning for Multi-UCAV Based on Biogeography Based Optimization
13_粒子群
- 航迹规划是无人机执行侦察和作战任务中的关键技术，规划算法的性能直接影响着航迹规划的质量。针对航迹规划最优性和实时性问题，提出一种惯性权值" 阶梯式" 调整策略与跳出局部最优解策略相结合的改进粒子群无人机航迹规划算法。(Route planning is the key technology for UAV to perform reconnaissance and combat tasks, and the perf
Astar算法
- 航迹规划的典型算法,是一种实时地三维航迹规划，已经做过了航迹平滑(aStar algorithm for trajectory tracking)
Dubins-Curve-For-MATLAB-master
- dubins 曲线，适用于无人车、无人机航迹规划(Dubins curves, apply to vehicle path planning)
蚁群算法
- 群体智能算法，蚁群算法，有关无人机航迹规划，MATLAB 代码(Swarm intelligence algorithm, ant colony algorithm, related drone path planning, MATLAB code)
3D UAV Path planning
- 基于NSGA2算法的无人机航迹规划算法，可运行(The UAV trajectory planning algorithm based on NSGA2 algorithm can be operated.)
UAV_with_trajectory
- 通过调整无人机速率和飞行轨迹，节省无人机的飞行能耗(path planning for UAV)