搜索资源列表
TripAssignment
- 交通分配算法，包括最短路径，Floyd算法等，交通分配中的常用算法，可以在交通规划软件中使用-failed to translate
jxjh
- 教学计划规划程序，C语言编写，通过事先规定要选修的课程以及各个课程之间存在的先修关系，通过关键路径寻找学生的开课课表。-Teaching program planning process, C language, through the elective courses to be provided in advance and various pre-existing relationship between curriculum, through the critical path look
three-dimensional-path-planning
- 基于蚁群算法的三维路径规划。在三维地图上寻找最优路径！-Ant colony algorithm based three-dimensional path planning. To find the optimal path on the three-dimensional map!
kelong
- 遗传免疫算法的最短路径求取，用matlab语言实现，可对机器人的路径进行规划。-The shortest path to strike a genetic immune algorithm, using matlab language, can robot path planning.
Dynamic-Programming
- 该代码描述如何使用动态规划算法，动态规划算法产生一个优化路径，储存最合适的移动方向。-The code describes how to use dynamic programming algorithm, dynamic programming algorithm to generate an optimal path to store the most appropriate direction of movement.
DemonstrationPlatform
- 利用A star和人工势场法做的无人机路径规划。在VC下实现，可设置威胁区域和动态威胁。-A star and the use of artificial potential field do UAV path planning. In the VC, can be set to threaten regional and dynamic threats.
RRT-for-FFSR
- 采用随机搜索树算法（RRT）进行自由漂浮空间机器人避障路径规划的算例.-Obstacle avoidance path planning using Rapidly-exploring Random Trees(RRT) algorithm for free-floating space robot.
C++AGV 路径规划与运行仿真程序
- 在AGV实现过程中，核心就在于AGV路径的规划和AGV自身的调度控制，该程序实现了AGV路径规划与运行仿真(AGV route planing and motion simulation)
RRT-maze
- rrt*算法的实现，可以实现路径的规划与修剪(The implementation of rrt* algorithm can realize path planning and pruning)
基于遗传算法与粗糙集理论的移动机器人路径规划研究
- 基于遗传算法与粗糙集理论的移动机器人路径规划研究的matlab实现，我已经进行了一些优化
dubins
- dubins路径规划与相应的比例导引，模型采用过载控制(Dubins path and proportional navigation)
nsga2
- 基于蚁群算法的无人机航路规划，在三维航路中进行航路代价估计，规划出最优路径( U57FA u4E8 u8R1 u8R1 u8121 u8121 u8221 u7229 u8E0 U4EE3 u4EF7 u4F30 u8BA1 uFF0C u89C4 u5212 u51FA u6700 u4F18 u8DEF u5F84)
路径规划
- 利用mpc实现路径规划，无人驾驶汽车，代码可直接运行(Path planning of driverless vehicle based on MPC model predictive control)
第5章
- 实现无人驾驶车辆基于车辆动力学模型的轨迹跟踪及路径规划(Track tracking and path planning of driverless vehicle based on vehicle dynamics model)