The path search using Steepest Descent Approach, the cross country path planning about fuzzy environment for an autonomous land vehicle is implemented.
最后用最速下降法进行路径搜索，实现了自主车在模糊环境下的越野路径规划。
参考来源 - 自主车在模糊环境下的路径规划研究 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
最后用最速下降法进行路径搜索，实现了自主车在模糊环境下的越野路径规划。
The path search using Steepest Descent Approach, the cross country path planning about fuzzy environment for an autonomous land vehicle is implemented.
在自主车的运动路径规划中，局部路径规划特别重要，而且是自主车的一项关键技术。
Local trajectory planning is very important for an autonomous vehicle(ALV) in the moving planning of autonomous vehicles, and it is a key technology for an ALV.
为了实现自主车跟踪固定路径的精确控制，建立了自主车路径偏差控制系统的数学模型。
A mathematic model has been established in the article for the control system about the path deviation of ALV (Autonomous Land Vehicles) in order to control its tracking navigation route accurately.
应用推荐