The shortest path algorithm is an important content in research of intelligent vehicle path planning.
最短路径算法是智能车辆路径规划问题的核心内容。
The algorithm is suitable for centralized vehicle path planning and table look up method may obtain the paths.
提出的算法尤其适用于集中式车辆路径规划。
The path search using Steepest Descent Approach, the cross country path planning about fuzzy environment for an autonomous land vehicle is implemented.
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。
To solve the problem of path planning of LAUV (Long-distance Autonomous Underwater Vehicle), a path planning algorithm based on digital charts is presented.
为了解决远程自主水下机器人(LAUV)路径规划问题，提出一种基于数字海图的路径规划算法。
Path planning is designed to make use of terrain and enemy and other information to plan out the largest survival probability penetration trajectory of Unmanned Aerial Vehicle (UAV).
航迹规划的目的是要利用地形和敌情等信息，规划出生存概率最大的无人飞行器突防轨迹。
Global path planning problem for autonomous underwater vehicle (AUV) based on large-scale chart data is investigated by using ant colony optimization (in shorts, ACO) algorithm.
在大范围海洋环境中，应用蚁群算法对自主式水下潜器(AUV)的全局路径规划问题进行了研究。
Setting-up local planning arithmetic for deep sea mining vehicle who walk in scheduled path based on fuzzy decision, and it will decide to across or get around barriers based on barriers' height.
基于模糊决策理论建立了海底集矿车在预定路径上行走过程的避障规划算法，并根据海底障碍物的高度和大小对海底集矿车进行绕障和越障决策。
This paper presents the design and implementation of cross-country path planning for an autonomous land vehicle based on a heuristic search method.
本文介绍了一种使用启发式估值函数进行二次搜索的路径规划方法，设计和实现了自主车的越野路径规划。
The key problems of vehicle navigation dynamic path planning are traffic network model, path planning algorithm and traffic flow prediction.
交通网络模型、路径规划算法以及交通流预测是车辆导航动态路径规划需要解决的重点问题。
Path planning is an important link of underwater vehicle carrying out autonomous voyage, which marks the working level and ensures the safety of AUV.
路径规划是水下机器人实现自主航行的重要环节。
It was proposed to use cellular ant algorithm in path planning of Unmanned Aerial Vehicle (UAV).
针对无人机航路规划问题，研究了一种基于元胞蚂蚁算法的无人机航路规划方法。
It was proposed to use cellular ant algorithm in path planning of Unmanned Aerial Vehicle (UAV).
针对无人机航路规划问题，研究了一种基于元胞蚂蚁算法的无人机航路规划方法。
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