目前，车辆智能导航系统开发的一个难点是基于实时交通信息预测的动态路径规划。
At present, dynamic vehicle route planning based on real-time traffic information prediction is a difficult problem in the development of intelligent vehicle navigation system.
其中，交通流预测尤其是短时交通流预测是动态路径规划中决定道路权重的重要因子。
Among them, traffic flow prediction especially short-term traffic flow prediction is an important factor, which decided the road weights in dynamic path planning.
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。
The key problems of vehicle navigation dynamic path planning are traffic network model, path planning algorithm and traffic flow prediction.
针对集矿机工作要求，设计了集矿机路径规划系统，给出了集矿机的全局路径规划和局部动态路径规划。
Secondly, according to the working demands of collector, a path planning system is designed, which can complete the global path planning and the local path planning.
通过构建实时交通信息系统，借助无线通讯方式为车辆提供实时交通信息和动态路径规划服务，实现了在动态路径规划基础上的车辆动态导航。
Real-time traffic information system is built, and real-time traffic information service system is provided. Finally, vehicle dynamic navigation based on dynamic route plan…
为了满足需求的动态实时的足球机器人在比赛中，提出了一种新的算法，提出了基于路径规划的深入研究了粒子群优化算法。
In order to meet the dynamic and real-time demands in the match of soccer robot, a new algorithm for path planning was advanced based on deeply researching the PSO algorithm.
提出了一种新的基于动态信息模型的LPN路径规划算法。
This paper proposes a new LPN path planning method based on dynamic information model.
本文提出了一种解决多机器人路径规划与协调问题的新方法：基于总体势减小的优先级动态调度策略。
The paper presents a new approach, which is called dynamic priority scheduling based on total potential reduction, to solving the multi robot path planning and coordination problem.
物体间距离的计算在布局问题、动态系统模拟、机器人路径规划及干涉检验等领域具有重要意义。
It is important to compute the distance between objects in some fields such as packing problems, dynamic simulation systems, path planning of robots and collision detection.
该方法能在不确定动态环境中有效地实现机器人自主避障的完全遍历路径规划。
The complete coverage path planning with dynamic obstacle avoidance for mobile robots can be efficiently implemented by the proposed method in uncertain dynamic environments.
提出了机器人在动态环境下的路径规划方法。
A method for path planning of robots in dynamic environments has been presented in this paper.
最后给出了动态复杂环境中AGV的路径规划。
The final part proposes the local path planning of AGV under the dynamic unknown environment.
在动态不确定环境下，本文提出了结合时间滚动窗口与人工蜂群算法的移动机器人路径规划方法。
In a dynamic uncertain environment, this paper presented a path planning method combined time rolling window and artificial bee colony algorithm for mobile robot.
后者是将跨接法与动态规划相结合，将整体影象匹配归结为求解最优路径问题。
The last respect is concerned with the combination of the featurebridging mode method with dynamic programming to reduce the problem of globalimage matching into one of finding the optimal path.
在网络不确定情况下，通过对配送网络的构建，提出了基于动态规划思想的最短路径搜索算法。
On uncertain network, through the construction of distribution network, we have proposed Shortest Path Search algorithm Based on the thinking of dynamic programming.
为提高机器人足球比赛中射门成功率，提出了一种基于动态椭圆曲线的射门路径规划算法。
To improve the shooting precision of soccer robot, a shooting path planning algorithm based on dynamic ellipse curve was proposed.
本文借鉴预测控制滚动优化原理，研究了全局环境未知且存在动态障碍物情况下的机器人路径规划问题。
Using the rolling optimization concept adopted in predictive control, robot path planning in global unknown environment with moving obstacles is studied.
研究了未知环境下，特别是动态环境下，移动机器人基于滚动窗口的路径规划避障策略。
Using rolling window theory, the robot path planning algorithm in globally unknown environment, especially with moving obstacles is studied.
针对动态未知环境下的自主虚拟人实时避障问题，提出一种基于混合感知信息的路径规划模型。
Aiming at the problem of real-time obstacle avoidance for autonomous virtual humans in dynamic unknown environment, this paper presents a path planning model based on the mixed perception information.
最后通过动态规划寻找最优路径来获得匹配点和遮挡点的视差，从而得到稠密视差图。
Finally, the disparity of both matched and occluded points are obtained through finding the optimal path using dynamic programming, and the dense disparity map is obtained.
本论文主要研究了单移动机器人和多移动机器人在静态和动态环境下的智能路径规划问题。
In this paper, the path planning of single mobile robot and multi-robots under the static and the dynamic environment is mainly studied.
仿真实验结果表明，混合规划方法能在路网信息不完备条件下实现最短路径动态诱导，有效避开拥堵区域。
The simulated experimental results indicate that the mixed planning can search the shortest path dynamically in road network with incomplete information and evade from congestion efficiently.
通过供应链节点间的柔性度大小不同用动态规划中最短路问题来寻找供应链风险在供应链上传导的关键路径。
Then it employs the shortest path model of dynamic programming to identify the key path of risk transmission along the supply chain on the basis of different inter-nodal flexibility.
提出一种在未知动态环境中进行启发式优化搜索的实时路径规划算法。
The paper proposed an optimal path-planning algorithm for dynamic environment with multiple robots (obstacles).
动态未知环境下的移动机器人路径规划必须基于多传感器信息融合来获得对环境的理解或映射。
Pathe planning of mobile robot must be based on multi-sensor information to attain the comprehending and mapping of environment.
针对原有动态信息模型的不足进行了分析和改进，提出了新的动态信息模型，并结合LPN梯度算法进行路径规划。
Through analyzing the defects of original dynamic information model, the paper modifies and proposes a new dynamic information model and integrates it into LPN-method to make path planning.
通过个体编码方法，将GTSP转化为多段图最短路径问题，采用动态规划算法求解；
GTSP is changed into multi-segment map problem which is solved with dynamic programming algorithm by individual coding.
通过个体编码方法，将GTSP转化为多段图最短路径问题，采用动态规划算法求解；
GTSP is changed into multi-segment map problem which is solved with dynamic programming algorithm by individual coding.
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