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Real-time path planning is one of emergent approaches which efficiently reduce traffic jam in urban scenarios. Designing an efficient path planning strategy to achieve optimal vehicle-traffic flow control still remains a challenging problem, especially when we take human's uncooperative and uncoordinated selfish behaviors into consideration. In this paper, we first introduce an intelligent transportation...
This paper presents a Quadtree algorithm which is one of the several possible methods that can be used to store an unknown amount of terrain data. The Quadtree algorithm is often used for visualizing large terrain. The Triangulated Irregular Network (TIN) method has been developed recently but it is difficult to make geographical operations such as neighbor finding, searching, and updating. The purpose...
There are a lot of cases with vehicle parking methods. But, when we try to analyze the successful parking patterns, we will be known that all processing is accomplished within specific parking pattern. We collect and analyze various parking patterns, so suggest the parking planning algorithm that do mission safe and effectively, when Unmanned Ground Vehicle (UGV) starts parking mission.
A motion planning algorithm for a nonholonomic vehicle in triangular regions is investigated. The regions are the result of splitting a larger and complex workspace, and are classified into three classes, that are, empty regions, obstacle-inside regions, and goal regions. The vehicle has to achieve a goal configuration from any initial configuration in the workspace. A set of procedures to generate...
Nowadays, the research of the unmanned vehicle robots is increased, especially in the military fields. Some of these robots use path tracking algorithm, so the path generation method is needed. Now we suggest that the path generation method could be used into augmented reality using the B-spline curve equation. Therefore we can make the robot can track the virtual path in real time by obtaining the...
Precise control of Automatic Guided Vehicles (AGVs) navigating between the aisles of manufacturing systems by the use of local markers is an important task. On the basis of the geometric model of the workspace and the vehicles and that of the sensor uncertainties precise trajectories were recently generated along which the vehicle safely can move. In order to achieve precise trajectory tracking the...
Path planning for multi-vehicle multi-target pursuit (MVMTP) is studied in this paper. With respect to equal number of vehicles and obstacles, a global cost function (GCF) is proposed and an optimal one-vehicle-one-target-pair appointment is specified based on the GCF. The artificial potential (AP)-guided evolutionary algorithm (EA) is used by each appointed pair to search the path that allows the...
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