A Global Path Planning Algorithm Based on Bidirectional SVGA
For path planning algorithms based on visibility graph, constructing a visibility graph is very time-consuming. To reduce the computing time of visibility graph construction, this paper proposes a novel global path planning algorithm, bidirectional SVGA (simultaneous visibility graph construction an...
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Online Access: | http://dx.doi.org/10.1155/2017/8796531 |
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doaj-858f58010e4b4c2f9e080bbd9655fdae2020-11-24T20:43:04ZengHindawi LimitedJournal of Robotics1687-96001687-96192017-01-01201710.1155/2017/87965318796531A Global Path Planning Algorithm Based on Bidirectional SVGATaizhi Lv0Chunxia Zhao1Jiancheng Bao2School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Information Technology, Jiangsu Maritime Institute, Nanjing 211170, ChinaFor path planning algorithms based on visibility graph, constructing a visibility graph is very time-consuming. To reduce the computing time of visibility graph construction, this paper proposes a novel global path planning algorithm, bidirectional SVGA (simultaneous visibility graph construction and path optimization by A⁎). This algorithm does not construct a visibility graph before the path optimization. However it constructs a visibility graph and searches for an optimal path at the same time. At each step, a node with the lowest estimation cost is selected to be expanded. According to the status of this node, different through lines are drawn. If this line is free-collision, it is added to the visibility graph. If not, some vertices of obstacles which are passed through by this line are added to the OPEN list for expansion. In the SVGA process, only a few visible edges which are in relation to the optimal path are drawn and the most visible edges are ignored. For taking advantage of multicore processors, this algorithm performs SVGA in parallel from both directions. By SVGA and parallel performance, this algorithm reduces the computing time and space. Simulation experiment results in different environments show that the proposed algorithm improves the time and space efficiency of path planning.http://dx.doi.org/10.1155/2017/8796531 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Taizhi Lv Chunxia Zhao Jiancheng Bao |
spellingShingle |
Taizhi Lv Chunxia Zhao Jiancheng Bao A Global Path Planning Algorithm Based on Bidirectional SVGA Journal of Robotics |
author_facet |
Taizhi Lv Chunxia Zhao Jiancheng Bao |
author_sort |
Taizhi Lv |
title |
A Global Path Planning Algorithm Based on Bidirectional SVGA |
title_short |
A Global Path Planning Algorithm Based on Bidirectional SVGA |
title_full |
A Global Path Planning Algorithm Based on Bidirectional SVGA |
title_fullStr |
A Global Path Planning Algorithm Based on Bidirectional SVGA |
title_full_unstemmed |
A Global Path Planning Algorithm Based on Bidirectional SVGA |
title_sort |
global path planning algorithm based on bidirectional svga |
publisher |
Hindawi Limited |
series |
Journal of Robotics |
issn |
1687-9600 1687-9619 |
publishDate |
2017-01-01 |
description |
For path planning algorithms based on visibility graph, constructing a visibility graph is very time-consuming. To reduce the computing time of visibility graph construction, this paper proposes a novel global path planning algorithm, bidirectional SVGA (simultaneous visibility graph construction and path optimization by A⁎). This algorithm does not construct a visibility graph before the path optimization. However it constructs a visibility graph and searches for an optimal path at the same time. At each step, a node with the lowest estimation cost is selected to be expanded. According to the status of this node, different through lines are drawn. If this line is free-collision, it is added to the visibility graph. If not, some vertices of obstacles which are passed through by this line are added to the OPEN list for expansion. In the SVGA process, only a few visible edges which are in relation to the optimal path are drawn and the most visible edges are ignored. For taking advantage of multicore processors, this algorithm performs SVGA in parallel from both directions. By SVGA and parallel performance, this algorithm reduces the computing time and space. Simulation experiment results in different environments show that the proposed algorithm improves the time and space efficiency of path planning. |
url |
http://dx.doi.org/10.1155/2017/8796531 |
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