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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Main Authors: Taizhi Lv, Chunxia Zhao, Jiancheng Bao
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2017/8796531
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spelling 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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