Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera

This paper proposes a novel monocular vision-based SLAM (Simultaneous Localization and Mapping) algorithm for mobile robot. In this proposed method, the tracking and mapping procedures are split into two separate tasks and performed in parallel threads. In the tracking thread, a ground feature-based...

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Main Authors: Songmin Jia, Ke Wang, Xiuzhi Li
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2016/7630340
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author Songmin Jia
Ke Wang
Xiuzhi Li
author_facet Songmin Jia
Ke Wang
Xiuzhi Li
author_sort Songmin Jia
collection DOAJ
description This paper proposes a novel monocular vision-based SLAM (Simultaneous Localization and Mapping) algorithm for mobile robot. In this proposed method, the tracking and mapping procedures are split into two separate tasks and performed in parallel threads. In the tracking thread, a ground feature-based pose estimation method is employed to initialize the algorithm for the constraint moving of the mobile robot. And an initial map is built by triangulating the matched features for further tracking procedure. In the mapping thread, an epipolar searching procedure is utilized for finding the matching features. A homography-based outlier rejection method is adopted for rejecting the mismatched features. The indoor experimental results demonstrate that the proposed algorithm has a great performance on map building and verify the feasibility and effectiveness of the proposed algorithm.
format Article
id doaj-art-d1a40610b2cb44b0b481274a5d2b1be1
institution Kabale University
issn 1687-9600
1687-9619
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Journal of Robotics
spelling doaj-art-d1a40610b2cb44b0b481274a5d2b1be12025-02-03T07:25:46ZengWileyJournal of Robotics1687-96001687-96192016-01-01201610.1155/2016/76303407630340Mobile Robot Simultaneous Localization and Mapping Based on a Monocular CameraSongmin Jia0Ke Wang1Xiuzhi Li2College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaCollege of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaThis paper proposes a novel monocular vision-based SLAM (Simultaneous Localization and Mapping) algorithm for mobile robot. In this proposed method, the tracking and mapping procedures are split into two separate tasks and performed in parallel threads. In the tracking thread, a ground feature-based pose estimation method is employed to initialize the algorithm for the constraint moving of the mobile robot. And an initial map is built by triangulating the matched features for further tracking procedure. In the mapping thread, an epipolar searching procedure is utilized for finding the matching features. A homography-based outlier rejection method is adopted for rejecting the mismatched features. The indoor experimental results demonstrate that the proposed algorithm has a great performance on map building and verify the feasibility and effectiveness of the proposed algorithm.http://dx.doi.org/10.1155/2016/7630340
spellingShingle Songmin Jia
Ke Wang
Xiuzhi Li
Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera
Journal of Robotics
title Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera
title_full Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera
title_fullStr Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera
title_full_unstemmed Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera
title_short Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera
title_sort mobile robot simultaneous localization and mapping based on a monocular camera
url http://dx.doi.org/10.1155/2016/7630340
work_keys_str_mv AT songminjia mobilerobotsimultaneouslocalizationandmappingbasedonamonocularcamera
AT kewang mobilerobotsimultaneouslocalizationandmappingbasedonamonocularcamera
AT xiuzhili mobilerobotsimultaneouslocalizationandmappingbasedonamonocularcamera