Passive Initialization Method Based on Motion Characteristics for Monocular SLAM

Visual SLAM techniques have proven to be effective methods for estimating robust position and attitude in the field of robotics. However, current monocular SLAM algorithms cannot guarantee timeliness of system startup due to the problematic initialization time and the low success rates. This paper i...

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Main Authors: Yu Yang, Jing Xiong, Xiaoyu She, Chang Liu, ChengWei Yang, Jie Li
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/8176489
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author Yu Yang
Jing Xiong
Xiaoyu She
Chang Liu
ChengWei Yang
Jie Li
author_facet Yu Yang
Jing Xiong
Xiaoyu She
Chang Liu
ChengWei Yang
Jie Li
author_sort Yu Yang
collection DOAJ
description Visual SLAM techniques have proven to be effective methods for estimating robust position and attitude in the field of robotics. However, current monocular SLAM algorithms cannot guarantee timeliness of system startup due to the problematic initialization time and the low success rates. This paper introduces a rectilinear platform motion hypothesis and thereby converts the estimation problem into a verification problem to achieve fast monocular SLAM initialization. The proposed method is simulation tested on a fixed-wing UAV. Tests show that the proposed method can produce faster initialization of visual SLAM and that the advantages are more profound on systems with sparse image features.
format Article
id doaj-art-983c4079d63c4d43811e37b438fa64c3
institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-983c4079d63c4d43811e37b438fa64c32025-02-03T01:26:13ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/81764898176489Passive Initialization Method Based on Motion Characteristics for Monocular SLAMYu Yang0Jing Xiong1Xiaoyu She2Chang Liu3ChengWei Yang4Jie Li5School of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing, ChinaSchool of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing, ChinaVisual SLAM techniques have proven to be effective methods for estimating robust position and attitude in the field of robotics. However, current monocular SLAM algorithms cannot guarantee timeliness of system startup due to the problematic initialization time and the low success rates. This paper introduces a rectilinear platform motion hypothesis and thereby converts the estimation problem into a verification problem to achieve fast monocular SLAM initialization. The proposed method is simulation tested on a fixed-wing UAV. Tests show that the proposed method can produce faster initialization of visual SLAM and that the advantages are more profound on systems with sparse image features.http://dx.doi.org/10.1155/2019/8176489
spellingShingle Yu Yang
Jing Xiong
Xiaoyu She
Chang Liu
ChengWei Yang
Jie Li
Passive Initialization Method Based on Motion Characteristics for Monocular SLAM
Complexity
title Passive Initialization Method Based on Motion Characteristics for Monocular SLAM
title_full Passive Initialization Method Based on Motion Characteristics for Monocular SLAM
title_fullStr Passive Initialization Method Based on Motion Characteristics for Monocular SLAM
title_full_unstemmed Passive Initialization Method Based on Motion Characteristics for Monocular SLAM
title_short Passive Initialization Method Based on Motion Characteristics for Monocular SLAM
title_sort passive initialization method based on motion characteristics for monocular slam
url http://dx.doi.org/10.1155/2019/8176489
work_keys_str_mv AT yuyang passiveinitializationmethodbasedonmotioncharacteristicsformonocularslam
AT jingxiong passiveinitializationmethodbasedonmotioncharacteristicsformonocularslam
AT xiaoyushe passiveinitializationmethodbasedonmotioncharacteristicsformonocularslam
AT changliu passiveinitializationmethodbasedonmotioncharacteristicsformonocularslam
AT chengweiyang passiveinitializationmethodbasedonmotioncharacteristicsformonocularslam
AT jieli passiveinitializationmethodbasedonmotioncharacteristicsformonocularslam