Image Antiblurring and Statistic Filter of Feature Space Displacement: Application to Visual Odometry for Outdoor Ground Vehicle
Joint Authors
Xu, Zhigang
Wu, Xia
Min, Haigen
Li, Xiaochi
Sun, Pengpeng
Zhao, Xiangmo
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-29
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Precise, reliable, and low-cost vehicular localization across a continuous spatiotemporal domain is an important problem in the field of outdoor ground vehicles.
This paper proposes a visual odometry algorithm, where an ultrarobust and fast feature-matching scheme is combined with an effective antiblurring frame selection strategy.
Our method follows the procedure of finding feature correspondences from consecutive frames and minimizing their reprojection error.
The blurred image is a great challenge for localization with a sharp turn or fast movement.
So we attempt to mitigate the impact of blur with an image singular value decomposition antiblurring algorithm.
Moreover, a statistic filter of feature space displacement and circle matching are proposed to screen or prune potential matching features, so as to remove the outliers caused by mismatching.
An evaluation of benchmark dataset KITTI and real outdoor data, with blur, low texture, and illumination change, demonstrates that the proposed ego-motion scheme significantly achieved performance with respect to the other state-of-the-art visual odometry approaches to a certain extent.
American Psychological Association (APA)
Zhao, Xiangmo& Min, Haigen& Xu, Zhigang& Wu, Xia& Li, Xiaochi& Sun, Pengpeng. 2018. Image Antiblurring and Statistic Filter of Feature Space Displacement: Application to Visual Odometry for Outdoor Ground Vehicle. Journal of Sensors،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1200973
Modern Language Association (MLA)
Zhao, Xiangmo…[et al.]. Image Antiblurring and Statistic Filter of Feature Space Displacement: Application to Visual Odometry for Outdoor Ground Vehicle. Journal of Sensors No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1200973
American Medical Association (AMA)
Zhao, Xiangmo& Min, Haigen& Xu, Zhigang& Wu, Xia& Li, Xiaochi& Sun, Pengpeng. Image Antiblurring and Statistic Filter of Feature Space Displacement: Application to Visual Odometry for Outdoor Ground Vehicle. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1200973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200973