期刊论文详细信息
IEEE Access
Line-Based Stereo SLAM by Junction Matching and Vanishing Point Alignment
Jiayi Ma1  Xinya Wang1  Xiaoguang Mei1  Yijia He2  Ji Zhao3 
[1] Electronic Information School, Wuhan University, Wuhan, China;Institute of Automation, Chinese Academy of Sciences, Beijing, China;ReadSense Ltd., Shanghai, China;
关键词: Simultaneous localization and mapping (SLAM);    line detection;    vanishing point;    visual odometry;    loop closure;   
DOI  :  10.1109/ACCESS.2019.2960282
来源: DOAJ
【 摘 要 】

In this paper, we propose a stereo simultaneous localization and mapping (SLAM) method based on line segments. For the front-end module of SLAM, we designed a novel method based on the coplanar junction detection, description, and matching. Then the junctions along with their multi-scale rotated BRIEF descriptors are used in other SLAM modules, including line tracking, mapping, and loop closure. The line extraction and matching thread runs at 20 ~ 40Hz for stereo image sequences on a laptop, making it a practical front-end for line-based SLAM system. For the back-end module, a cost function is designed to minimize both of the reprojection error of line segments and alignment error of the vanishing points. The experimental results demonstrate that the proposed method exhibits more accurate localization and reconstruction than state-of-the-art line-based SLAM systems in line-rich environments.

【 授权许可】

Unknown   

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