Visual-Inertial Odometry of Smartphone under Manhattan World

Remote Sensing

YuAn Wang¹  Liang Chen¹  XiangChen Lu¹  Peng Wei² 

[1] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;The Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, Shenzhen 518055, China;

关键词: visual–inertial odometry;    structural feature;    Manhattan world;    indoor positioning;   

DOI  :  10.3390/rs12223818

来源: DOAJ

【 摘 要 】

Based on the hypothesis of the Manhattan world, we propose a tightly-coupled monocular visual-inertial odometry (VIO) system that combines structural features with point features and can run on a mobile phone in real-time. The back-end optimization is based on the sliding window method to improve computing efficiency. As the Manhattan world is abundant in the man-made environment, this regular world can use structural features to encode the orthogonality and parallelism concealed in the building to eliminate the accumulated rotation error. We define a structural feature as an orthogonal basis composed of three orthogonal vanishing points in the Manhattan world. Meanwhile, to extract structural features in real-time on the mobile phone, we propose a fast structural feature extraction method based on the known vertical dominant direction. Our experiments on the public datasets and self-collected dataset show that our system is superior to most existing open-source systems, especially in the situations where the images are texture-less, dark, and blurry.

【 授权许可】

Unknown