Monocular Vision-Based Localization Using ORB-SLAM with LIDAR-Aided Mapping in Real-World Robot Challenge

被引:27
|
作者
Sujiwo, Adi [1 ]
Ando, Tomohito [1 ]
Takeuchi, Eijiro [2 ]
Ninomiya, Yoshiki [3 ]
Edahiro, Masato [1 ]
机构
[1] Nagoya Univ, Grad Sch Informat Sci, Dept Informat Engn, Chikusa Ku, 609 Natl Innovat Complex NIC,Furo Cho, Nagoya, Aichi 4648601, Japan
[2] Nagoya Univ, Grad Sch Informat Sci, Dept Media Sci, Chikusa Ku, 609 Natl Innovat Complex NIC,Furo Cho, Nagoya, Aichi 4648601, Japan
[3] Nagoya Univ, Inst Innovat Future Soc, Intelligent Vehicle Res Div, Chikusa Ku, 609 Natl Innovat Complex NIC,Furo Cho, Nagoya, Aichi 4648601, Japan
关键词
visual localization; autonomous vehicle; field robotics; Tsukuba Challenge;
D O I
10.20965/jrm.2016.p0479
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
For the 2015 Tsukuba Challenge, we realized an implementation of vision-based localization based on ORB-SLAM. Our method combined mapping based on ORB-SLAM and Velodyne LIDAR SLAM, and utilized these maps in a localization process using only a monocular camera. We also apply sensor fusion method of odometer and ORB-SLAM from all maps. The combined method delivered better accuracy than the original ORB-SLAM, which suffered from scale ambiguities and map distance distortion. This paper reports on our experience when using ORB-SLAM for visual localization, and describes the difficulties encountered.
引用
收藏
页码:479 / 490
页数:12
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