articleIEEE Transactions on RoboticsJun 12, 2017GREEN OA

ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

RMRaul Mur-ArtalJDJuan D. Tardos

Universidad de Zaragoza

Indexed inarxivcrossref

Abstract

We present ORB-SLAM2, a complete simultaneous localization and mapping (SLAM) system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and relocalization capabilities. The system works in real time on standard central processing units in a wide variety of environments from small hand-held indoors sequences, to drones flying in industrial environments and cars driving around a city. Our back-end, based on bundle adjustment with monocular and stereo observations, allows for accurate trajectory estimation with metric scale. Our system includes a lightweight localization mode that leverages visual odometry tracks for unmapped regions and matches with map points that allow for zero-drift…

Citation impact

5,958
total citations
FWCI
4867.91
Percentile
100%
References
21
Citations per year

Authors

2
  • RM
    Raul Mur-ArtalCorresponding
  • JD
    Juan D. Tardos

    Universidad de Zaragoza

Topics & keywords

Keywords
  • Simultaneous localization and mapping
  • Trajectory
  • Visual odometry
  • Monocular
  • Odometry
  • Bundle adjustment
  • Stereopsis
  • Metric (unit)
No related works found for this paper.