| Full name | ORB-SLAM2 |
| Description | ORB-SLAM is a versatile and accurate SLAM solution for Monocular, Stereo and RGB-D cameras. It is able to compute in real-time the camera trajectory and a sparse 3D reconstruction of the scene in a wide variety of environments, ranging from small hand-held sequences of a desk to a car driven around several city blocks. It is able to close large loops and perform global relocalisation in real-time and from wide baselines. It includes an automatic and robust initialization from planar and non-planar scenes. |
| Parameters | Default settings. |
| Publication title | ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras |
| Publication authors | Raúl Mur-Artal, Juan D. Tardós |
| Publication venue | IEEE Transactions on Robotics 2017 |
| Publication URL | https://128.84.21.199/pdf/1610.06475.pdf |
| Programming language(s) | C++ |
| Hardware | Intel Core i7-6700K |
| Website | http://webdiis.unizar.es/~raulmur/orbslam/ |
| Source code or download URL | https://github.com/raulmur/ORB_SLAM2 |
| Submission creation date | 17 Jun, 2019 |
| Last edited | 17 Jun, 2019 |
