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 The original implementation can be found [here](https://github.com/raulmur/ORB_SLAM2.git).
 
 # ORB-SLAM2 ROS node
-This is the ROS implementation of the ORB-SLAM2 real-time SLAM library for **Monocular**, **Stereo** and **RGB-D** cameras that computes the camera trajectory and a sparse 3D reconstruction (in the stereo and RGB-D case with true scale). It is able to detect loops and relocalize the camera in real time. This implementation removes the Pangolin dependency, and the original viewer. All data I/O is handled via ROS topics. For vizualization you can use RViz. This repository is maintained by [Lennart Haller](http://lennarthaller.de) on behalf of [appliedAI](http://appliedai.de).
+This is the ROS implementation of the ORB-SLAM2 real-time SLAM library for **Monocular**, **Stereo** and **RGB-D** cameras that computes the camera trajectory and a sparse 3D reconstruction (in the stereo and RGB-D case with true scale). It is able to detect loops and relocalize the camera in real time. This implementation removes the Pangolin dependency, and the original viewer. All data I/O is handled via ROS topics. For visualization you can use RViz. This repository is maintained by [Lennart Haller](http://lennarthaller.de) on behalf of [appliedAI](http://appliedai.de).
 ## Features
 - Full ROS compatibility
 - Supports a lot of cameras out of the box, such as the Intel RealSense family. See the run section for a list