In the context of the second milestone of the Snow project, we want to expand and improve our mapping system.
In our research, we focus on mappers optimized for large-scale environments. The next step is to be able to save and later reuse the 3D map while re-locating in it to match the new initial position of the robot. All these improved capabilities will allow us to pursuit longer distances travelled using the lidar-teach-and-repeat mode. We aim for several kilometers automatically navigated in deep snow through paths of the Montmorency research forest.
Video of the lidar teach-and-repeat tests in the campus: