This paper presents a novel method for online and incremental appearance-based localization and mapping in a highly dynamic environment. Using position-invariant robust features (...
Detecting mud hazards is a significant challenge to unmanned ground vehicle (UGV) autonomous offroad navigation. A military UGV stuck in a mud body during a mission may need to be...
We present a demonstrated and commercially viable self-tracker, using robust software that fuses data from inertial and vision sensors. Compared to infrastructurebased trackers, s...
: This paper presents an image-based visual servoing strategy for the autonomous navigation of a mobile holonomic robot from a current toward a desired pose, specified only through...
The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground usin...
Bastian Steder, Giorgio Grisetti, Cyrill Stachniss...