Georg R. Mueller

  • Citations Per Year
Learn More
This contribution describes a system for accurate, robust and fast six degrees-of-freedom object pose estimation based on multi-feature models and a recursive filtering approach in the context of autonomous vehicle recharging. Feature measurements are integrated sequentially to allow full control over the feature detection algorithms and the influence on(More)
Obstacle avoidance is a key feature for automotive navigation that requires an accurate representation of the environment. In the field of visual perception this task has often been addressed with stereo algorithms that try to obtain a depth map of the environment via disparity calculations on a single pair of images. These algorithms do not exploit that(More)
Accurate stereo camera calibration is crucial for 3D reconstruction from stereo images. In this paper, we propose an algorithm for continuous online recalibration of all extrinsic parameters of a stereo camera, which is rigidly mounted on an autonomous vehicle. The algorithm estimates the six degrees-of-freedom (6-DoF) of the transformation from the vehicle(More)
This paper briefly describes the hardand software system of Team MuCAR’s entry for the euRathlon 2013 robotic trial, participating at the autonomous navigation scenario. We show how the system uses high-level mission planning in combination with a local trajectory planner that incorporates data from a multi layer terrain map for goal-oriented navigation and(More)
  • 1