7 accepted papers
Localizing a camera in a given map is essential for vision-based navigation. In contrast to common methods for visual localization that use maps acquired with cameras, we propose a novel approach, which tracks the pose of monocular camera with respect to a given 3D LiDAR map. We employ a visual odom…
Reliable detection and avoidance of obstacles is a crucial prerequisite for autonomously navigating robots as both guarantee safety and mobility. To ensure safe mobility, the obstacle detection needs to run online, thereby taking limited resources of autonomous systems into account. At the same time…
Accurate localization in indoor environments is widely regarded as a key opener for various location-based services. Despite tremendous advancements in the development of innovative sensor concepts, the most effective and accurate solutions to this problem make use of a map computed from sensory dat…
Networks of laser range finders are a popular tool for monitoring large cluttered areas and to track people. Whenever multiple scanners are used for this purpose, one major problem is how to determine the relative positions of all the scanners. In this paper, we present a novel approach to calibrate…
To determine the pose of a vehicle is a fundamental problem in mobile robotics. Most approaches relate the current sensor observations to a map generated with previously acquired data of the same system or by another system with a similar sensor setup. Unfortunately, previously acquired data is not…
Laser range scanners are commonly used in mobile robotics to enable a robot to sense the spatial configuration of its environment. In addition to the range measurements, most scanners provide remission values, representing the intensity of the returned light pulse. These values add a visual componen…
The ability to safely navigate is a crucial prerequisite for truly autonomous systems. A robot has to distinguish obstacles from traversable ground. Failing on this task can cause great damage or restrict the robots movement unnecessarily. Due to the security relevance of this problem, great effort…