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Visually estimating a robot's own motion has been an active field of research within the last years. Though impressive results have been reported, some application areas still exhibit huge challenges. Especially for car-like robots in urban environments even the most robust estimation techniques fail due to a vast portion of independently moving objects. Hence, we move one step further and propose...
Availability of detailed, high accuracy digital maps is crucial for many driver assistance applications. In this paper, a novel approach for automated map generation from aerial images is presented. Automatically generated maps present an alternative for applications that are not critical for vehicle safety such as accurate map based localization for route guidance. Aerial images as a source for automated...
Autonomous driving in unstructured environments has attracted an unprecedented level of attention when the DARPA announced the Grand Challenge Competitions in 2004 and 2005. Autonomous driving involves (at least) three major subtasks: perception of the environment, path planning and subsequent vehicle control. Whereas the latter has proven a solved problem, the first two constituted, apart from hardware...
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