3 accepted papers
Easy, yet robust long-term localization is still an open topic in research. Existing approaches require either dense maps, expensive sensors, specialized map features or proprietary detectors.We propose using semantic segmentation on a monocular camera to localize directly in a HD map as used for au…
Highly accurate localization with very limited amount of memory and computational power is one of the big challenges for next generation series cars. We propose localization based on geometric primitives which are compact in representation and further valuable for other tasks like planning and behav…
The future of automated driving in urban areas will most probably rely on highly accurate road maps. However, the necessary precision of a localization in such maps has so far only been reached using extra, sensor specific feature layers for localization. In this paper we want to show that it is pos…