Abstract:
Being regarded as essential for advanced driver assistance systems and autonomous driving, the research field of map generation from crowd-sourced vehicle information gai...Show MoreMetadata
Abstract:
Being regarded as essential for advanced driver assistance systems and autonomous driving, the research field of map generation from crowd-sourced vehicle information gained attention in the last decade. This paper introduces a novel approach for the derivation of street accurate road networks from such data. The method is applied to a real-world dataset of different accuracy level and is evaluated against a ground truth map. Furthermore, the results are compared to results of two state of the art algorithms.
Published in: 2016 IEEE Intelligent Vehicles Symposium (IV)
Date of Conference: 19-22 June 2016
Date Added to IEEE Xplore: 08 August 2016
ISBN Information: