Abstract:
Since digital maps of high spatial and temporal resolution and precision are widely regarded as key enabler for advanced driver assistance systems and automated driving, ...Show MoreMetadata
Abstract:
Since digital maps of high spatial and temporal resolution and precision are widely regarded as key enabler for advanced driver assistance systems and automated driving, the research field of automated map generation from crowd-sourced fleet data has gained importance in recent years. This paper proposes a novel optimization method for improving the results of known road-network construction algorithms in a post-processing step. The method is proven to be feasible by an evaluation of the results on real-world datasets. Furthermore, the applicability to traditional GPS data is explored.
Date of Conference: 02-04 December 2015
Date Added to IEEE Xplore: 14 January 2016
ISBN Information: