3 accepted papers
The current state of the art in automotive high definition digital (HD) map generation based on dedicated mapping vehicles cannot reliably keep these maps up to date because of the low traversal frequencies. Anonymized data collected from the fleet of vehicles that is already on the road provides a…
In this paper, we present a change detection algorithm that can run in real time as part of a backend-based stream processing pipeline. It can process the floating car data collected by series-production vehicles to detect changes in an automotive high definition digital (HD) map used for automated…
In this paper, we propose a new algorithm that derives lane marking maps from crowdsourced data. We process the data in four steps: (i) We make use of a point landmark map and, if available, an existent lane marking map for trajectory optimization and alignment, (ii) use a custom DBSCAN variant to c…