Schahn, ChristopherChristopherSchahnKouril, JorinJorinKourilSchäufele, BerndBerndSchäufeleRadusch, IljaIljaRadusch2024-07-302024-07-302024https://publica.fraunhofer.de/handle/publica/47227510.1109/ICOIN59985.2024.10572033In recent years, automated driving has become viable, and advanced driver assistance systems (ADAS) are now part of modern cars. These systems require highly precise positioning. In this paper, a cooperative approach to localization is presented. The GPS information from several road users is collected in a Mobile Edge Computing cloud, and the characteristics of GNSS positioning are used to provide lane-precise positioning for all participants by applying probabilistic filters and HD maps.encooperative ITScooperative positioningmobile edge computingAdvanced driver assistance systemsAutomobile driversGlobal positioning systemconference paper