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Automated Urban Parking and Driving
Updrive logo.JPG
General information
Europe EC
From 2016-01-01 to 2019-12-31 Ongoing
Project Coordinator

Automation of individual transport systems is considered an up-and-coming prospect with the potential of greatly mitigating many of the challenges associated with intensified urbanization, while at the same time offering additional benefits for the citizens and drastically increasing overall street safety. However, due to the lack of maturity of involved key technologies and persisting legal limitations, full automation of on-road driving remains a longer-term vision, particularly in urban environments.


The goal and ambition of UP-Drive is to address these technological challenges through the development of an automated valet parking service for city environments, aimed at relieving a car driver from the burden of finding a parking space in city centers. Instead, the fully automated car navigates on its own through urban neighborhood, finds a parking space and returns on-demand.

Creating such a system requires mastering all key technologies essential to automated urban driving beyond the current state-of-the-art: complete round-view perception of the vehicle environment, robust lifelong localization and mapping, sophisticated understanding of complex scenes as well as aggregation and integration of long-term semantic data over a cloud-based infrastructure. With this, on the one hand, we ensure that the research and development carried out in this project will directly be applicable to other urban driving use-cases such as driver assistance and safety systems and on the other hand to the transportation for elderly and citizens with handicaps, last-mile delivery of goods - and ultimately fully automated urban driving in general.


Related Projects


  • Volkswagen AG
  • Eidgenoessische Teschnische Hochschule Zuerich
  • IBM Research GmbH
  • Universitatea Tehnica Cluj-Napoca
  • Ceske Vysoke Uceni Technicke v Praze


Total cost: € 7 604 893,75 / EU Contribution: € 4 671 896,25

Funded under the call: H2020-ICT-2015

Topic: ICT-24-2015 - Robotics