Safe, connected driving on the digitally-enhanced highway
Providentia
Project description
The project Providentia - pro-active video-based use of telecommunications technologies in innovative Autobahn scenarios - within the "Funding Guidelines for Automated and Connected Driving in Digital Test Beds in Germany" by the German Federal Ministry of Transport and Digital Infrastructure (BMVI), will provide drivers - and in the case of highly-automated vehicles, the vehicle itself - with a comprehensive view at the road ahead. This is supposed to work reliably and situation-adapted, as well as under adverse weather conditions, while avoiding information overload.
Under the leadership of fortiss, Bavarian State-Institute and Associated Institute with the Technical University of Munich, the consortium of technological leaders (BMW, Cognition Factory, Elektrobit, Huawei, IPG, Rohde & Schwarz) will carry out developments and tests in the A9 test bed, aiming to gain insight into the interplay of various information streams in highly automated vehicles as well as the communication and backend infrastructure.
Research contribution
We expect technologically pace-setting findings not only for next generation (5G) mobile networks, but also for the creation of highly reliable images of the reality in the infrastructure ("back end") with sensor fusion, for the supply of information to highly automated connected vehicles, for the virtualisation of complex traffic scenarios, and - importantly - for the upcoming standardization of fifth generation mobile networks.
Project duration
1.12.2016 - 31.12.2021
More information
Project partner
Publications
- What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction In Robotics and Automation Letters (RA-L), Paris, France, 2020. IEEE. Details URL BIB
- Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems In Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019. IEEE. Details BIB
- Providentia - A Large Scale Sensing System for the Assistance of Autonomous Vehicles In Robotics Science and Systems Workshops (RSS Workshops), Freiburg, Germany, 2019. RSS Foundation. Details URL BIB
- InCarAR: A Design Space Towards 3D Augmented Reality Applications in Vehicles In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019. ACM. Details DOI BIB
- I Drive - You Trust: Explaining Driving Behavior Of Autonomous Cars In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, pages LBW0163:1–LBW0163:6, 2019. ACM. Details URL DOI BIB
- Benefits and Challenges of Smart Highways for the User In IUI Workshops, 2019. Details BIB
- Deep Reinforcement Learning for Predictive Longitudinal Control of Automated Vehicles In Proceedings of the 21st International Conference on Intelligent Transportation Systems (ITSC), pages 2391-2397, 2018. IEEE. Details URL DOI BIB
- Early Take-Over Preparation in Stereoscopic 3D In Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pages 142–146, 2018. ACM. Details URL DOI BIB
- Highway Sensor System as Enabler for Autonomous Driving In volume CHI 2018 Workshop - Interacting with Autonomous Vehicles: Learning from other Domains(2018), 2018. Details BIB
- Designing a far-reaching view for highway traffic scenarios with 5G-based intelligent infrastructure In 8. Tagung Fahrerassistenzsysteme, Munich, Germany, 2017. TÜV Süd. Details URL BIB