Intelligent transport infrastructure for secure, networked driving in the megacity
Project Duration: 01.Jul.2016 to 30.Jun.2019
While the research on highly automated driving on motorways is already relatively advanced, the subject of automated driving in complex environmental situations is still in the early stages of development. The current accident of a Tesla vehicle made this clear.
The research project InVerSiV therefore focuses on the special challenges of assisted, partially automated and highly automated driving in the complex environment of Megacities. The approach is to network sensors in vehicles with those in the infrastructure. In conjunction with further information from local / global control centers (for example: overview plans, Google Maps), a much broader picture of the environment and the driving situation can emerge.
The aim of the project is, on the one hand, to make the complexity of a megacity controllable for automated driving. On the other hand, however, dangers for road users who are not equipped with their own sensor systems (motor vehicles, pedestrians and cyclists) should also be identified and prevented early. For this, methods for safety assessment and verification are taken into account and further developed for the innovative scenario "Automated Driving in Megacity".
Within the scope of the InVerSiV project a comprehensive validation of the developed technologies takes place. For this purpose test fields are set up in real environments. These test fields also provide information about the transferability of the findings and the economic usability. The resulting test fields with the focus on urban scenarios with mixed traffic should also be made accessible to third parties, so that a lasting effect for the location development can be expected.
The European Regional Fund Development (ERDF) will finance this project
You will find more information on the project partners and their associated partners at: www.inversiv.de