Automated driving applications and technologies for Intelligent Vehicles
Automated vehicles can contribute towards enhanced traffic safety by assisting drivers and minimising human errors. They are also expected to make traffic flow more efficiently, ensuring optimal driving conditions with minimal speed variations in the traffic flow.
Over the planned 42-month duration of AdaptIVe, the partners will develop and test new automated driving functionalities for cars and trucks. The developed automated driving functions will offer partially automated as well as highly automated driving on motorways, in urban scenarios, and for close-distance maneuvers. In the end seven cars and one truck will demonstrate various combinations of automated functions.
In addition to addressing technology development aspects, the project will also explore legal implications for manufacturers and drivers - in particular regarding product liability and road traffic laws. Another focus of the project will be on achieving ideal cooperative interaction between the driver and the automated system.
In the project ika is involved in subprojects automation in highway and close-distance scenarios. Besides ika is leading the subproject dealing with the Evaluation of automated drving applications. Within this subporject evaluation methodolgies for testing and impact assessment of automated driving functions are developed and applied to the developed functions.
The project, which is led by Volkswagen, started on January 1st 2014 and has got a project budget of 25 million EUR, from which 14,3 million EUR are funded by the European Commission. The consortium consists of major automotive manufacturers, suppliers, research institutes and universities and small and medium-sized businesses.
no Person assigned I3112
01/2014 – 06/2017
VW, BMW, Centro, Daimler, Opel, Peugeot, Renault, Volvo, Ford, Bosch, Continental, Delphi, BASt, DLR, ICCS, TNO, CTAG, Chalmers, ika, University of Leeds, Lund University, University of Trento, Universität Würzburg, WIVW, ALCOR, ECICT