Automated Driving Applications and Technologies for Intelligent Vehicles (AdaptIVe)

AdaptIVe will enhance the performance and improve the acceptance of automated driving of cars and trucks. The project develops new and integrated automated functions to improve traffic safety by minimizing the effects of human errors and to enhance traffic efficiency by smoother flows and reduced congestion. The approach is based on a shared control concept, assuring proper collaboration between the driver and the automation system. This is realised using cooperative vehicle technologies, advanced obstacle sensors and adaptive schemes where the level of automation dynamically responds to the situation and driver status. The project will demonstrate and evaluate eight advanced vehicles seven cars and one truck with various combinations of automated functions. These implementations will be based on the needs of different environments and levels of traffic complexity, including motorways, urban scenarios and close-distance manoeuvres. Several common features developed in these vehicles will establish fundamental building blocks for the future exploitation of automated driving, in terms of architecture, fault-tolerance, and human factors. Communication technologies will be employed as a key enabler of highly automated schemes supporting cooperative traffic and improving road safety. In addition to the technological and ergonomic aspects, AdaptIVe will address important legal issues that might impact on the successful market introduction of automated systems in particular product liability and road traffic laws. It will identify the legal implications for manufacturers and drivers and examine the need for corresponding changes in regulation. By demonstrating these results, AdaptIVe will significantly improve the knowledge base for automated driving and strengthen the position of European industries in the area of Intelligent Vehicles and road safety.

Participants

Jonas Sjöberg (contact)

Professor at Signals and Systems, Mechatronics

Collaborations

Alcor di Giancarlo Alessandretti

Rivoli, Italy

BMW

Muenchen, Germany

Bosch

Gerlingen-Schillerhoehe, Germany

Bundesanstalt für Strassenwesen (BASt)

Bergisch Gladbach, Germany

Centro Ricerche Fiat (CRF)

Orbassano, Italy

Continental Automotive Gmbh

Hannover, Germany

Continental Teves Ag & Co. Ohg

Frankfurt Am Main, Germany

Daimler

Stuttgart, Germany

Delphi Deutschland

Wuppertal, Germany

European Center for Information and Communication Technologies

Berlin, Germany

Fundacion para la Promocion de la Innovacion, Investigacion y Desarrollo Tecnologico en la Industria de Automocion de Galicia

Porrino Pontevedra, Spain

German Aerospace Center (DLR)

Köln, Germany

Institute of Communication and Computer Systems

Athina, Greece

Lund University

Lund, Sweden

Netherlands Organisation for Applied Scientific Research (TNO)

Delft, Netherlands

Opel

Ruesselsheim, Germany

Peugeot Citroen Automobiles

Velizy-Villacoublay, France

Renault

Boulogne Billancourt, France

RWHT Aachen University

Aachen, Germany

University of Leeds

Leeds, United Kingdom

University of Trento

Trento, Italy

University of Würzburg

Wuerzburg, Germany

Volkswagen

Wolfsburg, Germany

Volvo Car Corporation

Gothenburg, Sweden

Volvo Technology

Gothenburg, Sweden

Funding

EC, Seventh Framework program (FP7)

Funding years 2014–2017

Related Areas of Advance and Infrastructure

Transport

Area of Advance

More information

Project Web Page

http://www.adaptive-ip.eu/

Project Web Page at Chalmers

http://www.chalmers.se/safer/EN/projects/p...

Latest update

2015-10-20