Section: Partnerships and Cooperations

National Initiatives

• Title: Automatisation basse vitesse

• Instrument: ANR

• Duration: January 2009 - April 2013

• Coordinator: IFFSTAR

• Others partners: Continental, IBISC, IEF, Induct, Inria, LAMIH, Vismetris, UHA-MIPS, Veolia Environnement

• See also: http://www.projet-abv.fr/

• Abstract: This ambitious project aims at demonstrating automated driving at low speed in urban areas and on peri-urban roads. The aim is to demonstrate the technical feasibility of automating driving at low speeds, typically in situations of congestion or heavy traffic.

• Title: Système COopératif Routier Expérimental Français

• Instrument: FUI

• Duration: 2010-2013

• Coordinator: Renault-REGIENOV

• Others partners: UTAC, LAB, EURECOM, IFSTTAR, Inria, Télécom Ecole de Management

• See also: http://www.scoref.fr/

• Abstract: SCORE@F (French Experimental Road Cooperative System) is a collaborative research project, experimental road cooperative systems as part of a European framework for experimentation. The SCORE@F is intended to prepare the deployment of “road cooperative systems” on motorways and other road environments through the implementation of operational tests in an open environment. Road cooperative systems are based on wireless local communication between vehicles and road infrastructure (V2I - I2V) and between vehicles (V2V). The deployment of cooperative systems will be strongly influenced by road Framework Directive of the European Commission ITS.

• Title: Coopération Conducteur-Véhicule Automatisé

• Instrument: ANR

• Duration: 01/11/2013 – 30/04/2017

• Coordinator: Jean-Christophe Popieul (LAMIH - University of Valenciennes)

• Partners: LAMIH, IFSTTAR, Inria, University of Caen, COMETE, PSA, CONTINENTAL, VALEO, AKKA Technologies, SPIROPS

• Inria contact: Fawzi Nashashibi

• Abstract: CoCoVeA project aims at demonstrating the need to integrate from the design of the system, the problem of interaction with the driver in resolving the problems of sharing the driving process and the degree of freedom, authority, level of automation, prioritizing information and managing the operation of the various systems. This approach requires the ability to know at any moment the state of the driver, the driving situation in which he finds himself, the operating limits of the various assistance systems and from these data, a decision regarding activation or not the arbitration system and the level of response.