Some Key Technologies for Next Cars Generation

Speaker: Prof Christian Laugier Title: Some Key Technologies for the Next Car Generation Abstract Modern cars include more and more sophisticated electronics, sensors, processing and control
components. These new components are used both for controlling the main functions of the
vehicle and for providing the driver with Advanced Driving Assistance Systems (ADAS). Such
ADAS functionalities are increasingly based on Robotics technologies for partly automating
some driving functions such as adaptive cruise control, acceleration/braking in a traffic lane, lane
keeping, parking assistance, or even simple collision avoidance or mitigation actions (including
braking or airbag actuation). Most of the automotive constructors are now proposing ADAS
options, and the degree of autonomy of cars is progressively increasing. But the ultimate
challenge addressed by many Academic and Industrial Research Laboratories and is to develop
driverless cars. Impressive results have already been published and shown to a large public
through the media, and many announcements concerning the future deployment of such vehicles
have recently been done by several major Automotive Manufacturers and Multinational groups
such as Google.
This talk addresses both the socio-economic and technical issues which are behind the
development of the next car generation. These future cars will include both smart ADAS and
Driverless Car functionalities. An emphasis will be put on the main enabling technologies which
are required for providing the vehicle with a Robust Embedded Perception system, a Situation
Awareness capability including Short term Prediction and Collision Risk estimation, and a
Decisional and Control System for generating safe Navigation and Maneuvering actions. All
theses functionalities have to be robust in the presence of sensing errors, uncertainty and traffic
hazards. It will be shown that “Bayesian Perception” and “Bayesian Decision” are two key
paradigms for developing the above mentioned functionalities. Experimental results obtained on
real equipped vehicles provided by Toyota and by Renault will be used to illustrate the talk.
Dr. Christian Laugier received the PhD and the “State Doctor” degrees in
Computer Science from Grenoble University (France) in 1976 and 1987
respectively. He is a First class Research Director at INRIA (
and he is the Scientific Leader of the e-Motion team-project
( common to INRIA Rhône-Alpes and to the LIG
Laboratory ( From 2007 to 2011 he was Deputy Director of
the LIG Laboratory involving about 500 peoples; he was also Deputy Director of the
Computer Science and Artificial Intelligence Laboratory (LIFIA) from 1987 to
1992. Since 2009, he is also Scientific Program Manager for Asia & Oceania at the
International Affairs Department of INRIA.
His current research interests mainly lie in the areas of Motion Autonomy, Probabilistic Reasoning,
Embedded Perception, and Intelligent Vehicles. He has co-edited several books in the field of Robotics,
and several special issues of scientific journals such as IJRR, Advanced Robotics, JFR, IEEE Trans on
ITS, IEEE RAM or IEEE ITS Magazine. In 1997, he was awarded the “IROS Nakamura Award” for his
contributions to the field of “Intelligent Robots and Systems”, and in 2012 he received the “IEEE/RSJ
Harashima award for Innovative Technologies” for his “Outstanding contributions to embedded
perception and driving decision for intelligent vehicles”.
Dr. Christian Laugier is member of several scientific committees such as the Steering/Advisory
Committees of the IEEE/RSJ IROS, FSR, and ICARCV conferences. He is also co-Chair of the IEEE
RAS Technical Committee on AGV & ITS, which has been awarded twice (in 2006 and 2012) by IEEE
RAS. He has been General Chair or Program Chair / co-Chair of international conferences such as
IEEE/RSJ IROS’97, IROS’02, IROS’08, IROS’10, IROS’12, FSR’07, and IEEE ARSO’15. In addition to
his research and teaching activities, he co-founded four start-up companies in the fields of Robotics,
Computer Vision, Computer Graphics, and Bayesian Programming tools. He also served as Scientific
Consultant for the ITMI, Aleph Technologies, and Probayes companies.