Perception for Intelligent Vehicles
Abstract: Perceiving or understanding the environment surrounding of a vehicle is a very important step in advanced driver assistant systems (ADAS) or autonomous vehicles. The task involves both Simultaneous Localization And Mapping (SLAM) and Detection And Tracking of Moving Objects (DATMO). While SLAM provides the vehicle with a map of static parts of the environment as well as its location in the map, DATMO allows the vehicle being aware of dynamic entities around, tracking them and predicting their future behaviors.
It is believed that if we are able to accomplish both SLAM and DATMO in real time, we can detect every critical situations to warn the driver in advance and this will certainly improve driving safety and can prevent traffic accidents.
In my presentation, I will give an overview of the research done in my group on SLAM and DATMO with illustrations on demonstrators of car manufacturers.
Since 1999, Olivier Aycard is an Associate Professor at Grenoble
University (France) and member of the "Laboratoire d'Informatique de
Grenoble". He received his PhD in Computer Science from Nancy University
in 1998. In summer 1999, he was visiting Researcher at Nasa Ames
Research Center in California. His researches focus on Bayesian
Techniques for Perception with an emphasis on Simultaneous Localization
And Mapping (SLAM) and Detection And Tracking of Moving Objects (DATMO)
using multi-sensor approaches. He leaded the french project Predit
PUVAME (2003-2006). He participated to the european project
PReVENT-ProFusion (2004- 2008) on Perception aspects in cooperation with
Daimler and Volvo Trucks. Since 2008, he is involved in the european
project Intersafe2 related to Safety at Intersection in cooperation with
Volkswagen. Since 2010, he participates to the european project
Interactive-Perception focused on design of generic perception
architectures for Advanced Driver Assistant System in collaboration with
most of the european Car Manufacturers.
In addition he is in charge of lectures in Artificial Intelligence, Perception and Autonomous Robotics at Grenoble1 University.
Anonymity and Privacy in Communicating Critical Systems
“Université de la Méditerranée”, Marseille, France
Abstract: It is a well known that despite all of its advantages the digital revolution also leads to large variety of new risks. One principal issue in this context is the growing dependence of our modern information society from the availability and correct (proved) function of modern communication services.
First, I'll give a short overview on threats in communication networks (grids, clouds,etc), protocols and secure personal devices. Then I'll discuss current network security approaches based on anonymous message exchanges within communicating systems.
Cryptography was first used to ensure data confidentiality, it has been "democratized" by ensuring the safety of telecommunications services, thereby extending its scope to authentication of a person or device, or a message, non-repudiation, integrity but also the anonymity of transactions.
The anonymity is sometimes quite important in the new telecommunication and mobile networks services, much more than just message confidentiality. The talk will focus on some examples and new approaches developed in our research laboratory to deal with anonymity in routing protocols for mobile communicating systems.
Prof. Dr. Traian MUNTEAN: Professor Computer Science at “Université de la Méditerranée” - Marseille-France Head of ERISCS Research Laboratory “Interdisciplinary Research Group in Critical Computing and Secure Communicating Systems”. Before moving from Grenoble to the University of Marseilles, he was conducting research since 1975 in concurrent communicating systems at IMAG Institute where he lead the "Massively Parallel Systems" research group and several major European R&D projects (e.g. SUPERNODE I&II, MATISSE, PAPAGENA, NERVES,etc). T. Muntean holds a PhD degree in computer science from the University of Grenoble (INPG) and he was a visiting research fellow, on leave from INRIA, at University of Oxford (Programming Research Group) and Philips Research in Brussels in late 70's. Previously, he studied at the University of Grenoble where he received Master degrees in applied mathematics and computer science. Prof. Muntean advised about 40 PhD students at Grenoble and Marseilles Universities in France. Positions held before: CNRS Research Director, IMAG Laboratory, Grenoble, 2000-2003 Head of “Communicating & Concurrent Systems” Research Team LIM/CNRS laboratory-Marseilles (1995-2000) Research Director, IMAG Research Institute, University of Grenoble, till 1994 Head of “Massively Parallel Systems” Research Group at IMAG/LGI Laboratory Invited Professor, EPFL Lausanne, Postgrade program, 1987-1988 Associate Professor, University of Grenoble (UJF & INPG)