LARA

1
LARA

• LA Route Automatisée
• Arnaud de La Fortelle

CAOR
IMARA
2
LARA - Overview

• Objectives
• Technology transfer, e.g. to the automotive
  industry
• Innovate in new transport concepts
• Experiment and evaluate new concepts
• Resources
• Cooperation with INRIA projects and with the
  international community (research and industry)
• Integration team 50 persons
• 12 cybercars, 8 cars and RD equipment

3
LARA Long Term Goals

• Improve mobility
• Provide door to door transport for anyone,
  anytime
• Eliminate accidents, noise and pollutions
• Reduce ground surface used by transport by 50
• Make the cities more attractive

4
Common Themes

• Signal processing (filtering, image processing,
  fusion),
• command and control of the vehicle (acceleration,
  braking, direction) and path planning,
• communication vehicle-vehicle and
  vehicle-infrastructure,
• Integration of real-time embedded systems.

5
Work program

• Web site LARA
• 4 Citroën C3 from CAOR will be commonly equipped
  and used for demonstation and parked at INRIA in
  a dedicated garage
• RT MAPS technology will be used on INRIAs
  cybercars 
• Ecole des Mines can use CyCabs for developments
  in perception/planning/control and for teaching 
• People can move easily between the two sites, as
  is most convenient for projects
• PhD thesis will be defended at Mines Paris.

6
Common Projects

• Contracts
• 3 European contracts REACT, COM2REACT and
  Cybercar2.
• LARA is involved in proposals as CityMobil, and
  in national programs (Numatec Automotive,
  Vestapolis).
• We would like to exploit our fleet of equipped
  vehicles for bigger experiments with other
  partners.

7
Advanced Driving Techniques

• Sensing
• Vision
• Laser
• Fusion
• Control
• Trajectory
• Obstacle avoidance
• Vehicle cooperation
• Stability

• Real-time software
• Distribution
• Redundancy
• Generation
• Certification
• System management
• Communication
• System design
• Optimisation

8
Future Research

• Communication and data-base building
• Path planning and optimization
• Vehicle-vehicle and vehicle-infra cooperation
• Error and incident recovery
• Management and optimization of large systems

9
Scientific Technical Difficulties

• Data-Bases real-time update and query
• Communications mobile ad-hoc networks with QoS
• Real-time software generation and certification
  in distributed and redundant environments
• Vehicle-vehicle cooperation high capacities