Automotive and Intelligent Transportation Systems

Information

Aim and objective

• Synthesize the latest developments in the applications of new technologies (ICT) to autonomous vehicles and intelligent transport systems of the future.
• Understand the challenges of driver assistance systems (ADAS).
• Addressing the latest R & D developments in the field through seminars given by industrials or researchers;

Outcome learning

• INSA reference data :
  • Caractériser des systèmes de vision [3P]
  • Réaliser des circuits numériques [3P]
  • Appréhender la méthodologie générale de conception d'un système embarqué [2P]
• CNISF reference data :
  • T10A [1P]
  • J10J [1P]
  • J10P [3P]
  • J10Q [1P]
  • J10S [3P]
  • J40Q [1P]
  • J50E [1P]
  • J50T [3P]
  • H30T [3P]

Course description

• Introduction to intelligent transportation systems (ITS)
• Intelligent vehicles:
  • Navigation systems
  • Vehicle longitudinal control
  • Side control
  • Control assistance systems (CAS)
  • Inter-vehicle communication
• Intelligent road:
  • ICT of Road infrastructure
  • Road information systems for displacement assistance
  • Vehicle to Infrastructure communication (V2I)

Prerequisites

Image processing, Static Signal processing, sensors, and electronics.

Bibliography

• Positioning Systems in Intelligent Transportation Systems by Chris Drane, Chris Rizos 369 pages (January 1998)
• Introduction to Transportation Systems by Joseph Sussman 508 pages (May 2000)
• Vehicle Location and Navigation Systems by Yilin Zhao 345 pages (April 1997)

Assessment

• Final Exam: 50%
• Project: 50% (studying and analyzing a state-of-the art publication of the domain)