IEEE Task Force on IEEE Task Force on Intelligent Vehicle Systems

Motivation

The research and development of intelligent vehicles are rapidly growing worldwide. With the decreasing sensor costs and computer chips, increasing computer processing speed and memory, and fast emerging V2V and V2I communication systems, it has become practical to provide a host of intelligent devices in cars that can be used in airbag control, unwelcome intrusion detection, collision warning and avoidance, power management and navigation, advanced driver assistant systems, driverless cars, and connected vehicles. Computational intelligence plays a vital role in building different types and levels of intelligence in vehicle systems, which in turn, offer the potential for significant enhancements in driving safety, operational efficiency and autonomy.

Goals

The main goal of this task force is to promote and disseminate innovative technologies developed for intelligent vehicle and transportation systems, and emerging computational intelligence theories and algorithms. The task force will provide forums for researchers and practitioners to exchange research ideas, share results, and quickly disseminate new technologies to researchers and practitioners by organizing special sessions in conferences supported by the Society of Computational Intelligence and a symposium at the annual SSCI.

Scope

The scope of this task force includes the following topics:

  • Collision detection and avoidance
  • Computational intelligence in vehicle communications and connectivity
  • Computational intelligence in automated driving
  • Driver wellness detection and monitoring
  • Driver assistance and automation systems
  • Fault diagnostics and health monitoring
  • Human and vehicle interface
  • Intelligent battery management
  • In-vehicle automation systems
  • Learning and adaptive control
  • Learning/adaption in recognition and perception
  • Robotic vehicles and driverless cars
  • Route guidance systems
  • Smart sensors and virtual sensors
  • Traffic sign detection and recognition
  • Trip modeling and driver speed prediction
  • Vehicle energy management and optimization in hybrid vehicles