SESSION LIST

SESSION DETAILS

SS03: Intelligent Vehicle Motion Control and Safety
( CFP)

Session Code: hvg5b

Organizers

  • Guodong Yin
    Affiliation: School of Mechanical Engineering, Southeast University
    E-mail: ygd@seu.edu.cn

  • Bin Li
    Affiliation: Department of Mechanical & Industrial Engineering, Concordia University
    E-mail: l_bin18@encs.concordia.ca

  • Yanjun Huang
    Affiliation: Department of Mechanical and Mechatronics Engineering, University of Waterloo
    E-mail: huangyanjun404@gmail.com

Scope and Goals

Safety and energy saving are always the main concerns of the academia and automotive industry. Intelligent vehicles, as a promising solution to these concerns, have attracted an increasing attention. Intelligent vehicles can improve the vehicle controllability, safety, and transportation efficiency by integrating the recent advancements in sensing, communication, computation, and intelligent transportation system. The key technologies of intelligent vehicles feature sensing, fast data and signal processing, decision-making, and advanced control & optimization. This special session aims to look for contributions on recent research and applications mainly but not exclusively of advanced control methods/technologies for intelligent vehicles to enhance driving safety, energy efficiency.

Topics of Interest

  • Lateral and longitudinal vehicle motion control
  • X-by-wire technologies
  • Autonomous vehicle sensing and actuation
  • Data and signal processing technologies
  • Advanced driver assistant systems
  • Driver-machine cooperative system
  • Vehicle energy management and efficiency control
  • Intelligent transportation system
  • Simulations and experiments for Intelligent vehicles