SS09: Computational Intelligence in Vehicle and Transportation Systems
( CFP)

Session Code: yv5nc


  • Prof. Xueming Qian
    Affiliation: Xi’an Jiaotong University

  • Prof. Guan Gui
    Affiliation: Nanjing University of Posts and Telecommunications

Scope and Goals

Recently, the study of computational intelligence has received a huge success, which promoted the rapid development of intelligent vehicle and transportation system. Computational intelligence such as machine learning, big data engineering, cloud computing and computer vision has become practical to build intelligent transportation systems. For example, computational intelligence currently used in vehicle technologies such as environmental awareness, identification, behavioral decision-making systems and so on. Specifically, including lane identification, vehicle pedestrian recognition, traffic sign detection, inter-vehicular networks, anomaly and intrusion detection, collision warning and avoidance, power management and navigation, driver alertness monitoring etc.

This special session aims to present and highlight the latest developments and emerging research in computational intelligence technologies with applications to developing all aspects of intelligent vehicle systems.

Topics of Interest

  • Computer vision for vehicle system
  • Big data engineering for vehicle system
  • Traffic flow prediction
  • Vehicles energy management
  • Traffic lane/sign detection and recognition
  • Cloud aided driving control
  • Intelligent wireless communication in vehicles
  • Automated vehicles with/without pilot/driver
  • Advanced driver assistance systems
  • Vehicle dynamics and control
  • Advanced sensing and recognition
  • Navigation and localization systems
  • Artificial intelligence technologies in intelligent vehicles
  • Vehicle on-board diagnostics
  • Inter-vehicular networks