Topics include but are not limited to theoretical and practical contributions of computational intelligence to the following areas for vehicles and vehicular systems:

Application to automotive, aerospace, marine, military, and other (mining industry, locomotives, etc.) vehicles
Intelligent control
On-board / off-board / remote diagnostics and prognostics
Fault mitigation and recovery
Safety systems
Infotainment systems
Navigation systems / Electronic horizon
Human Machine Interfaces
Advisory Systems
Attributes and assessment of intelligence in intelligent vehicles
Autonomous and semi-autonomous driving
Intelligent transportation systems
Vehicle manufacturing processes
Other vehicle applications

Special Sessions:

Intelligent Vehicle Systems

Special session objectives and topics

The research and development of intelligent vehicles are rapidly growing worldwide. With the decreasing sensor costs and computer chips and increasing computer processing speed and memory, 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, driver alertness monitoring etc. 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.

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

Submissions to the Special Session should be centered on theoretical results or innovative applications of computational intelligence to intelligent vehicle systems. Specific topics for the special session include, but are not limited to:

Collision detection and avoidance
Computational intelligence in vehicle communications and connectivity
Driver state 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

source: http://www.ieee-ssci.org/CIVTS.html