About

In the foreseeable future, intelligent cars and intelligent transportation systems will be equipped with multiple sensors in order to monitor road conditions and connect with other vehicles. However, humans play the most crucial role in daily driving scenarios, both inside and outside the car. Much evidence shows that the drivers’ risky driving behaviors are responsible for most car accidents. In order to solve this problem, understanding human behaviors and finding the interpretation of these behaviors can help us to better predict and prevent accidents. In fact, not only drivers but also passengers and pedestrians are traffic participants, so that we need to have eyes inside and outside of cars as well to achieve a trusted intelligent car system which is able to keep human-beings away from traffic accidents threats. This workshop is devoted to providing an integrated platform for researchers who are focusing on Human-Computer Interaction, Human-Machine Interaction, Human Factors, Artificial Intelligence, Cognitive Science, Autonomous Vehicle and other related fields. The goal of this workshop is to explore and build a reliable and novel framework for the future of car accidents prediction and human behavior understanding. Many challenges will be discussed, both from the industrial and research angle.

List of specific topics:

• Pattern Recognition
• Artificial Intelligence
• Automated Vehicles
• Pedestrian Detection
• Driver Monitoring
• Human-Machine Interaction
• Social Cognitive Autonomous Driving