Automobiles are quickly becoming more complex as new sensors and support systems are
being added to improve safety and comfort. The next generation of intelligent driver …

Learning to Predict Driver’s Intent with Multimodal Sensory Cues: On-Road Operation and
Performance Evaluation for Lane Change Page 1 IEEE PERVASIVE COMPUTING MAGAZINE …

Driver behavioral cues may present a rich source of information and feedback for future
intelligent driver assistance systems (IDAS). Two of the most useful cues might be eye gaze …

This paper introduces a robust, real-time system for detecting driver lane changes. Under
the framework of a “mind-tracking architecture,” the system simulates a set of possible driver …

Predicting driver behavior is a key component for Advanced Driver Assistance Systems
(ADAS). In this paper, a novel approach based on Support Vector Machine and Bayesian …

Advanced Driver Assistance Systems have been shown to greatly improve road safety.
However, existing systems are typically reactive with an inability to understand complex …

Driver behavioral cues may present a rich source of information and feedback for future
intelligent advanced driver-assistance systems (ADASs). With the design of a simple and …

Drawing upon fundamental research in human behavior prediction, recently there has been
a research focus on how to predict driver behaviors. In this paper we review the field of …

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

This paper investigates methods to infer the driver's intention to leave the lane-or car-
following state and start a specific manoeuvre, such as a lane change or a turn, from easily …