Integrated Vision Systems for Driver Assistance in Intelligent Vehicles

Intelligent vehicles are an active area of research, with significant contributions being made in sensing, control, and information processing. Advances in the field have the potential to improve safety, reduce risk of injury, and save lives. The focus of this research deals with the challenges of utilizing data from cameras looking out of the vehicle, monitoring the driving environment. We propose several relevant research goals that include applied computer vision ,information fusion, and systems integration. The ultimate goal is to instrument intelligent vehicles and deploy multi-objective integrated computer vision systems for intelligent driver assistance. The advantages of using multiple cues from integrated systems are substantial, allow for a deeper and more robust understanding of the on-road environment, and promise safer intelligent driver assistance systems.