Adaptive Fuzzy Video Compression Control for Advanced Driver Assistance Systems

Modern advanced driver assistance systems (ADAS) combine dedicated hardware with novel algorithms to provide the driver with an efficient vehicle control support and represent an important element of the emerging ecosystem of intelligent transportation systems. Nowadays, they often use sophisticated methods and intelligent algorithms to achieve a high quality of service. Video–based systems are concerned with the acquisition of input data (video signal), its transmission inside the vehicle, and presentation to the driver in the cockpit. In this work, the design of an intelligent system for dynamic video compression control in ADAS is presented and evaluated.