Abstract: Examples are disclosed of systems and methods for developing personalized intervention strategies for advanced driver assistance systems (ADAS) based on in-cabin sensing data and related driving context information. In one embodiment, a method for a vehicle comprises, generating a driver profile of a driver of the vehicle, the driver profile including driving style data of the driver, the driving style data including at least a braking style; an acceleration style; a steering style; and one or more preferred cruising speeds of the driver; estimating a cognitive state of a driver of a vehicle; and adjusting one or more actuator controls of an ADAS based on the estimated cognitive state of the driver, the driver profile of the driver, and route/traffic info of the vehicle.

Abstract: A display device for measured values, function, status and trouble indications and the like comprising at least one liquid crystal cell having areas with different coloration of the indications, a light guide extending along at least one of these areas at the back side of the liquid crystal cell for enabling different coloration of the one area and a light source arranged at an end area of the light guide for illuminating the liquid crystal cell.