A Context-Aware Driving Assistance system links drivers to the environment in which they drive, both from the perspective of the relationship between the human and his/her car, as well as from the perspective of the traffic situation. Existing ADAS solutions each focus on one only aspect of driving.
The purpose of a context-aware ADAS system is to provide an overall understanding of the current traffic conditions (at a semantic level) (for example, a driver behind another one wants to overtake under light rain conditions and in a broad-bend road). A context-aware robotic personal assistance system uses and reasons using various sensors mounted on the robot and in enclosures to provide personalized, efficient robotic services with greater robustness than could be provided by the stand-alone robot. In robotic assistance scenarios for people with special needs as well as in cases of assistance in public spaces, the robots used must always be aware of the situation they are in, the environment in which they operate, and especially the users whom they serve.
In context-aware services, an essential issue is to determine what kind of information becomes context information for an application, and how it can be used in conjunction with other information.