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This paper details the research, development, and demonstrations of real-world systems intended to assist the driver in urban environments, as part of the Urban Intelligent Assist (UIA) research initiative. A 3-year collaboration between Audi AG, Volkswagen Group of America Electronics Research Laboratory, and UC San Diego, the driver assistance portion of the UIA project focuses on two main use cases...
In this study, we present novel work focused on assisting the driver during merge maneuvers. We use an automotive testbed instrumented with sensors for monitoring critical regions in the vehicle's surround. Fusing information from multiple sensor modalities, we integrate measurements into a contextually relevant, intuitive, general representation, which we term the Dynamic Probabilistic Drivability...
It is well known that not all drivers drive the same and the same driver has different driving characteristics with different vehicles. Identifying these characteristics that are unique to each driver/vehicle response opens the way for more personalized and accurate driver assistance systems. In this paper we consider the problem of identifying the driver/vehicle characteristics by processing real...
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