This paper presents a self-learning spatial memory approach for advanced driver assistance systems. The storage concept for this memory is based on an object relational data base with support for spatial queries. This memory component is applied to the problem of stationary false alarms of an adaptive cruise control system. Test results which demonstrate the practicality of this approach are also provided. Furthermore, an evaluation for different weather conditions is presented.
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