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Growing congestion in terms of competing technology within, and traffic outside the vehicle has motivated the evolution of advanced safety systems to be context and situation aware by processing multi-sensor information effectively providing timely decisions to assist the driver in driving safely. Towards vehicular and occupant safety, it is important to understand how drivers drive and to identify any variations in their driving performance. One approach to accomplish this is to analyze driving maneuvers. These maneuvers are influenced by the driver's choice and traffic/road conditions, so analyzing these gives an indication of the driving performance. Various framing strategies have been adopted to analyze these continuous temporal information in manageable lengths of data to obtain analysis results as quickly and accurately as possible. Either fixed time window frames or event based frames are amongst the most widely used.