Analysis on Driver Distraction


Analysis on Driver Distraction

All driving patterns are clustered into several distinctive regions. The deviations from normal executions that are reflected in feature space are considered distracted or abnormal driving. This approach is applied to analyze the secondary task influence on driving.

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Driving Maneuver Recognition


Driving Maneuver Recognition

Stochastic models are used to recognize the maneuvers and routes in a predictive manner. Understanding how these maneuvers are performed can provide information on how the driver controls the vehicle and how driving performance varies over time.

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Portable Data-Collection Platform


Portable Data-Collection Platform

Mobile-UTDrive, is an Android based smartphone/tablet app, which is leveraged as a cost effective approach for in-vehicle data collection, monitoring, and added safety options/feedback strategies.

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Human-Centric Active Safety Systems


Human-Centric Active Safety Systems

Driver behaviour models are used to design context-aware, human-centric active safety systems.

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