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Connected Cars and Intelligent Transportation Lab
Current Research Topics
Driver behavioral models based on Can-bus (time series) data
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Identification of the driver
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Drivers grouping by behavioral characteristics – aggressive, safe driving, etc.
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Learning the minimal needed set of sensors to avoid exhaustive big data storage
Environment recognition based on Can-bus (time series) data
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Road type identification
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Road condition\Tactile data (ice, grades, banking, curvature, bumps, cracks, and potholes)
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Interesting weather conditions (visibility, wind direction, amount of precipitation)
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Learning the minimal needed set of sensors to avoid exhaustive big data storage
Additional research
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Diagnostic trouble codes (DTC) classification based on the context and environment
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Extension of the warranty and good will based on the vehicle usage patterns
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Predictive maintenance
Lab Research Team
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