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Visible to the public Improved Deep Learning of Object Category using Pose Information

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Visible to the public HTA-based Tracking of Pilot Actions in the Cockpit

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Visible to the public A New Hybrid Sensorimotor Driver Model with Model Predictive Control

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Visible to the public Collaborative Research: Adaptive Intelligence for Cyber-Physical Automotive Active Safety- System Design and Evaluation

To improve the current capabilities of automotive active safety control systems (ASCS) one needs to take into account the interactions between driver/vehicle/ASCS/environment. To achieve this goal, we are proposing a novel approach to collect data from a sensor-equipped vehicle. Motion Sensors (Inertial Measurement Units) are placed on various locations in the car, particularly around the driver's operational environment and moving car components, such as steering wheel, seat, pedals, as well as critical car components (e.g. motor, suspensions).