Wearable eye tracking in real-world Oxford cycling reveals gaze pattern differences by lane type, intersection, and traffic events, indicating variations in perceived danger and workload.
IEEE Transactions on Intelligent Transportation Systems22, 6 (2021), 3214–3233
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Review of AI applications in power-converter-rich systems across design, control, operations, and governance, highlighting deployment gaps.
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What Can Eye Gaze Teach Us About Real-World Cycling? Insights From the Oxford RobotCycle Project
Wearable eye tracking in real-world Oxford cycling reveals gaze pattern differences by lane type, intersection, and traffic events, indicating variations in perceived danger and workload.