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Driving confidence detection by machine learning classification and local outlier factor validation

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
The assessment of driver confidence is crucial in the Level 3 conditional automation driving (CAD) system defined by SAE J3016 and the advanced driver assistance system (ADAS). However, it is rather challenging due to reliance on subjective methods. This ...