A Comprehensive Review: Analysis of Machine Learning, Deep Learning, and Large Language Model Techniques for Revolutionizing Driver Identification
Anwar Mehmood Sohail,
Ying Wah Teh,
Nauman Khan
et al.
Abstract:Driver identification is crucial for various applications including
automotive security, law enforcement, and the ride-sharing industry, as
well as for advanced driver assistance systems, fleet management, and
usage-based insurance. Machine learning and deep learning techniques
have emerged as promising approaches for accurate identification, yet a
comprehensive analysis of existing methods remains unattainable. Despite
significant research efforts, no in-depth survey has thoroughly
evaluated and compared exis… Show more
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