Thesis-2018-Yi.pdf (6.63 MB)

Personalised driving status recognition and monitoring

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thesis
posted on 07.12.2020, 16:40 by Dewei Yi
A number of advanced driver assistance systems have recently been developed and implemented to improve road safety and driving experience. However, most of them are designed based on generic driver behaviours, where driving characteristics and preferences of a specific driver are neglected. Therefore, it is not surprising that conventional driving status recognition systems may lead to degraded performance for a particular driver. To this end, driving status recognition systems should be personalised to enhance system performance. This thesis aims to develop driving status recognition systems of high accuracy in order to ensure driving safety. [Continues.]

Funding

Loughborough University

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Publisher

Loughborough University

Rights holder

© Dewei Yi

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2018

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy of Loughborough University.

Language

en

Supervisor(s)

Wen-Hua Chen ; Cunjia Liu ; Roy Kalawsky

Qualification name

PhD

Qualification level

Doctoral

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