Thesis-2018-Yi.pdf (6.63 MB)
Personalised driving status recognition and monitoring
thesis
posted on 2020-12-07, 16:40 authored by Dewei YiA 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 UniversityRights holder
© Dewei YiPublisher 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
2018Notes
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 KalawskyQualification name
- PhD
Qualification level
- Doctoral