Browsing by Author "Sullman, Mark"

Browsing by Author "Sullman, Mark"

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  • Analysis of autopilot disengagements occurring during autonomous vehicle testing 
    Lv, Chen; Cao, Dongpu; Zhao, Yifan; Auger, Daniel J.; Sullman, Mark; Wang, Huaji; Millen Dutka, Laura; Skrypchuk, Lee; Mouzakitis, Alexandros (IEEE, 2017-12-20)
    In present-day highly-automated vehicles, there are occasions when the driving system disengages and the human driver is required to take-over. This is of great importance to a vehicle U+02BC s safety and ride comfort. In ...
  • Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles 
    Lv, Chen; Wang, Huaji; Cao, Dongpu; Zhao, Yifan; Auger, Daniel J.; Sullman, Mark; Matthias, Rebecca; Skrypchuk, Lee; Mouzakitis, Alexandros (IEEE, 2018-03-05)
    In order to design an advanced human-automation collaboration system for highly automated vehicles, research into the driver's neuromuscular dynamics is needed. In this paper a dynamic model of drivers' neuromuscular ...
  • An orientation sensor based head tracking system for driver behaviour monitoring 
    Zhao, Yifan; Görne, Lorenz; Yuen, Iek-Man; Cao, Dongpu; Sullman, Mark; Auger, Daniel J.; Lv, Chen; Wang, Huaji; Matthias, Rebecca; Skrypchuk, Lee; Mouzakitis, Alexandros (MDPI, 2017-11-22)
    Although at present legislation does not allow drivers in a Level 3 autonomous vehicle to engage in a secondary task, there may become a time when it does. Monitoring the behaviour of drivers engaging in various non-driving ...
  • Polish adaptation of the driving and riding avoidance scale 
    Błachnio, Agata; Przepiórka, Aneta; Sullman, Mark; Taylor, Joanne (De Gruyter Open, 2013-04-12)
    Driving anxiety is a relatively undervalued topic of research, despite the fact that it can have a substantial detrimental impact on an individuals' life. The prevalence of driving anxiety in motor vehicle crash (MVC) ...