The VTI National Transport Library Catalogue

Visualising the visual behaviour of vehicle drivers Blissing, Björn

By: Blissing, BjörnPublication details: Linköping Linköpings universitet, 2002; Teknik och naturvetenskap, ; LITH-ITN-MT-EX--02/19--SE, Description: 56 sSubject(s): Eye movement | Vision | Measurement | Method | Sweden | 841Online resources: Publikation/Publication Bibl.nr: VTI 2004.0807Location: Abstract: Most traffic accidents are caused by human factors. The design of the driver environment has proven essential to facilitate safe driving. With the advent of new devices such as mobile telephones, GPS-navigation and similar systems the workload on the driver has been even more complicated. There is an obvious need for tools supporting objective evaluation of such systems, in order to design more effective and simpler driver environments. At the moment video is the most used technique for capturing the drivers visual behaviour. But the analysis of these recordings is very time consuming and only give an estimate of where the visual attention is. An automated tool for analysing visual behaviour would minimize the post processing drastically and leave more time for understanding the data. In this thesis the development of a tool for visualising where the driver’s attention is while driving the vehicle. This includes methods for playing back data stored on a hard drive, but also methods for joining data from multiple different sources.
Item type: Reports, conferences, monographs
Holdings: VTI 2004.0807

Most traffic accidents are caused by human factors. The design of the driver environment has proven essential to facilitate safe driving. With the advent of new devices such as mobile telephones, GPS-navigation and similar systems the workload on the driver has been even more complicated. There is an obvious need for tools supporting objective evaluation of such systems, in order to design more effective and simpler driver environments. At the moment video is the most used technique for capturing the drivers visual behaviour. But the analysis of these recordings is very time consuming and only give an estimate of where the visual attention is. An automated tool for analysing visual behaviour would minimize the post processing drastically and leave more time for understanding the data. In this thesis the development of a tool for visualising where the driver’s attention is while driving the vehicle. This includes methods for playing back data stored on a hard drive, but also methods for joining data from multiple different sources.

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