Algorithm Design for Driver Attention Monitoring
The concept driver distraction is diffuse and no clear definition
exists, which causes troubles when it comes to driver attention
monitoring. This thesis takes an approach where eye-tracking data
from experienced drivers along with radar data has been used and
analysed in an attempt to set up adaptive rules of how and how often
the driver needs to attend to different objects in its surroundings,
which circumvents the issue of not having a clear definition of driver
distraction. In order to do this, a target tracking algorithm has been
implemented that refines the output from the radar, subsequently used
together with the eye-tracking data to in a statistical manner, in the
long term, try to answer the question for how long is the driver
allowed to look away in different driving scenarios? The thesis
presents a proof of concept of this approach, and the results look
promising.
Olle Sjöblom
2015

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