T
Trent Victor
Researcher at Chalmers University of Technology
Publications - 90
Citations - 4201
Trent Victor is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Driving simulator & Crash. The author has an hindex of 31, co-authored 85 publications receiving 3647 citations. Previous affiliations of Trent Victor include Uppsala University & Volvo.
Papers
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Journal ArticleDOI
Sensitivity of eye-movement measures to in-vehicle task difficulty
TL;DR: In this article, the eye-movement measures were found to be highly sensitive to the demands of visual and auditory in-vehicle tasks as well as driving task demands, and two new measures, Percent road centre and Standard deviation of gaze, were found more sensitive, more robust, more reliable, and easier to calculate than established glance-based measures.
Patent
Method and arrangement for controlling vehicular subsystems based on interpreted driver activity
TL;DR: In this paper, a variable characteristic is measured, on a substantially real-time basis, which correlates to the driver's inattentiveness, and the performance of a subsystem of the vehicle, such as cruise control or lane keeping support, is tailored, based thereupon, to assure that behavior of a vehicle appropriately matches the drivers' present level of intentiveness.
BookDOI
Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk
Trent Victor,Marco Dozza,Jonas Bärgman,Christian-Nils Åkerberg Boda,Johan Engström,Gustav Markkula +5 more
TL;DR: The SAFER Vehicle and Traffic Safety Centre at Chalmers, Gothenburg, Sweden as discussed by the authors is a joint research unit where 25 partners from the Swedish automotive industry, academia and authorities cooperate to make a center of excellence within the field of vehicle and traffic safety (see www.chalmers.se/safer ).
Patent
System and method for real-time recognition of driving patterns
Johan Engström,Trent Victor +1 more
TL;DR: In this article, a system and method for real-time, automatic, recognition of large time-scale driving patterns employs a statistical pattern recognition framework, implemented by means of feed-forward neural network utilizing models developed for recognizing, for example, four classes of driving environments, namely highway, main road, suburban traffic and city traffic, from vehicle performance data.
Patent
Method and apparatus for determining and analyzing a location of visual interest
Trent Victor,Peter Kronberg +1 more
TL;DR: In this paper, a method of analyzing data based on the physiological orientation of a driver is provided, where data is descriptive of driver's gaze-direction is processing and criteria defining a location of driver interest is determined.