This research proposes an assessment model for quantifying the perceived visual complexity (PVC) of an in-vehicle instrument cluster. An initial study was conducted to investigate the possibility of evaluating the PVC of an in-vehicle instrument cluster by estimating and analyzing the complexity of its individual components. However, this approach was only partially successful, because it did not take into account the combination of the different components with random levels of complexity to form one visual display. Therefore, a second study was conducted focusing on the effect of combining the different components. The results from the overall research enabled us to suggest a basis for quantifying the PVC of an in-vehicle instrument clust...
This article describes a new approach in developing computational driver models in vehicle simulatio...
Work title: The response of the visual system when driving a car in real conditions and in a simulat...
This thesis proposes a driver visual information acquisition model which gathers information based ...
Advancements in technology have spurred the development of new in-vehicle applications. Drivers are ...
This paper describes the development of a model that can be used to estimate the visual complexity o...
The importance of the ambience presented by instrumentation in the vehicle of today is of great sign...
We investigate the role of visuospatial environmental cues on driver (in)attention in everyday natur...
A majority (95%) of crashes can be attributed to humans, with the highest cause category (41%) invol...
The sudden appearance of a glaring object during night time driving, e.g. industrial buildings or bi...
Given the recent proliferation of in-vehicle systems, understanding how drivers deal with the visual...
Visuospatial complexity refers to the level of detail or intricacy present within a scene, takingint...
To meet the requirements of scenario-based testing for Autonomous Vehicles (AVs), driving scenario c...
With the development of the drive of electronic communication technology, the driving assistance sys...
Safety concerns increase as the number of installed in-vehicle information systems rapidly grows. Th...
Parameter setting is a process primary used to specify in what kind of vehicle an electronic control...
This article describes a new approach in developing computational driver models in vehicle simulatio...
Work title: The response of the visual system when driving a car in real conditions and in a simulat...
This thesis proposes a driver visual information acquisition model which gathers information based ...
Advancements in technology have spurred the development of new in-vehicle applications. Drivers are ...
This paper describes the development of a model that can be used to estimate the visual complexity o...
The importance of the ambience presented by instrumentation in the vehicle of today is of great sign...
We investigate the role of visuospatial environmental cues on driver (in)attention in everyday natur...
A majority (95%) of crashes can be attributed to humans, with the highest cause category (41%) invol...
The sudden appearance of a glaring object during night time driving, e.g. industrial buildings or bi...
Given the recent proliferation of in-vehicle systems, understanding how drivers deal with the visual...
Visuospatial complexity refers to the level of detail or intricacy present within a scene, takingint...
To meet the requirements of scenario-based testing for Autonomous Vehicles (AVs), driving scenario c...
With the development of the drive of electronic communication technology, the driving assistance sys...
Safety concerns increase as the number of installed in-vehicle information systems rapidly grows. Th...
Parameter setting is a process primary used to specify in what kind of vehicle an electronic control...
This article describes a new approach in developing computational driver models in vehicle simulatio...
Work title: The response of the visual system when driving a car in real conditions and in a simulat...
This thesis proposes a driver visual information acquisition model which gathers information based ...