Bayesian Networks are employed to model the uncertainty hindering in the overtaking behavior of young drivers in two-lane highways and reveal the traffic related microscopic characteristics that may influence the decision to overtake. Results using data from an experiment conducted on driving simulator show that male drivers, on average, accept smaller gaps for overtaking than female drivers. F...

Tone mapping and visual adaptation are crucial for the generation of static, photorealistic images. A largely unexplored problem is the simulation of adaptation and its changes over time on the visual appearance of a scene. These changes are important in interactive applications, including walkthroughs or games, where effects such as dazzling, slow dark-adaptation, or more subtle effects of vis...

Computer based simulation models of human driving behaviour can be used effectively to model driving behaviour and behavioural adaptation to Intelligent Transport System (ITS). This can be a useful step in human centered design of ITS. To construct a comprehensive model of driving behaviour, the interaction between the three levels of the driving task has to be determined. This gives insight in...

This paper presents a method for evaluating the credibility of agents’ behaviors in immersive multi-agent simulations. It combines two approaches. The first one is based on a qualitative analysis of questionnaires filled by the users and annotations filled by others participants to draw categories of users (related to their behavior in the context of the simulation or in real life). The second ...

We propose an efficient and effective image generation system for an experimental mixed-reality traffice space. Our enhanced traffic/driving simulation system represents the view through a hybrid that combines virtual geometry with real images to realize high photo-reality with little human cost. Images for datasets are captured from the real world, and the view for the simulation system is cre...

Intersections are one of the most complex and cognitively demanding driving situations. Individuals with dementia and, more precisely, Alzheimer’s disease (AD), may face additional challenges negotiating intersections given the nature of their cognitive decline, which often includes deficits of attention. We developed a comprehensive evaluation scheme to assess simulated driving performance at ...

We present a method for multiresolution view-dependent real-time display of terrain undergoing on-line modification. In other words, the method does not assume static terrain geometry, nor does it assume that the terrain update sequence is known ahead of time. The method is both fast and space efficient. It is fast because it relies on local updates to the multiresolution structure as terrain c...

A crash avoidance database structure that is based on driver judgments is proposed. The structure comprises four driving conflict states (low risk, conflict, near crash, and crash) that correspond with advisory warning, crash-imminent warning, and crash mitigation countermeasures. The feasibility of this database structure is investigated by answering two questions: (a) Can the driving states b...

Automatically driving based on computer vision has attracted more and more attentions from both research and industrial fields. It has two main challenges, high road and vehicle detection accuracy and real-time performance. To study the two problems, we developed a driving simulation platform in a virtual scene. In this paper, as the first step of final solution, the Extreme Learning Machine (E...

Driving a car has become a challenge for many people despite the fact that evermore technology is built into vehicles in order to support the driver. Above all, the increasing number of in-vehicle information systems (IVIS) is a main source of driver distraction. The fragmentation of IVIS elements in the cockpit increases the attention demand and cognitive load of the driver. In this paper, we ...