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 ...

This research focused on the modelling of realistic “human like” driving behaviour for the purpose of studying and understanding the complex interactions that lead to accidents. The ultimate goal of which is to develop a driver behaviour model that can be used in simulations to analyze and understand driving behaviour and human errors for the purpose of increasing road safety. A rigid and pract...

Older people may be advised to switch from manual to automatic gear shifting, because they may have difficulties with dividing their attention between gear shifting and other driving tasks such as perceiving other traffic participants. The question is whether older drivers show a better driving performance when using automatic gear shifting instead of manual gear shifting. Twenty young and twen...

With the rapid expansion in interactive environments, the need for more sophisticated cognitive models of aesthetic emotion transition is even more pressing for both academic and industrial applications. As part of our research to develop a model of aesthetic emotions and their patterns of transition, we have conducted two free report experiments concerning an interactive environment (a driving...

Driving simulators emerged as a promising technology for the analysis of driving conditions and road users’ behaviour in an attempt to tackle the problem of road accidents. The work presented herein demonstrates the design and development of a driving simulator that aims to contribute towards evaluating black spots in road networks by promoting rapid design of realistic models and facilitating ...

Collision avoidance system with automatic braking has been developed to prevent rear-end crashes. It is pointed out that driver's behaviors could be changed by introducing such collision avoidance systems. Thus, it is important to understand the driver's behavioral changes with such systems and to apply the results to its better design for effective use of the assistance system. On the other ha...

This paper adresses the inverse reinforcement learning (IRL) problem, that is inferring a reward for which a demonstrated expert behavior is optimal. We introduce a new algorithm, SCIRL, whose principle is to use the so-called feature expectation of the expert as the parameterization of the score function of a multiclass classifier. This approach produces a reward function for which the expert ...