The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The incorporation of Augmented Reality (AR) in the windshield of automobiles using heads-up displays (HUD) is starting to be implemented by some manufacturers and is proving to be very useful in some situations, including safety distance keeping. This paper reports on a system that warns the driver via the car's HUD when he violates the predefined safety distance, to avoid a possible forward collision,...
Driver distraction is an important risk factor for road traffic injuries, and has been the focus of a number of empirical studies aiming to raise awareness about the risks of distracted driving and to promote countermeasures. While some of the recorded road incidents in these studies have their roots in distracting events (such as mobile phone usage) a large proportion of recorded road incidents can...
Tough competition in the automobile market makes it very important to exceed customer expectations with in-vehicle devices or applications in order to stand out in an already saturated market. Research on human-machine interaction (HMI) showed that user satisfaction is not only influenced by usability factors but also by user experience (UX). Since UX in the automotive context has not yet been comprehensively...
This paper presents results of the deployment of vehicle safety systems developed by the Intelligent Vehicles and Safety Systems Group at the Australian Centre for Field Robotics. The technology was deployed within an active mine site in Australia undergoing standard open-cut mining operations. Data were collected from the vehicles and analysed in order to assess the overall safety and performance...
This paper presents a statistical method for detecting anomalous driving behavior by analyzing cross-sectional profiles of the road. A profile captures the way vehicles normally traverse the road; a statistical hypothesis test determines whether the observed behavior is anomalous. Experimental results on genuine data collected by a fleet of vehicles demonstrates the potential of this new method.
Handing-over vehicle control from a human driver to an intelligent vehicle and vice versa needs elaborate and safe hand-over strategies. Before passing control it must be ensured that the driver is aware of all objects which are important in a particular traffic situation. In this work a decision tree is used to learn which objects attract the driver's gaze in a particular situation. The decision...
This paper presents the results of the attitudinal and behavioural research undertaken as part of the NSW Intelligent Speed Adaptation (ISA) Trial. Over 110 light vehicles from private and company fleets were fitted with an Advisory ISA device. In addition to the collection of speed records to measure compliance, drivers were asked to participate in quantitative and qualitative attitudinal research...
It has been previously established that high cognitive load influences driving performance, but is the driver's perception of their experience while driving also influenced by cognitive load? To our knowledge, little evaluation has taken place regarding the investigation of such an effect of cognitive load on user experience, especially in the automotive domain. This paper introduces motivation and...
To support the early evaluation of the effects of a novel system on its environment, it is important to understand and analyze current deficits and problems within the application domain and to derive hypotheses on the potential impact of the system. An emerging application domain of such cause-effect oriented requirements engineering methods is the automotive domain. New upcoming functionalities...
The European V-Charge project seeks to develop fully automated valet parking and charging of electric vehicles using only low-cost sensors. One of the challenges is to implement robust visual localization using only cameras and stock vehicle sensors. We integrated four monocular, wide-angle, fisheye cameras on a consumer car and implemented a mapping and localization pipeline. Visual features and...
Camera-based estimation of drivable image areas is still in evolution. These systems have been developed for improved safety and convenience, without the need to adapt itself to the environment. Machine Vision is an important tool to identify the region that includes the road in images. Road detection is the major task of autonomous vehicle guidance. In this way, this work proposes a drivable region...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.