In-Vehicle Augmented Reality Traffic Information System: A New Type of Communication Between Driver and Vehicle

Abdi, Lotfi; Abdallah, Faten Ben; Meddeb, Aref

doi:10.1016/j.procs.2015.12.024

Cited by 45 publications

(24 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Augmented reality-extended humans refers to humans, who can see, hear, perhaps touch, smell and taste more than the non-extended ones by receiving extra information through augmented reality (Krevelen and Poelman 2010). For example in transport system, additional information regarding surrounding environment can be displayed on the windshield of the car to extend driver capabilities in driving safely (Abdi, Abdallah, and Meddeb 2015).…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality-extended Humans: Towards a Taxonomy of Failures – Focus on Visual Technologies

Bahaei¹,

Gallina²

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

View full text Add to dashboard Cite

Augmented reality, e.g. immersive visual technologies, augment the human's capabilities. If not properly designed, such augmentation may contribute to the decrease of the human's awareness (e.g., due to distraction) and reaction time efficiency, leading to catastrophic consequences, when included within safety-critical socio-technical systems. Current state-of-the-art taxonomies and vocabularies on human failures do not consider the augmented realityextended humans. In this paper, first, we review, harmonize and systematically organize the existing human failure taxonomies and vocabularies. More specifically, we consider the existing taxonomies as a product line and propose a feature diagram (visual specification of product lines), which includes the human's functions and the potential failures of those functions, and where commonalities and variabilities represent the evolution over time. Then, to deal with immersive visual technologies, we make the diagram evolve by including additional features. Our feature diagram-given taxonomies of taxonomies may serve as the foundation for failure logic-based analysis of imagecentric socio-technical systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Augmented Reality-extended Humans: Towards a Taxonomy of Failures – Focus on Visual Technologies

Bahaei¹,

Gallina²

2019

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

View full text Add to dashboard Cite

show abstract

“…In the last years, the automobile driving has become an important part of daily life and the use of them as primary mode of transportation has been increasing. According to [1], the road safety has become a key challenge for industry and society due to the fact that the global volume of traffic has increased around one billion vehicles. Also, the authors highlight that "more than 80% of vehicle accidents are caused by driver error".…”

Section: Introductionmentioning

confidence: 99%

The Prototype of a Traffic Signs Recognition System Using Mobile Augmented Reality

Diță¹,

Enăchescu²

2019

Proceedings of the 18th International Conference on INFORMATICS in ECONOMY Education, Research and Business Technologies

View full text Add to dashboard Cite

In this paper is proposed a traffic signs recognition prototype based on template matching approach of the 3D Registration technique in order to make use of the benefits provided by mobile augmented reality. The proposed solution finds speed traffic signs, extracted from a mobile device camera used in real environment, and uses them as AR markers to augment the virtual elements. This information is meant to help the driver during driving process by giving him various audio or visual indications via his mobile device. As one of the top three causes of road accidents is the distracted driving, usually caused by the driver talking on the mobile phone or sending a text message, including the audio component that gives signals when the road signs are not observed is useful. We proposed an ontology to attach some knowledge to each traffic sign, to guide its interpretation. Nevertheless, the performance of the prototype is affected by several factors, such as: video source, lighting conditions, occlusion, chaotic background and viewing angle, deterioration and deformations of the traffic signs etc. In order to reduce the negative effects of above factors is necessary to use the following methods: image resizing, grayscale transformation, median blur, Hough transformation. In the first part of the research we focused on describing the architecture of the prototype and the components of the OpenCV library, which are integrated in the current solution. In the second phase, we highlighted the most common issues that affect the performance of the application.

show abstract

“…In addition, the use of augmented reality for the management and monitoring of telecommunication networks is a special interest [3,4]. Also, augmented reality is used to analyze traffic flows in the Vehicular Ad-hoc networks (VANET) [5,6,21] and other transport networks to detect congestions [7,8]. There are a few applications that allow user to manage various engines and devices [9], informing drivers about the rod situation [10], and control the UAVs [11].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Traffic Pattern for the Augmented Reality Applications

Makolkina

Koucheryavy

Paramonov

2017

Lecture Notes in Computer Science

View full text Add to dashboard Cite

In this article, the interaction between augmented reality and flying ubiquitous sensor networks (FUSN) technologies is investigated Such modern applications require development of the new traffic patterns, which can be used to establish a new approach to the further Quality of Experience assurance and estimation. The proposed new traffic pattern captures service space model, model of an environment of the user and behavior model.

show abstract

In-Vehicle Augmented Reality Traffic Information System: A New Type of Communication Between Driver and Vehicle

Cited by 45 publications

References 6 publications

Augmented Reality-extended Humans: Towards a Taxonomy of Failures – Focus on Visual Technologies

Augmented Reality-extended Humans: Towards a Taxonomy of Failures – Focus on Visual Technologies

The Prototype of a Traffic Signs Recognition System Using Mobile Augmented Reality

Investigation of Traffic Pattern for the Augmented Reality Applications

Contact Info

Product

Resources

About