Towards Personalized 3D Augmented Reality Windshield Displays in the Context of Automated Driving

Riegler, Andreas; Riener, Andreas; Holzmann, Clemens

doi:10.3389/ffutr.2022.810698

Cited by 5 publications

(2 citation statements)

References 67 publications

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“…Animated information should be used sparingly and only for critical information that requires immediate attention [73]. (e) Drivers have different preferences for how they want information presented to them [74]. Providing customization options for the size, colour, and placement of information can help drivers tailor the information to their preferences and reduce distraction.…”

Section: Visualization and Ar Renderingmentioning

confidence: 99%

Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness

Arvanitis,

Stagakis,

Zacharaki

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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Autonomous vehicles are expected to operate safely in real-life road conditions in the next years. Nevertheless, unanticipated events such as the existence of unexpected objects in the range of the road, can put safety at risk. The advancement of sensing and communication technologies and Internet of Things may facilitate the recognition of hazardous situations and information exchange in a cooperative driving scheme, providing new opportunities for the increase of collaborative situational awareness. Safe and unobtrusive visualization of the obtained information may nowadays be enabled through the adoption of novel Augmented Reality (AR) interfaces in the form of windshields. Motivated by these technological opportunities, we propose a saliency-based distributed, cooperative and rendering scheme for increasing the driver's situational awareness through (i) automated negative obstacle (potholes) detection, (ii) AR visualization and (iii) information sharing (upcoming potential dangers) with other connected vehicles or road infrastructure. An extensive evaluation study using a variety of real datasets for pothole detection showed that the proposed method provides favorable results and features compared to other recent and relevant approaches.

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Section: Visualization and Ar Renderingmentioning

confidence: 99%

Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness

Arvanitis,

Stagakis,

Zacharaki

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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“…This can be made possible with AR, since it enables the overlaying of virtual objects on real objects [121, 122]. The information to be displayed on the windshield could include speed level, fuel level, unsafe situations, or even warnings that the driver must adhere to [123]. As mentioned above, Metaverse allows users to access a real or virtual location.…”

Section: Metaverse In Data‐driven Intelligent Transportation Systemsmentioning

confidence: 99%

Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems

Njoku

Nwakanma

Amaizu

et al. 2022

IET Intelligent Trans Sys

131

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The Metaverse is a concept used to refer to a virtual world that exists in parallel to the physical world. It has grown from a conceptual level to having real applications in virtual reality games. The applicability of the Metaverse in numerous sectors like marketing, education, social, and even advertising exists. However, there exists little or no work on Metaverse applicability to the transportation industry. Data‐driven intelligent transportation systems (DDITS) aim to provide more intelligent systems based on exploiting data. This paper reviews the concepts and features of the Metaverse. Also, the review goes over three dominant DDITS challenges: vehicle fault detection and repair, testing new technologies, and anti‐theft systems. In addition, it highlights prospective Metaverse solutions that apply to the DDITS. Buttressing the utility of Metaverse in DDITS, this paper presents two major case studies: the invisible to visible (I2V) and the Metaverse on Wheels (MoW) technologies. Finally, the influence, limitations, and open issues of Metaverse applications to DDITS are discussed.

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Transparent CdSe/ZnS quantum-dot light-emitting diodes with WOx/Ag/WOx transparent electrodes achieving higher efficiency than opaque quantum-dot light-emitting diodes

Kim,

Lee

2024

Current Applied Physics

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Towards Personalized 3D Augmented Reality Windshield Displays in the Context of Automated Driving

Cited by 5 publications

References 67 publications

Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness

Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness

Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems

Transparent CdSe/ZnS quantum-dot light-emitting diodes with WOx/Ag/WOx transparent electrodes achieving higher efficiency than opaque quantum-dot light-emitting diodes

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