Design and Implement Augmented Reality for Supporting Driving Visual Guidance

Lin, Jan‐Yi; Lin, Cheng-Min; Dow, Chyi‐Ren; Wang, Cheng-Qian

doi:10.1109/ibica.2011.84

Cited by 14 publications

(3 citation statements)

References 6 publications

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“…Caching content at the MEC enabled 5G UDN [183] and MEC based AR processing is suitable in these use cases as the content is highly localized. E. Automotive 1) Use Cases AR-enhanced windshield [89], [90], projects vital information into the windshield such as navigation information, current speed, present speed limit and the best possible driving path. It aims to reduce the distractions and helps the driver to stay focused on the road.…”

Section: Smart City and Smart Home 1) Use Casesmentioning

confidence: 99%

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

Siriwardhana

Porambage

Liyanage

et al. 2021

IEEE Commun. Surv. Tutorials

453

108

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The Augmented Reality (AR) technology enhances the human perception of the world by combining the real environment with the virtual space. With the explosive growth of powerful, less expensive mobile devices, and the emergence of sophisticated communication infrastructure, Mobile Augmented Reality (MAR) applications are gaining increased popularity. MAR allows users to run AR applications on mobile devices with greater mobility and at a lower cost. The emerging 5G communication technologies act as critical enablers for future MAR applications to achieve ultra-low latency and extremely high data rates while Multi-access Edge Computing (MEC) brings enhanced computational power closer to the users to complement MAR. This paper extensively discusses the landscape of MAR through the past and its future prospects with respect to the 5G systems and complementary technology MEC. The paper especially provides an informative analysis of the network formation of current and future MAR systems in terms of cloud, edge, localized, and hybrid architectural options. The paper discusses key application areas for MAR and their future with the advent of 5G technologies. The paper also discusses the requirements and limitations of MAR technical aspects such as communication, mobility management, energy management, service offloading and migration, security, and privacy and analyzes the role of 5G technologies.

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Section: Smart City and Smart Home 1) Use Casesmentioning

confidence: 99%

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

Siriwardhana

Porambage

Liyanage

et al. 2021

IEEE Commun. Surv. Tutorials

453

108

View full text Add to dashboard Cite

show abstract

“…To achieve this goal, Augmented Reality (AR) with Head-Up Displays (HUDs) has attracted attention in the field of automotive research. Such AR-HUD systems have been studied to supporting driver visual guidance or providing lane-level guidance services [44], [45], [46], [47]. One of our previous efforts trying to fusion vision and cloud data to display surrounding vehicles' lane-change probability will be briefly introduced in this section.…”

Section: Establishing Driver Visual Guidance For Improved Safety and Efficiencymentioning

confidence: 99%

A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data

Liu¹,

Hansen

2021

IEEE Open J. Intell. Transp. Syst.

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Intelligent vehicles and Advanced Driver Assistance Systems (ADAS) are being developed rapidly over the past few years. Many applications such as vehicle localization, environment perception, and path planning have shown promising potentialities. While there is great interest in migrating from complete human-controlled vehicles towards fully autonomous vehicles, it is natural that researchers spending more effort trying to understand the interaction between vehicles with various levels of automation in large-scale traffic scenarios. Next-generation vehicles are expected to have the capacity of evaluating driver conditions, vehicle capabilities, surrounding traffic contexts, and take advantage of such knowledge to ensure safe and efficient driving. Three general research questions are raised to achieve this goal, which are (i) how can we acquire sufficient data, (ii) how to evaluate and understand driving behavior, and (iii) how to deliver information effectively to drivers. In this article, we present a review of previous studies from the UTDrive project attempts to answer above questions.

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“…During driving a car, drivers receive the information passed by HUD system and other assistance systems. But with more functionality, more and more information will be generated and make the driving environment very complicated; that makes it very difficult for the drivers to digest and respond to all of the information [10]. Therefore, researchers discussed the display elements and interface of HUD system.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Drivers' Attitude towards HUD System Using a Stated Preference Survey

Guo

Zhao

Wang

et al. 2014

Advances in Mechanical Engineering

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It is very important for drivers to obtain driving information easily and efficiently. There are many advanced devices used for driving safety assistance. Of these assistance devices, the head-up display (HUD) system can promote the reduction of driver's reaction time and improve spatial awareness. The drivers' attitude towards and preference for HUD system are crucial to design the functional framework and interface of HUD system. This study explored the relationships between drivers' attitude and HUD presentation image designs using stated preference data from questionnaire survey. The questionnaire included drivers' attitude towards the use of HUD and the preference for the information display zone and information display elements of the HUD. Contrastive analysis was adopted to examine the variations in drivers' attitude and preference for age and driving skills. According to the results, the participants have varying attitudes to HUD system, but most participants show relatively unified preference for the information display zone and information display elements. The results can also be used to customize a HUD presentation image which is in accordance with the drivers' feelings and preferences.

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Design and Implement Augmented Reality for Supporting Driving Visual Guidance

Cited by 14 publications

References 6 publications

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data

Analyzing Drivers' Attitude towards HUD System Using a Stated Preference Survey

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