Mobile Augmented Reality Survey: From Where We Are to Where We Go

By Dimitris Chatzopoulos, Carlos Bermejo, Zhanpeng Huang, Pan Hui. IEEE Access, 2017

409 citations recorded by the source corpus.

The boom in the capabilities and features of mobile devices, like smartphones, tablets, and wearables, combined with the ubiquitous and affordable Internet access and the advances in the areas of cooperative networking, computer vision, and mobile cloud computing transformed mobile augmented reality (MAR) from science fiction to a reality. Although mobile devices are more constrained computationalwise from traditional computers, they have a multitude of sensors that can be used to the development of more sophisticated MAR applications and can be assisted from remote servers for the execution of their intensive parts. In this paper, after introducing the reader to the basics of MAR, we present a categorization of the application fields together with some representative examples. Next, we introduce the reader to the user interface and experience in MAR applications and continue with the core system components of the MAR systems. After that, we discuss advances in tracking and registration, since their functionality is crucial to any MAR application and the network connectivity of the devices that run MAR applications together with its importance to the performance of the application. We continue with the importance of data management in MAR systems and the systems performance and sustainability, and before we conclude this survey, we present existing challenging problems.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/f6cae90d4ae252cba7615e77da3407b198d0754b

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Citations in the corpus

Augmented reality technology in the manufacturing industry: A review of the last decade (2019, background): “MAR systems make use of one or more of the following tracking technologies: digital cameras and/or other optical sensors, accelerometers, GPS, gyroscopes, solid state compasses, RFID and wireless sensors (Chatzopoulos et al ., 2013).”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, methodology): “A survey on MAR [5] in 2017 presented details on more recent applications ﬁelds, core components of a MAR system, advances in tracking and registration, network connectivity and its importance to performance, and the present challenging problems.”
Revisiting Trends in Augmented Reality Research: A Review of the 2nd Decade of ISMAR (2008–2017) (2018, background): “Some of them targeted specific application domains, such as medical [24], education [9], AR browser [41], while the others generally included a broader scope of AR applications [18, 76], covering mobile AR applications [22].”
Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks (2018, background): “The performance requirements of these consumer devices have increased dramatically every year to support emerging applications such as 4K video streaming and recording [154], virtual reality (VR) [87], and augmented reality (AR) [6, 18, 60, 93].”
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research (2018, background): “(ADAS) 100–250 μs few μs Power Train, Chassis Control < 10μs few μs Traffic Efficiency & Safety < 5 ms few μs Infotainment [57] Augmented Reality 7–20 ms few μs Prof.”