GRHCSep 17, 2013

Mobile augmented reality survey: a bottom-up approach

arXiv:1309.4413v285 citations
Originality Synthesis-oriented
AI Analysis

This survey fills a gap for researchers and practitioners in mobile computing and AR by providing a comprehensive overview of MAR, though it is incremental as it synthesizes existing knowledge rather than presenting new methods.

The authors conducted a survey on Mobile Augmented Reality (MAR) to address the lack of dedicated surveys in this area, organizing it with a bottom-up approach covering system components, enabling technologies, performance improvements, applications, and future challenges.

Augmented Reality (AR) is becoming mobile. Mobile devices have many constraints but also rich new features that traditional desktop computers do not have. There are several survey papers on AR, but none is dedicated to Mobile Augmented Reality (MAR). Our work serves the purpose of closing this gap. The contents are organized with a bottom-up approach. We first present the state-of-the-art in system components including hardware platforms, software frameworks and display devices, follows with enabling technologies such as tracking and data management. We then survey the latest technologies and methods to improve run-time performance and energy efficiency for practical implementation. On top of these, we further introduce the application fields and several typical MAR applications. Finally we conclude the survey with several challenge problems, which are under exploration and require great research efforts in the future.

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