3D augmented reality mobile navigation system supporting indoor positioning function

Wang, Ching-Sheng; Chiang, Ding-Jung; Ho, Yi-Yun

doi:10.1109/cyberneticscom.2012.6381618

Cited by 11 publications

(8 citation statements)

References 2 publications

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“…Activity-based instructions technique selects information points in the building and shows info depending on the activities of the user [21]. Some researchers suggested hybrid navigation system that use RFID and markerless augmented reality [30]. All the previous mentioned systems use positioning techniques other than Wi-Fi fingerprinting which we have used in IN-SAR.…”

Section: Augmented Realitymentioning

confidence: 98%

Insar

Alnabhan

Tomaszewski

2014

Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness - ISA '14

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Indoor navigation applications for mobile devices are being more common and needed for people who want to find inside building destinations. Many indoor navigation applications utilize different technologies, such as Wi-Fi fingerprinting, have been suggested. Most of these applications use a fixed background map and pre-calculated paths to lead the user to their destinations. Users of these systems need general map reading skills and understanding how specifically indoor maps work. In addition, these system types need to implement complex and accurate calculations to determine routing paths before navigation starts -which could be affected by unstable Wi-Fi signals. In this paper, we suggest INSAR or Indoor Navigation System Using Augmented Reality, which utilizes Wi-Fi fingerprinting, augmented reality (AR), and digital compass technologies in an integrated Android-based app. Specifically, we used a Wi-Fi fingerprinting method to determine user position, augmented reality to display real-time navigation information, and a compass to determine destination direction. Additionally, digital compass use to read the destination direction of each reference point (RP) helps direct the users "on the fly" thus reducing potential Wi-Fi signal instability effects.

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Section: Augmented Realitymentioning

confidence: 98%

Insar

Alnabhan

Tomaszewski

2014

Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness - ISA '14

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“…Using the FOVPath approach, the display of a trajectory depended on the user's position and orientation and also on the Field Of View (FOV) capabilities of the device. Wang et al [46] described the development of a 3D augmented reality mobile navigation system that provided indoor localization based on Radio-Frequency Identification (RFID) readings and computer vision. They created 3D representations of internal and external structures of Oxford College, from the present and the past.…”

Section: Augmented Realitymentioning

confidence: 99%

A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

Morar

Moldoveanu

Mocanu

et al. 2020

Sensors

112

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Computer vision based indoor localization methods use either an infrastructure of static cameras to track mobile entities (e.g., people, robots) or cameras attached to the mobile entities. Methods in the first category employ object tracking, while the others map images from mobile cameras with images acquired during a configuration stage or extracted from 3D reconstructed models of the space. This paper offers an overview of the computer vision based indoor localization domain, presenting application areas, commercial tools, existing benchmarks, and other reviews. It provides a survey of indoor localization research solutions, proposing a new classification based on the configuration stage (use of known environment data), sensing devices, type of detected elements, and localization method. It groups 70 of the most recent and relevant image based indoor localization methods according to the proposed classification and discusses their advantages and drawbacks. It highlights localization methods that also offer orientation information, as this is required by an increasing number of applications of indoor localization (e.g., augmented reality).

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“…Augmented Reality (Azuma & Azuma, 1997)merupakan teknologi yang mampu menggabungkan objek maya dua dimesi ataupun tiga dimensi ke dalam sebuah lingkungan nyata dan dihadirkan dengan (real time). Teknologi ini merupakan salah satu teknologi yang menarik sekaligus mudah dipahami oleh siswa dalam proses belajarnya (Fendi Aji Purnomo, Santoso, & Hartanto, 2017;C. Wang, 2012) Wang, Shen, Ong, & Nee, 2009).…”

Section: Pendahuluanunclassified

“…Penelitian yang membuat aplikasi multimedia interaktif menggunakan teknologi AR (Ajanki et al, 2011) (C. Wang, 2012 (Lin, Wang, & Liu, 2008) dan VR (Ahmad et al, 2017) (Silva, Oliveira, & Giraldi, n.d.) (Prayudha et al, 2017) dalam mengenalkan materi tata surya. Tahap pembuatan aplikasi dilakukan dengan menggunakan metode Multimedia Development Life Cycle (MDLC) yang terdiri dari tahap konsep, desain, material collecting, assembly, testing dan distribution (Luther, 1994 marker cetak untuk memunculkan objek virtual baik 2D maupun 3D.…”

Section: Metode Penelitianunclassified

Evaluasi Media Pembelajaran Interaktif Pengenalan Tata Surya dengan Teknologi Augmented Reality dan Virtual Reality

et al. 2020

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The solar system is something that is learned but cannot be seen directly by students. Planet props available in laboratory are also very limited and presented in conventional models so that students are less interested in learning further with the existing planetary models. This study aims to evaluate the results of making astronomy learning media applications with Augmented Reality and Virtual Reality technology. This application is designed and developed using the MDLC method, namely concept, design, material collecting, assembly, testing and distribution stages. This interactive media is packaged using Augmented Reality and Virtual Reality technology which are presented in interactive catalog. This study have created the Android-based learning media of the Milky Way Galaxy Planet System. The material is presented in form of discussion about the Solar System that is taught in Middle School. This application can be run optimally with Quadcore 1.5 Ghz device specifications which has 3 GB RAM and gyro sensor. The assessment results from junior high school students on Design and Information Aspects get a Very Good and Very Good grades of 100%, then Navigation Aspects scores of 99.9%.

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3D augmented reality mobile navigation system supporting indoor positioning function

Cited by 11 publications

References 2 publications

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A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

Evaluasi Media Pembelajaran Interaktif Pengenalan Tata Surya dengan Teknologi Augmented Reality dan Virtual Reality

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