Indoor Navigation System Using Visual Positioning System with Augmented Reality

Yadav, Ravinder; Chugh, Himanika; Jain, Vandit; Baneriee, Prasenjit

doi:10.1109/icace.2018.8687111

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…In addition, the reference lists of all retrieved papers were reviewed to determine other relevant articles. The studies in this survey are organized into the following three groups: active tracking [17]- [19], passive tracking [20]- [22], and hybrid tracking [5], [23], [24].…”

Section: Methodsmentioning

confidence: 99%

“…After area markers are distinguished and perceived, the present area marker data is taken care of into the route planner algorithm to decide the virtual item shown on the marker, which depends on the bearing to be taken to the following marker area or last goal. According to Yadav et al [22], introduce technological development, increasing ease of use and reducing cost. In this paper, a laptop or a Raspberry Pi has been replaced by a smartphone with a rear camera.…”

Section: Passive Trackingmentioning

confidence: 99%

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Survey of indoor tracking systems using augmented reality

Shewail

Elsayed²,

Zayed³

2023

IJ-AI

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<p><span lang="EN-US">Augmented reality overlays virtual content on the physical world, displaying location-based information more efficiently. Tracking is a trace detail of the location recorded, either by taking a reading based on a set time interval, set distance, and change in direction by more than a certain angle, or a combination of these. Tracking is divided into two types, outdoor tracking, and indoor tracking. Augmented reality added value and information to tracking applications, whether indoor or outdoor. Recently, outdoor tracking by the global positioning system (GPS) became an essential component in navigation applications. However, indoor tracking is still challenging in the augmented reality field. Most augmented reality indoor tracking use optical and sensor-based tracking, such as markers, beacons, Raspberry Pi, and route planner modules for the building. With the technology enhancement, indoor tracking started to rely on WiFi, Bluetooth, geographic information system, radiofrequency identification, and sensor chip technologies. Our paper describes the recent augmented reality tracking techniques from 2011 to 2021. The paper compares image detection algorithms with various communication technologies, disscusing the advantages and the limitations of each technology.</span></p>

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Section: Methodsmentioning

confidence: 99%

Section: Passive Trackingmentioning

confidence: 99%

Survey of indoor tracking systems using augmented reality

Shewail

Elsayed²,

Zayed³

2023

IJ-AI

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“…Stereo matching, as a critical method, is used to understand real-world 3D information by simulating the human visual system. 3D information is important in applications such as autonomous driving, robot navigation and augmented reality [1][2] [3] .…”

Section: Introductionmentioning

confidence: 99%

Attention aggregation learning for fast stereo matching

Yan,

Li,

et al. 2024

Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)

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In the stereo matching domain, deep learning has advanced significantly in extracting features from raw data. However, the complex networks yielding highly accurate disparity maps entail substantial computational expenses and longer processing time. Achieving a balance between real-time processing and accuracy poses a persistent challenge. Hence, we designed the Attention Bilateral Grid Network (ABGNet), a fast network leveraging the Attention Aggregation Module (AAM) and bilateral grid upsampling. For our network, initial contextual information is first obtained through lowresolution 3D convolution. Then, guided by a bilateral grid, edge-preserving up-sampling is applied to the coarse disparity map. Finally utilizing comprehensive contextual data, attention aggregation further refines the disparity map. This network ensures high-speed processing while maintaining specified accuracy levels.

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A Comparative Study on the Use of Augmented Reality in Indoor Positioning Systems and Navigation

Dave

Dumre

2022

Intelligent Data Engineering and Analytics

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Indoor Navigation System Using Visual Positioning System with Augmented Reality

Cited by 9 publications

References 15 publications

Survey of indoor tracking systems using augmented reality

Survey of indoor tracking systems using augmented reality

Attention aggregation learning for fast stereo matching

A Comparative Study on the Use of Augmented Reality in Indoor Positioning Systems and Navigation

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