Adopted image matching techniques for aiding indoor navigation

Ramadan, Mohamed M.; Tokhey, Mohamed El; Ragab, Ayman; Fath-Allah, Tamer; Ragheb, Ahmed E.

doi:10.1016/j.asej.2021.04.029

Cited by 7 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SIFT algorithm was slow, and advanced applications required a faster version. The speeded-up robust features (SURF) algorithm is dependent on the principles as the SIFT, but with some approximations to execute the method much faster [36]. Similar to the SIFT, this technique is scale-invariant and rotation-invariant.…”

Section: Methodsmentioning

confidence: 99%

Survey of indoor tracking systems using augmented reality

Shewail

Elsayed²,

Zayed³

2023

IJ-AI

View full text Add to dashboard Cite

<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>

show abstract

Section: Methodsmentioning

confidence: 99%