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Open AccessArticle

A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking

by Dawar Khan 1,*, Sehat Ullah 2 and Syed Nabi 2
1
Interactive Media Design Lab, Nara Institute of Science and Technology, Nara 630-0192, Japan
2
Department of Computer Science and IT, University of Malakand, Chakdara 18800, Pakistan
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(24), 3052; https://doi.org/10.3390/rs11243052
Received: 7 November 2019 / Revised: 11 December 2019 / Accepted: 12 December 2019 / Published: 17 December 2019
Indoor navigation and localization has gained a key attention of the researchers in the recent decades. Various technologies such as WiFi, Bluetooth, Ultra Wideband (UWB), and Radio-frequency identification (RFID) have been used for indoor navigation and localization. However, most of these existing methods often fail in providing a reasonable solution to the key challenges such as implementation cost, accuracy and extendibility. In this paper, we proposed a low-cost, and extendable framework for indoor navigation. We used simple markers printed on the paper, and placed on ceilings of the building. These markers are detected by a smartphone’s camera, and the audio and visual information associated with these markers are used as a user guidance. The system finds shortest path between any two arbitrary nodes for user navigation. In addition, it is extendable having the capability to cover new sections by installing new nodes at any place in the building. The system can be used for guidance of the blind people, tourists and new visitors in an indoor environment. The evaluation results reveal that the proposed system can guide users toward their destination in an efficient and accurate manner. View Full-Text
Keywords: augmented reality; indoor navigation; automatic path generation; marker tracking augmented reality; indoor navigation; automatic path generation; marker tracking
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MDPI and ACS Style

Khan, D.; Ullah, S.; Nabi, S. A Generic Approach toward Indoor Navigation and Pathfinding with Robust Marker Tracking. Remote Sens. 2019, 11, 3052.

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