Real-time system for indoor user localization and navigation using bluetooth beacons

Gorovyi, Ievgen M.; Roenko, Alexey; Pitertsev, A.A.; Chervonyak, Ievgen; Vovk, Vitalii

doi:10.1109/ukrcon.2017.8100406

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…This approach gives errors at 2m to 4m of distance on position. In [4], another approach of indoor navigation using Bluetooth beacons is proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

QR Code based Indoor Navigation system for Attender Robot

Sneha¹,

Teja²,

Mishra³

et al. 2020

EAI Endorsed Trans IoT

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In this paper, we elicit a cost-effective design of a robot that is used to perform the tasks of the attender, a wheeled mobile robot. The two main challenging aspects of mobile robotics are to achieve localization and navigation. Localization determines the location of the robot with respect to its environment. Navigation is the movement of the robot from one location to the other. Here, the unique design and representation of the QR code helped us to localize and navigate the robot. A raspberry pi mounted with a camera is used to interface with the robot. The triangulation method is used to localize the robot. Dijkstra's algorithm is used to compute the shortest path from source to destination. The system is monitored tested based on the feedback system established by the Hologram cellular USB modem. Experimental results show that this approach has good feasibility and effectiveness. The robot navigates through the shortest path, performs specified tasks, and returns to its source.

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“…This approach gives errors at 2m to 4m of distance on position. In [4], another approach of indoor navigation using Bluetooth beacons is proposed.…”

Section: Literature Reviewmentioning

confidence: 99%

QR Code based Indoor Navigation system for Attender Robot

Sneha¹,

Teja²,

Mishra³

et al. 2020

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

show abstract

“…Work of Gorovyi et al [7] shows the application of beacons for real-time users positioning based on trilateration calculation using Received Signal Strength Indicator (RSSI) values from three or more beacons. Performed accuracy test showed The Bluetooth technology used for indoor localization is often combined with utilization of other sensors to improve the accuracy of the navigation in an indoor environment (Accelerometer, Barometric sensor).…”

Section: B Bluetooth Localizationmentioning

confidence: 99%

“…The route itinerary contains detailed navigation instructions for each segment of the route, which consists of a description of the surrounding environment and action to be performed by the user. Construction of navigation instructions is based on the sidewalk-based GIS 7 for outdoor environments [13], template system for public transport stops and stations and environment transitions (e.g., from outdoor to indoor) [15] and landmarkenhanced navigation instructions for indoor [14]. Navigation instructions are stored in the navigation application in the graph data structure (see Fig.…”

Section: A Route Itinerarymentioning

confidence: 99%

Optimizing the Number of Bluetooth Beacons with Proximity Approach at Decision Points for Intermodal Navigation of Blind Pedestrians

Berka

Balata

Mikovec

2018

Annals of Computer Science and Information Systems

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Navigation in urban environments is very challenging for blind pedestrians. Although many navigation approaches using various principles or sensors to help visually impaired people exists nowadays they still have problems to navigate in complex buildings, find entrances to buildings or to navigate to correct public transport stops. Current solutions use a large number of sensor that needs to be installed in the environment needed to track every single move of the user. We present a solution to reduce the number of installed sensors by using previously developed set of landmark-enhanced navigation instructions allowing us to lower the necessary number of Bluetooth beacons by using them only for proximity notification at indoor decision points, indicating public transport station and entrances. The evaluation in the field study (N = 8) suggests a good potential of the approach, especially in terms of usability, recovery from going astray and beacon deployment cost. Further, we provide guidance on beacons placement in the environment.

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“…Over the past decades, numerous approaches for IPSs have been proposed based on a variety of RF-based communication technologies such as Cellular (GSM/GPRS) [1], RFID [2], Bluetooth [3], Wi-Fi [4], Zigbee [5], UWB [6] and LoRaWAN [7]. Table I summarizes technological specification of communication technologies for IPSs.…”

Section: Introductionmentioning

confidence: 99%

Intelligent RF-Based Indoor Localization through RSSI of LoRa Communication Technology

Muekdang¹,

San-Um²

2018

IJFCC

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Requirements on high-quality indoor localization approaches and the increase in ubiquitous computing and context-dependent have led to an emphasis on a continuous search for promising localization technologies and techniques. Typical RF-Based localization technologies such as Cellular, RFID, Bluetooth, Wi-Fi, Zigbee, and UWB have been widespread studied over the past decades. Recently, LoRa communication technology has suggested as a potential alternative to those of exiting wireless communication standards with low power consumption and low implementation costs. This paper therefore presents an indoor localization technique through the use of Received Signal Strength Indicator (RSSI) of LoRa Technology. The LoRa chip from SEMTECH was implemented on a compact board with built-in antenna. The Arduino microcontroller was employed as a core processor with a step-down switching regulator. Five sets of LoRa nodes were implemented and four of which were utilized as statistic nodes, radiating a signal power from 5meter high from the floor. The receiving node is placed in a particular coordinate on the floor. The RSS values were employed as inputs for Artificial Neural Network (ANN) for estimation of the coordinate of the receiving node. The accuracy was approximately 95%. The result provides satisfactory accuracy with cost-effective and low-power operation as for an alternative for large scales deployments of indoor localization.

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Real-time system for indoor user localization and navigation using bluetooth beacons

Cited by 14 publications

References 6 publications

QR Code based Indoor Navigation system for Attender Robot

QR Code based Indoor Navigation system for Attender Robot

Optimizing the Number of Bluetooth Beacons with Proximity Approach at Decision Points for Intermodal Navigation of Blind Pedestrians

Intelligent RF-Based Indoor Localization through RSSI of LoRa Communication Technology

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