Indoor Localisation and Navigation on Augmented Reality Devices

Gupta, Gaurav; Kejriwal, Nishant; Pallav, Prasun; Hassan, Ehtesham; Kumar, Swagat; Hebbalaguppe, Ramya

doi:10.1109/ismar-adjunct.2016.0052

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…In that scenario, a location provider tool with adequate precision could be a significant aid. This tool could be applied in various indoor spaces, such as museums and art galleries (Gupta, et al, 2016).…”

Section: Figurementioning

confidence: 99%

Indoor localisation and location tracking in indoor facilities based on LiDAR point clouds and images of the ceilings

Dardavesis,

Verbree,

Rafiee

2023

AGILE GIScience Ser.

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Abstract. Localisation and navigation technologies have vastly evolved during the last years, facilitating users’ guidance in various environments. Unlike outdoor environments where GNSS comprises a universal solution, in indoor environments various localisation techniques have been used, each one with its drawbacks. Thus, this research investigates the reliability of the ceilings towards indoor localisation, by using components that are included in a simple mobile device. The choice of ceilings lies in their advantages, which include the incorporation of various characteristic components, as well as the absence of obstacles between them and the sensor. Indoor localisation is achieved based on LiDAR point clouds and images from RGB sensors of mobile devices. Additionally, this research involves location tracking of different users, to discover different movement patterns in an indoor facility. The proposed methodology revealed the robustness of the Coloured ICP algorithm for in-door localisation based on point clouds, both in terms of time efficiency and quality, while the combination of the SURF feature detector and SIFT descriptor provides the optimal indoor localisation results with image data. The proposed pipeline revealed encouraging results for use in emergencies, based on static data acquisition of a user, while it is also suitable for dynamic applications, in case a sensor is mounted on an automated device for indoor mapping operations. The captured point clouds of the ceilings can also be used as a reference to CAD and BIM models, to help the modelling of the existing utilities and their components in an indoor facility.

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Section: Figurementioning

confidence: 99%

Indoor localisation and location tracking in indoor facilities based on LiDAR point clouds and images of the ceilings

Dardavesis,

Verbree,

Rafiee

2023

AGILE GIScience Ser.

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“…The distraction compromises the attention of car driver which become a serious safety problem. While reviewing the literature, it was observed that there are many unfortunate accidents which occur because of driver distraction towards the navigation systems to ensure the correct way (Gupta et al, 2016). Navigation using traditional system is difficult at night time because it is difficult to find the specific location of the buildings or malls as it only gives the top view of the object.…”

Section: Related Researchmentioning

confidence: 99%

Section: Related Researchmentioning

confidence: 99%

Design and implementation of an augmented reality mobile application for navigating ATM counters (AR-ATM)

K.G.

Antony

Babu³

et al. 2022

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Purpose This paper aims to bring in augmented reality (AR) into navigation systems to rectify the issues mentioned. This paper proposes an AR enhanced navigation system for location automated teller machine (ATM) counters (AR-ATM) and branches of banks based on user’s choice. Upon selecting the ATM, the navigational path to the destination is drawn from the current location, thereby the user can reach the ATM through the optimal path. Design/methodology/approach Traditional navigation systems require users to map with the real world environment as and when required and also may lead to incorrect path due to minor difference in distance. The traditional navigation systems’ also does not take into consideration the ergonomics and safety of the user. Findings In this system, a camera lens is used, which is directed down the street at eye level and the application displays the location of ATMs and bank branches and also provides information about the locations like distance and time through the AR superimposed object. Originality/value The application also provides indoor navigation, especially in a multi-storeyed building. Experiments are performed on smartphones that support AR, and the results are promising with no lag in time frame of the real object and virtual object. To determine the factors that regulate the suggested AR tracking mechanism, a quantitative evaluation of the experimental data is also performed. The testing of implemented AR-ATM from the standpoint of end-users is undertaken to evaluate real-time usage comfortability, and the results have been determined to be extremely satisfactory.

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“…The demands of indoor position sensing arise in various applications, such as human guiding [2], public security [3], classified advertisements [4], valuables monitoring [5], emergency rescue [6], underground parking [7] and augmented reality [8]. Researchers have investigated a wide variety of wireless signals with different physical properties or protocols for indoor position sensing, including infrared signals [9], ultrasound signals [10], and radio signals such as the Bluetooth [11], radio frequency identification (RFID) signals [12], ultra-wideband (UWB) signals [13], and Wi-Fi signals.…”

Section: Introductionmentioning

confidence: 99%

A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation

Xie

Jiang

Zhao

et al. 2019

Sensors

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Wi-Fi-based indoor position sensing solutions have the advantages of easy integration in mobile phones and low cost by using existing Wi-Fi access points. The mainstream methods are commonly based on the received signal strength indicator (RSSI), which suffers from multipath interference in complicated indoor environments. Through the in-depth analysis of the multipath interference, an RSSI-assisted time difference of arrival (TDoA) method is proposed for Wi-Fi-based indoor position sensing in this work. The key idea is to compensate for the multipath interference in the received signals based on the coarse estimation using RSSI and TDoA calculation. A prototype system has been implemented to validate the proposed method. Experimental results have demonstrated the effectiveness of the proposed method, especially for handling the multipath interference with small propagation delay difference. Experimental results show that the indoor position sensing system can achieve a 90th percentile error of 0.3 m. The proposed method can also achieve moderate computational complexity and moderate real-time performance compared to other methods.

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Indoor Localisation and Navigation on Augmented Reality Devices

Cited by 9 publications

References 16 publications

Indoor localisation and location tracking in indoor facilities based on LiDAR point clouds and images of the ceilings

Indoor localisation and location tracking in indoor facilities based on LiDAR point clouds and images of the ceilings

Design and implementation of an augmented reality mobile application for navigating ATM counters (AR-ATM)

A Wi-Fi-Based Wireless Indoor Position Sensing System with Multipath Interference Mitigation

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