Indoor Positioning

Caron, Claude; Chamberland-Tremblay, Daniel; Lapierre, Cédric; Hadaya, Pierre; Roche, Stéphane; Saada, Mokhtar

doi:10.1007/978-3-319-23519-6_626-2

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…2c. The disturbances that can cause this were found to be: propagation lobes, interference by the reflection of the signal in the environment, the presence of other signals in the 2.4GHz spectrum, or other objects that obstruct the signal (Seybold, 2005;Svečko et al, 2015;Szabo, 2015;Kushki et al, 2008;Caron et al, 2008). The LD model could be expanded with this, but the susceptibility to environmental disturbances would lead to a confounding element between bearing and range which could be detrimental to the convergence of the fusion filter.…”

Section: Signal Strength As a Range Measurementmentioning

confidence: 99%

On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams

et al. 2018

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To avoid collisions, Micro Air Vehicles (MAVs) flying in teams require estimates of their relative locations, preferably with minimal mass and processing burden. We present a relative localization method where MAVs need only to communicate with each other using their wireless transceiver. The MAVs exchange on-board states (velocity, height, orientation) while the signal strength indicates range. Fusing these quantities provides a relative location estimate. We used this for collision avoidance in tight areas, testing with up to three AR.Drones in a 4 m × 4 m area and with two miniature drones (≈ 50 g) in a 2 m × 2 m area. The MAVs could localize each other and fly several minutes without collisions. In our implementation, MAVs communicated using Bluetooth antennas. The results were robust to the high noise and disturbances in signal strength. They could improve further by using transceivers with more accurate signal strength readings.

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Section: Signal Strength As a Range Measurementmentioning

confidence: 99%

On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams

et al. 2018

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“…(3) Indoor positioning: studies using this type of technique to track an individual’s movement (Youssef, 2015); estimating the location of target objects from observation of data collected by a set of sensing devices or sensors (Caron et al, 2008; Kanaan et al, 2008; Yang & Li, 2008); and location-based service studies using geographic data to provide information to users, supporting additional information related to that location such as a point of interest or a street address (Francica, 2008).…”

Section: Methodsmentioning

confidence: 99%

“…(2) Indoor geospatial analysis: studies using spatial analysis methods to find patterns or detect anomalies, and test hypotheses and theories (Goodchild, 2008(Goodchild, , 2009a within indoor environments; and visualization technique studies to comprehend and study several features and dynamics occurring within complex indoor spaces (Yuan, 2008). (3) Indoor positioning: studies using this type of technique to track an individual's movement (Youssef, 2015); estimating the location of target objects from observation of data collected by a set of sensing devices or sensors (Caron et al, 2008;Kanaan et al, 2008;Yang & Li, 2008); and location-based service studies using geographic data to provide information to users, supporting additional information related to that location such as a point of interest or a street address (Francica, 2008). (4) Indoor data acquisition: studies about indoor data collection and modeling (including automatic extraction techniques (Heipke, 2008), or information acquirement through Wi-Fi, GPS, automata cellular data, and sensors (Kalogeraki & Soheili, 2008;Rolf, 2001)); and studies using the human-robot interaction approach to enlarge the semantic information related to indoor GIS.…”

Section: Data Extraction and Subgroup Criteriamentioning

confidence: 99%

Indoor Environments and Geographical Information Systems: A Systematic Literature Review

et al. 2021

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The increasing dissemination of geographic information systems (GIS) in recent years has broadened the availability and use of geospatial tools, mostly to analyze the spatial data of different territories. A territory can be viewed at different analysis scales, and some buildings are as complex as small cities, presenting the opportunity to use GIS to study the dynamics, patterns, and phenomena within a building. This study presents a systematic literature review of the relevant evidence focused on the utilization of GIS in indoor spaces. To this end, we searched in three scientific libraries following the PRISMA statement guidelines. All phases were analyzed independently by two of the authors and agreement between them calculated through the Kappa statistic. In total, 50 studies were included. A qualitative synthesis was performed, considering the assessment of data and heterogeneity of methodologies within the included articles. Subsequently, the studies were categorized into five groups: indoor management, indoor geospatial analysis, indoor positioning, indoor data acquisition, and indoor spatial data models. The results demonstrate that research on the use of GIS in indoor spaces is still emerging, despite its great potential to help and GIS users, data producers, researchers, or policymakers to improve their work, providing scientific evidence for decision support.

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“…Obtaining accurate indoor localisation is a challenging task particularly because of the multitude of obstacles in the environment, as well as reflection and refraction that affect computations (Miao et al, 2018). This has led to significant progress in creating solutions for employing other types of technologies for indoors, such as Wi-Fi, Bluetooth, Global System for Mobile communications (GSM), Radio Frequency Identification, ultra wide band, acoustics and optics (Ta, 2017;Lymberopoulos et al, 2015;Xiao and Zhou, 2016;Caron et al, 2017).…”

Section: Related Workmentioning

confidence: 99%

Intelligent Luminaire based Real-time Indoor Positioning for Assisted Living

Marin¹,

Bocicor²,

Molnar³

2020

Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering

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This paper presents an experimental evaluation on the accuracy of indoor localisation. The research was carried out as part of a European Union project targeting the creation of ICT solutions for older adult care. Current expectation is that advances in technology will supplement the human workforce required for older adult care, improve their quality of life and decrease healthcare expenditure. The proposed approach is implemented in the form of a configurable cyber-physical system that enables indoor localization and monitoring of older adults living at home or in residential buildings. Hardware consists of custom developed luminaires with sensing, communication and processing capabilities. They replace the existing lighting infrastructure, do not look out of place and are cost effective. The luminaires record the strength of a Bluetooth signal emitted by a wearable device equipped by the monitored user. The system's software server uses trilateration to calculate the person's location based on known luminaire placement and recorded signal strengths. However, multipath fading caused by the presence of walls, furniture and other objects introduces localisation errors. Our previous experiments showed that room-level accuracy can be achieved using software-based filtering for a stationary subject. Our current objective is to assess system accuracy in the context of a moving subject, and ascertain whether room-level localization is feasible in real time.

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Indoor Positioning

Cited by 3 publications

References 9 publications

On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams

On-board communication-based relative localization for collision avoidance in Micro Air Vehicle teams

Indoor Environments and Geographical Information Systems: A Systematic Literature Review

Intelligent Luminaire based Real-time Indoor Positioning for Assisted Living

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