A realistic evaluation and comparison of indoor location technologies

Lymberopoulos, Dimitrios; Liu, Jie; Yang, Xue; Choudhury, Romit Roy; Handziski, Vlado; Sen, Souvik

doi:10.1145/2737095.2737726

Cited by 308 publications

(195 citation statements)

References 40 publications

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“…In 2013, the FCC Communications Security, Reliability and Interoperability Council (CSRIC) documented several emerging indoor location technologies [3] and reported extensive accuracy results of a number of commercial systems during localization of more than 13,400 test E911 calls across 19 buildings [4]. The great interest in performance evaluation of indoor localization systems under real-life conditions is also evident from newly released standards [5] and related competitions, including the Microsoft Indoor Localization Competition [6], [7], the EvAAL contest for evaluating Ambient and Assisted Living (AAL) systems through competitive benchmarking [8], [9], and most recently PerfLoc competition for smartphone indoor localization applications announced by the U.S.A. National Institute of Standards and Technology (NIST) [10].…”

mentioning

confidence: 99%

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

369

171

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Abstract-Location information for events, assets, and individuals, mostly focusing on two dimensions so far, has triggered a multitude of applications across different verticals, such as consumer, networking, industrial, health care, public safety, and emergency response use cases. To fully exploit the potential of location awareness and enable new advanced location-based services, localization algorithms need to be combined with complementary technologies including accurate height estimation, i.e., three dimensional location, reliable user mobility classification, and efficient indoor mapping solutions. This survey provides a comprehensive review of such enabling technologies. In particular, we present cellular localization systems including recent results on 5G localization, and solutions based on Wireless Local Area Networks (WLAN), highlighting those that are capable of computing 3D location in multi-floor indoor environments. We overview range-free localization schemes, which have been traditionally explored in Wireless Sensor Networks (WSN) and are nowadays gaining attention for several envisioned Internet of Things (IoT) applications. We also present user mobility estimation techniques, particularly those applicable in cellular networks, that can improve localization and tracking accuracy. Regarding the mapping of physical space inside buildings for aiding tracking and navigation applications, we study recent advances and focus on smartphone-based indoor Simultaneous Localization and Mapping (SLAM) approaches.The survey concludes with service availability and system scalability considerations, as well as security and privacy concerns in location architectures, discusses the technology roadmap, and identifies future research directions.

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mentioning

confidence: 99%

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

369

171

View full text Add to dashboard Cite

show abstract

“…Lessons learned during the 2014 IPSN / Microsoft Indoor Localization Competition are reported in [2]. The competition used one scenario to evaluate a broad set of solutions, including RF, magnetic, light, and ultrasound-based systems.…”

Section: A Indoor Localization Competitionsmentioning

confidence: 99%

“…These sensors are light, pressure, accelerometer / gyroscope, magnetometer, and step detector (see [2] and the references therein). We have grouped the accelerometer and gyroscope together, because the numbers of readings from these sensors were always within one of each other.…”

Section: A Synopsis Of the Collected Datamentioning

confidence: 99%

PerfLoc (Part 1): An extensive data repository for development of smartphone indoor localization apps

Moayeri

Ergin

Lemić

et al. 2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-This paper describes a major effort to collect smartphone data useful for indoor localization. Data has been collected with four Android phones according to numerous scenarios in each of four large buildings. The data includes time-stamped traces of various environmental, position, and motion sensors available on a smartphone, Wi-Fi and cellular signal strengths, and GPS fixes, whenever available. Quantitative evidence is presented to validate the collected data and attest to its quality. This unique, extensive data repository is made available to the R&D community through the PerfLoc web portal to facilitate development of smartphone indoor localization apps and to enable performance evaluation of such apps according to the ISO/IEC 18305 international standard in the near future.

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“…One of the core requirements of effective Indoor Positioning is the capability for real-time positioning. Many studies look at Indoor Positioning that works over Wi-Fi or similar systems, but few of them focus on the need for real-time positioning: people move constantly, and waiting at a certain spot for anything up to several minutes to get a position is not convenient for the user (Lymberopoulos et al, 2015).…”

Section: This Is Kate and Kate Is In A Panic She Is In A Big Subwaymentioning

confidence: 99%

Indoor Positioning: Opportunities and implementation strategies of Bluetooth Low Energy

Feil¹

2016

giforum

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We spend 90% of our time indoors. Buildings became larger and more complex (international airports, subway stations, shopping malls or hospitals for example). Our behaviour has changed. Given the possibilities of ubiquitous technology, we are used to finding out what our position is whenever we want -so far almost exclusively outdoors, however. We have little data on where and how people move indoors. There are various technologies for Indoor Positioning, but none of them dominates the market because of the very different requirements of the large range of applications. With Bluetooth Low Energy (BLE or Bluetooth Smart), a new technology has entered the market, and using it for Indoor Positioning is currently at the forefront of developments. Common positioning methods based on BLE include lateration, angulation, fingerprinting and proximity solutions. Most of them are based on the Received Signal Strength Indicator (RSSI). The RSSI correlates with the distance between transmitter and receiver antenna. However, the link is not as continuous as mathematical models suggest. The RSSI is influenced by many variables, some of which can be controlled and others not. This paper sums up general BLE positioning methods and the challenges they face with RSSI. Keywords:Indoor Positioning, Bluetooth Low Energy, Received Signal Strength Indicator, beacon

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A realistic evaluation and comparison of indoor location technologies

Cited by 308 publications

References 40 publications

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

PerfLoc (Part 1): An extensive data repository for development of smartphone indoor localization apps

Indoor Positioning: Opportunities and implementation strategies of Bluetooth Low Energy

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