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Crowdsourcing-Based Fingerprinting for Indoor Location in Multi-Storey Buildings

Ricardo Santos, Ricardo Leonardo, Marilia Barandas, Dinis Moreira, Tiago Rocha, Pedro Alves, Joao P. Oliveira, Hugo Gamboa
2021 IEEE Access  
With only the floor plans as input, a demand for most applications, we apply a multimodal approach that joins inertial data, local magnetic field and Wi-Fi signals to construct highly accurate fingerprints  ...  This paper proposes an algorithm for the automatic construction of environmental fingerprints on multi-storey buildings, leveraging the information sources available in each scenario.  ...  To deal with multi-floor mappings, the initial distribution of particles across the floor plans accounts for the detected floor transitions from the first module.  ... 
doi:10.1109/access.2021.3060123 fatcat:7u5hvq62n5b7nh4izvefmdlvey

IPIN 2018 Ninth International Conference on Indoor Positioning and Indoor Navigation

2018 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
CROWd-SOuRCiNG RF PROFiLeS FOR STORe ViSiT CONFiRMATiON uSiNG SLAM A1.3.  ...  The proposed solution extends sensewhere's Simultaneous Localization And Mapping (SLAM) system employing "InStore" classification through crowd-sourcing of spatial features.  ...  Sundew -as any device-free localization system -requires a metric for comparison of feature vectors.  ... 
doi:10.1109/ipin.2018.8533737 fatcat:rv5zjhjytjaijcqgvvvpmbfjfa

Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking [article]

Leonid Antsfeld, Boris Chidlovskii, Emilio Sansano-Sansano
2020 arXiv   pre-print
We address the indoor localization problem, where the goal is to predict user's trajectory from the data collected by their smartphone, using inertial sensors such as accelerometer, gyroscope and magnetometer  ...  We test our pipeline on IPIN'19 Indoor Localization challenge dataset and demonstrate that it improves the winner's results by 20\% using the challenge evaluation protocol.  ...  To enable deployment of modern deep learning techniques, the problem of sizable annotations is usually addressed by crowd-sourcing, pseudo-labeling or semi-supervised learning able to combine unlabeled  ... 
arXiv:2011.10799v1 fatcat:kymqfyf32bavjgg3w7xd2wv6oa

Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances

Abdulrahman Alarifi, AbdulMalik Al-Salman, Mansour Alsaleh, Ahmad Alnafessah, Suheer Al-Hadhrami, Mai Al-Ammar, Hend Al-Khalifa
2016 Sensors  
In order to set the stage for this work, we provide a survey of the state-of-the-art technologies in indoor positioning, followed by a detailed comparative analysis of UWB positioning technologies.  ...  Ultra WideBand (UWB) is an emerging technology in the field of indoor positioning that has shown better performance compared to others.  ...  ., utilized prior knowledge of floor plan to improve positioning in multipath environment using the concept of equivalent Fisher information [103] .  ... 
doi:10.3390/s16050707 pmid:27196906 pmcid:PMC4883398 fatcat:ct33y4smbzbfhnytk57ji5siom

Molé: a scalable, user-generated WiFi positioning engine

Jonathan Ledlie, Jun-geun Park, Dorothy Curtis, André Cavalcante, Leonardo Camara, Afonso Costa, Robson Vieira
2012 Journal of Location Based Services  
We describe the design, implementation, and evaluation of Molé, a mobile organic localization engine. Unlike previous work on crowd-sourced WiFi positioning, Molé uses a hierarchical name space.  ...  By not relying on a map and by being more strict than uninterpreted names for places, Molé aims for a more flexible and scalable point in the design space of localization systems.  ...  Seth Teller, at MIT for their on-going collaboration and insights.  ... 
doi:10.1080/17489725.2012.692617 fatcat:thtpqdeldffdlojtpytzvxpzda

Multipath-assisted Radio Sensing and Occupancy Detection for Smart In-house Parking in ITS [article]

Jonas Ninnemann, Paul Schwarzbach, Oliver Michler
2022 arXiv   pre-print
For this, the CIR is smoothed and time-variant changes within it are detected by performing a background subtraction. Finally, the reflecting objects are mapped to individual parking lots.  ...  Joint, radio-based communication, localization and sensing is a rapidly emerging research field with various application potentials.  ...  Recently, radio-based localization and networking systems focusing on indoor parking have been developed [13], in order to provide cheap and retrofittable solutions for vehicular guidance, occupancy rate  ... 
arXiv:2201.06128v1 fatcat:x6ughnonpfcobatlnhjqer4qjy

A Meta-Review of Indoor Positioning Systems

Germán Martín Mendoza-Silva, Joaquín Torres-Sospedra, Joaquín Huerta
2019 Sensors  
An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor scenarios has been sought for many years.  ...  Such diversity, coupled with the lack of strict and verifiable evaluations, leads to difficulties for appreciating the true value of most proposals.  ...  [63] gives an introduction to indoor positioning and devote sections to (mainly WiFi) crowdsourcing, automatic construction of floor plans, self-deployable indoor positioning and navigation systems  ... 
doi:10.3390/s19204507 fatcat:nin6dirgcjbernymhx6dz4thqy

Indoor Localization Based on Infrared Angle of Arrival Sensor Network

Damir Arbula, Sandi Ljubic
2020 Sensors  
Accurate, inexpensive, and reliable real-time indoor localization holds the key to the full potential of the context-aware applications and location-based Internet of Things (IoT) services.  ...  State-of-the-art indoor localization systems are coping with the complex non-line-of-sight (NLOS) signal propagation which hinders the use of proven multiangulation and multilateration methods, as well  ...  This system uses real-time video camera-based optical character recognition (OCR) and building floor plan with a mapping of prominent signs locations, such as store logos above entrances.  ... 
doi:10.3390/s20216278 pmid:33158151 pmcid:PMC7663400 fatcat:7ghihpifwnhdhkliosyqoviplq

Using 3D Audio Guidance to Locate Indoor Static Objects

Samuel Sandberg, Calle Håkansson, Niklas Elmqvist, Philippas Tsigas, Fang Chen
2006 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
We present a study investigating the use of 3D audio for navigation and location of objects in an indoor environment.  ...  In order to conduct the study, a custom-made 3D audio system was built based on a public-domain HRTF-library to playback 3D sound beacons through a pair of headphones.  ...  We would also like to thank Ekahau Inc for the software license and The Regents of the University of California for the HRTF library.  ... 
doi:10.1177/154193120605001614 fatcat:yrhent2mz5ervit7saih4e2c3q

Indoor noise level measurements and subjective comfort: feasibility of smartphone-based participatory experiments [article]

Carlo Andrea Rozzi, Francesco Frigerio, Luca Balletti, Silvia Mattoni, Daniele Grasso, Jacopo Fogola
2021 arXiv   pre-print
and planning long-term solutions to human well-being.  ...  We designed and performed a participatory sensing initiative to explore the reliability and effectiveness of a distributed network of citizen-operated smartphones in evaluating the impact of environmental  ...  We also thank the anonymous participants who joined the initiative and contributed data to this study.  ... 
arXiv:2107.03646v3 fatcat:yerd7dnefnhlrhdltwz2bf4b7a

A new direction for applied geography

Reginald G. Golledge, Jack M. Loomis, Roberta L. Klatzky
1997 Applied Geographic Studies  
the pedestrian's equivalent of an American Automobile Association strip map.  ...  One recent and highly mnovauve attempt to solve the problem of map presentation of geographic data has been undertaken by geographer Don Parkes and h~s associates 158 Vot. 1, No 3 New Dlrecuon for Apphed  ... 
doi:10.1002/(sici)1520-6319(199723)1:3<151::aid-ags1>3.0.co;2-0 fatcat:2z4mdjrcwjhkxj34ppglcel34a

Spatiotemporal enabled Content-based Image Retrieval

Mariana Belgiu, Martin Sudmanns, Tiede Dirk, Andrea Baraldi, Stefan Lang
2016 International Conference on GIScience Short Paper Proceedings  
., global or local, deterministic or stochastic, etc.) have been proposed to detect and eliminate coverage holes and hence increase the coverage of sensor networks (Argany et al. 2015).  ...  Wireless Sensor Networks (WSNs) are widely used for monitoring and observation of dynamic phenomena.  ...  The authors therefore would like to acknowledge their valuable input on this topic, specifically Ward Van Hal (Flemish Association for Cities and Municipalities); Peter Acknowledgements The authors would  ... 
doi:10.21433/b311729295dw fatcat:fulw4pw3kfh5nmfzcsy3pkisvm

D3.1 Communication of IoT Devices

Efstathios Katranaras, Guillaume Vivier, Ignacio Garcia Zuazola, Jaime Ruiz Alonso, Ignacio Benito Frontelo, Ahmad Nimr, Roberto Bomfin, Ivo Bizon Franco de Almeida, Albert Marín-Bernad, David Gomez-Barquero, Cristina Avellan, José Luis Cárcel Cerver (+8 others)
2021 Zenodo  
, which are also mapped to the use cases of iNGENIOUS.  ...  This document describes how iNGENIOUS plans to evolve devices and communication solutions to support Next-Generation Internet of Things (NG-IoT) scenarios.  ...  The main contributors to achieve the expected cost reductions for the individual complexity reduction techniques are included in Table 13 for both RF and baseband blocks.  ... 
doi:10.5281/zenodo.4890976 fatcat:cqxyf76dtvgbhl4rh774pwubnq

Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

Yi Zhou, Lulu Liu, Haocheng Zhao, Miguel López-Benítez, Limin Yu, Yutao Yue
2022 Sensors  
For these tasks, we focus on explaining how the network structure is adapted to radar domain knowledge.  ...  In this context, we believe that the era of deep learning for radar perception has arrived.  ...  1} for the ignorance of association.  ... 
doi:10.3390/s22114208 pmid:35684831 pmcid:PMC9185239 fatcat:dqzdgj7hd5hqrkudzw5uwjz73u

Semantic management of moving objects: A vision towards smart mobility

Sergio Ilarri, Dragan Stojanovic, Cyril Ray
2015 Expert systems with applications  
We present the state-of-the-art in the domain of management of semantic locations and trajectories, and outline research challenges that need to be investigated to enable a full-fledged and intelligent  ...  We propose a distributed framework for the semantic enrichment and management of mobility data and analyze the potential deployment and exploitation of such a framework. ⇑  ...  The authors acknowledge the support of the European COST Action IC0903 MOVE, that fostered research collaboration in this field.  ... 
doi:10.1016/j.eswa.2014.08.057 fatcat:bip2g2qfrjhxdcog5ofc7zczxa
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