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Positioning in Indoor Mobile Systems [chapter]

Milos Borenovic, Aleksandar Neskovic
2010 Radio Communications  
Battiti et al. (2002) were the first to consider using Artificial Neural Networks (ANNs) for positioning in WLAN networks.  ...  Depending on the side on which the position calculation process takes place, positioning in WLAN networks with the use of RSSI parameter can be either network-based or clientbased.  ... 
doi:10.5772/9466 fatcat:kksdbo7vujgzni3ldq4bx53hya

Analytical Review of Event-Based Camera Depth Estimation Methods and Systems

Justas Furmonas, John Liobe, Vaidotas Barzdenas
2022 Sensors  
After a short introduction detailing the salient differences and features of an event-based camera compared to that of a traditional, frame-based one, this work summarizes the published event-based methods  ...  However, instantiations of event-based cameras for depth estimation are sparse.  ...  On the other hand, monocular vision systems that used neural networks showed competitive results. Spiking neural networks were used to estimate depth from defocus.  ... 
doi:10.3390/s22031201 pmid:35161946 pmcid:PMC8838470 fatcat:zho4vy7gdrajlps4zfwbqeerqm

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

Francesco Potorti, Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Antonio Ramón Jiménez, Fernando Seco, Antoni Pérez-Navarro, Miguel Ortiz, Ni Zhu, Et Al.
2021 Zenodo  
A preprint version of the paper entitled "Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition".  ...  The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes.  ...  His research interests include indoor positioning, person-flow estimation, and autonomous driving. You-Cheng  ... 
doi:10.5281/zenodo.4948278 fatcat:wtzdgdf2gfhj3kkvgtzryh5fj4

Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition

Francesco Potorti, Joaquin Torres-Sospedra, Darwin Quezada-Gaibor, Antonio Ramon Jimenez, Fernando Seco, Antoni Perez-Navarro, Miguel Ortiz, Ni Zhu, Valerie Renaudin, Ryosuke Ichikari, Ryo Shimomura, Nozomu Ohta (+94 others)
2021 IEEE Sensors Journal  
The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes.  ...  In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning.  ...  His research interests include indoor positioning, person-flow estimation, and autonomous driving. You-Cheng  ... 
doi:10.1109/jsen.2021.3083149 fatcat:ubm325fb45bn7omhsiw5ihef2y

Visual Homing for Micro Aerial Vehicles Using Scene Familiarity

Gerald J. J. van Dalen, Kimberly N. McGuire, Guido C. H. E. de Croon
2018 Unmanned Systems  
The undersigned hereby certify that they have read and recommend to the Faculty of Aerospace Engineering for acceptance a thesis entitled "Visual Homing for Micro Aerial Vehicles using Scene Familiarity  ...  Trained images are used to determine which control actions to take during homing. To determine familiarity, either a database of stored images is kept or an artificial neural network is used.  ...  Processing was done on-board, on an Odroid-U2 (ARM Cortex A9, 1.6 GHz, 4 cores), and two cores were used for the algorithm (one for motion estimation and one for updating the keyframe database).  ... 
doi:10.1142/s230138501850005x fatcat:yp5qw6kbfnbizcx3cenfagumty

Ambient Intelligence Systems for Personalized Sport Training

Javier Vales-Alonso, Pablo López-Matencio, Francisco J. Gonzalez-Castaño, Honorio Navarro-Hellín, Pedro J. Baños-Guirao, Francisco J. Pérez-Martínez, Rafael P. Martínez-Álvarez, Daniel González-Jiménez, Felipe Gil-Castiñeira, Richard Duro-Fernández
2010 Sensors  
Several research programs are tackling the use of Wireless Sensor Networks (WSN) at specific fields, such as e-Health, e-Inclusion or e-Sport.  ...  The architecture of the system comprises a WSN deployed in the training area which provides communication with athletes' mobile equipments, performs location tasks, and harvests environmental data (wind  ...  Ciencia, Spain), TSI-020301-2008-16 ELISA and TSI-020301-2008-2 PIRAmIDE (Ministerio de Industria, Turismo y Comercio, Spain), and it has been also developed within the framework of "Programa de Ayudas a  ... 
doi:10.3390/s100302359 pmid:22294931 pmcid:PMC3264484 fatcat:m5iyvuaeuveepjfytyndcgipxa

Fifth-Generation (5G) mmWave Spatial Channel Characterization for Urban Environments' System Analysis

Leyre Azpilicueta, Peio Lopez-Iturri, Jaime Zuñiga-Mejia, Mikel Celaya-Echarri, Fidel Alejandro Rodríguez-Corbo, Cesar Vargas-Rosales, Erik Aguirre, David G Michelson, Francisco Falcone
2020 Sensors  
for 28, 30 and 60 GHz is presented in both an outdoor urban complex scenario and an indoor scenario, in order to consider a multi-functional, large node-density 5G network operation.  ...  Different beamforming radiation patterns of the transmitter antenna have been considered, emulating a 5G system operation.  ...  The 3D-RL estimation engine can employ a hybrid simulation with a Neural Network (NN) ray interpolator module [46] , 2D Diffusion Equation (DE) approach [47] or Collaborative Filtering (CF) database  ... 
doi:10.3390/s20185360 pmid:32962137 pmcid:PMC7570741 fatcat:4di65yzd6vaurlqpq7c224o7wa

AURES

Oliver Shih, Patrick Lazik, Anthony Rowe
2016 Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments - BuildSys '16  
We then use a semi-supervised learning approach based on Weighted Principal Component Analysis (WPCA) that requires minimal training data to estimate the number of occupants.  ...  The system has two modes of operation, one for presence detection and one for estimating the number of occupants in a region.  ...  ACKNOWLEDGEMENTS This research was funded in part by TerraSwarm, one of six centers of STARnet, a Semiconductor Research Corporation program sponsored by MARCO and DARPA as well as the NSF as part of grant  ... 
doi:10.1145/2993422.2993580 dblp:conf/sensys/ShihLR16 fatcat:i5orirz7tbcjrlmgjxlkvzlkxu

Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation [article]

You Li, Yuan Zhuang, Xin Hu, Zhouzheng Gao, Jia Hu, Long Chen, Zhe He, Ling Pei, Kejie Chen, Maosong Wang, Xiaoji Niu, Ruizhi Chen (+3 others)
2020 arXiv   pre-print
in both indoor and outdoor areas.  ...  Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original  ...  DB-M methods such as Artificial Neural Network (ANN), random forests, Gaussian Processes (GP), and Deep Reinforcement Learning (DRL).  ... 
arXiv:2004.03738v1 fatcat:av3zutx4urfwbiem7lkdmeghh4

A survey on smartphone-based systems for opportunistic user context recognition

Seyed Amir Hoseini-Tabatabaei, Alexander Gluhak, Rahim Tafazolli
2013 ACM Computing Surveys  
With respect to humancentric sensing, mobile phone based sensing and wireless sensor networks, in particular BSN-based approaches, share many similar research challenges, such as energy, security and privacy  ...  This article surveys the existing research and approaches towards realization of such systems.  ...  database of location tagged images on back end server.  ... 
doi:10.1145/2480741.2480744 fatcat:ei7xqnndkfbu5mwvasauj7ughq

Indoor navigation: state of the art and future trends

Naser El-Sheimy, You Li
2021 Satellite Navigation  
This paper reviews the state of the art and future trends of indoor Positioning, Localization, and Navigation (PLAN).  ...  integration with artificial intelligence, 5G, IoT, and edge/fog computing.  ...  For position-fixing, the base station location is usually set manually or estimated using base-station localization approaches (Cheng et al. 2005) .  ... 
doi:10.1186/s43020-021-00041-3 doaj:00650f9a753c4650ae3a8a3d62d8615b fatcat:5hvo4g4isfhmxjfxnss67fgw3u

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications

Zhanyu Ma, Sunwoo Kim, Pascual Martinez-Gomez, Jalil Taghia, Yi-Zhe Song, Huiji Gao
2020 IEEE Access  
Then, the poses of the obtained item images are estimated using a space rectangular coordinate system and categorized into four or eight classes for constructing a training database.  ...  neural network-based selfattention model with a recurrent neural network framework.  ...  A differential global positioning system (GPS) and an inertial navigation system (INS) are used to measure the vehicle positions and velocities in high precision.  ... 
doi:10.1109/access.2020.3035461 fatcat:rt7ejtponrfexigie4cfpt7gd4

Part one: The Statistical Terminal Assisted Mobile Positioning methodology and architecture

C. Laoudias, C.G. Panayiotou, C. Desiniotis, J.G. Markoulidakis, J. Pajunen, S. Nousiainen
2008 Computer Communications  
Due to its open and modular architecture, new positioning algorithms and post processing techniques can be added in the localization chain, thus supporting effectively a wide variety of Location Based  ...  STAMP is setting a unified positioning framework, in which different types of raw network related measurements are employed by multiple positioning techniques in order to derive coarse position estimates  ...  Artificial Neural Networks (ANN) have been proposed as a solution to the location determination problem [6] [7] [8] [9] [10] .  ... 
doi:10.1016/j.comcom.2008.01.052 fatcat:uo2n7na4jfhoxk42ujxxmdckzy

User Interfaces for Mobile Augmented Reality Systems [article]

Steve Feiner
2003 International Conference on Vision, Video and Graphics  
and sound on the real world.  ...  This talk provides an overview of work that explores user interface design issues for mobile augmented reality systems, which use tracked see-through and hear-through displays to overlay virtual graphics  ...  All location-based information is stored in a campus database on the backpack computer.  ... 
doi:10.2312/vvg.20031017 dblp:conf/vvg/Feiner03 fatcat:5mztekgvszg33ag6lyoyvxkit4

Computer Vision and Machine Learning for Viticulture Technology

Kah Phooi Seng, Li-Minn Ang, Leigh M. Schmidtke, Suzy Y. Rogiers
2018 IEEE Access  
We illustrate the usefulness of the database for a colorbased berry detection application for white and red cultivars and give baseline comparisons using various machine learning approaches and color spaces  ...  First, we present a comprehensive review of computer vision, image processing, and machine learning techniques in viticulture.  ...  Nicole Bordes for useful discussions and consultations, and Campbell Meeks who performed the laboratory and chemical analysis of the berry composition for the GrapeCS-ML Database.  ... 
doi:10.1109/access.2018.2875862 fatcat:ngtf32fvtvdjhjtgpzh4knltje
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