Results 231 to 240 of about 12,939 (258)

Virtual testbed for indoor localization

International Conference on Indoor Positioning and Indoor Navigation, 2013
We present a novel, easy to use virtual testbed for the evaluation of localization algorithms. Our testbed enables researchers to easily run tests on a huge body of real world range-based indoor localization data. The data consists of a dense grid of reference points belonging to one or multiple maps.
Stephan Adler, Simon Schmitt, Heiko Will, Thomas Hillebrandt, Marcel Kyas   +4 more
openaire   +1 more source

Experimental evaluation of indoor localization algorithms

2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014
In Radio Frequency (RF)-based indoor localization scenarios, localization algorithms are needed to alleviate the impact of non-line-of-sight and multipath effects on the measurements and thereby estimate the true position precisely. Several resilient lateration algorithms have been proposed in the last couple of years which claim to minimize these ...
Stephan Adler, Simon Schmitt, Yuan Yang 0005, Yubin Zhao, Marcel Kyas   +4 more
openaire   +1 more source

Cooperative and heterogeneous indoor localization experiments

2013 IEEE International Conference on Communications Workshops (ICC), 2013
In this paper we present the results of real-life localization experiments performed in an unprecedented cooperative and heterogeneous wireless context. These measurements are based on ZigBee and orthogonal frequency division multiplexing (OFDM) devices, respectively endowed with receivedsignal strength indicator (RSSI) and round trip delay (RTD ...
Benoît Denis, Ronald Raulefs, Bernard H. Fleury, Bernard Uguen, Nicolas Amiot, Lorena de Celis, Jacobo Domínguez, M. B. Koldsgaard, Mohamed Laaraiedh, Hadi Noureddine, Emanuel Staudinger, Gerhard Steinböck   +11 more
openaire   +3 more sources

Channel learning in indoor localization

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
This work addresses the fundamental issue of online channel learning in indoor localization systems. We describe a novel algorithm for unsupervised channel learning where the path loss exponent in the Non-Line-Of-Sight (NLOS) region is adapted online while positioning.
openaire   +1 more source

Fast-converging indoor mapping for wireless indoor localization

2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014
The construction of indoor floor plans for wireless localization with minimal deployment effort and with low cost is relevant in many ambient intelligence and mobile computing applications. Simultaneous Localization and Mapping (SLAM) is a well-known technique for solving the problem of localization of an object in an unknown environment while ...
openaire   +1 more source

Information fusion for indoor localization.

2009
This paper describes a fusion approach to the problem of indoor localization of a pedestrian user, in which PNS measurements, cartographic constraints and ranging or proximity beacon measurements are combined in a particle filter approximation of the Bayesian filter.
Blanchart, Pierre, He, Liyun, Le Gland, François   +2 more
openaire   +2 more sources

A Survey on Device-free Indoor Localization and Tracking in the Multi-resident Environment

ACM Computing Surveys, 2021
Kan Ngamakeur, Saeed Ur Rehman, Sira Yongchareon   +2 more
exaly  

A Survey of Recent Indoor Localization Scenarios and Methodologies

Sensors, 2021
Adnane Cabani, Houcine Chafouk
exaly  

Wireless Indoor Localization

2018
Chenshu Wu, Zheng Yang 0002, Yunhao Liu 0001   +2 more
openaire   +1 more source

Indoor Localization Improved by Spatial Context—A Survey

ACM Computing Surveys, 2020
Shahrokh Valaee, Kourosh Khoshelham, Jianga Shang   +2 more
exaly