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Enhanced indoor localization through crowd sensing [PDF]

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
In localization tasks, one typically assumes a statistical model of the observations, where the model quantifies the observations by exploiting interrelationships based on geometry. These models might incorporate unknown parameters that, in general, are functions of space.
Eva Arias-de-Reyna, Davide Dardari, Pau Closas, Petar M. Djuric   +3 more
openaire   +2 more sources

A Crowd-Based Efficient Fault-Proof Localization System for IoT and MCS

IEEE Access, 2021
In this paper, an efficient and fault-proof active node selection approach for localization tasks in Internet of Things (IoT) and Mobile Crowd Sensing (MCS) systems is proposed.
Adarsh Ghimire, Selina Shrestha, Hadi Otrok   +2 more
doaj   +1 more source

Crowd-Based Cognitive Perception of the Physical World: Towards the Internet of Senses

Sensors, 2020
This paper introduces a possible architecture and discusses the research directions for the realization of the Cognitive Perceptual Internet (CPI), which is enabled by the convergence of wired and wireless communications, traditional sensor networks ...
Gianni Pasolini, Anna Guerra, Francesco Guidi, Nicolò Decarli, Davide Dardari   +4 more
doaj   +1 more source

A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling

IEEE Access
Crowd counting is an important research topic in the fields of computer vision and image processing, with monitoring and management of crowded scenes becoming an increasingly prominent issue.
Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang   +4 more
doaj   +1 more source

Crowd Counting and Individual Localization Using Pseudo Square Label

IEEE Access
Recent work in crowd counting focuses on counting over detected individuals rather than estimating the number of people in the image. However, existing crowd localization methods directly detect the head point or region of individuals, which may entail ...
Jihye Ryu, Kwangho Song
doaj   +1 more source

RMapCS: Radio Map Construction From Crowdsourced Samples for Indoor Localization

IEEE Access, 2018
Fingerprint crowdsourcing has recently been promoted as a promising solution for fingerprinting-based indoor localization systems to relieve the burden of site survey. When constructing an indoor localization map from crowd-sourced samples, the following
Yanzhen Ye, Bang Wang
doaj   +1 more source

A Practice-Distributed Thunder-Localization System with Crowd-Sourced Smart IoT Devices

Sensors, 2023
Lightning localization is of great significance to weather forecasting, forest fire prevention, aviation, military, and other aspects. Traditional lightning localization requires the deployment of base stations and expensive measurement equipment.
Bingxian Lu, Ruochen Wang, Zhenquan Qin, Lei Wang   +3 more
doaj   +1 more source

paper-materials-crowd-sourced/materials 1.1.0

, 2020
No description ...
paper-materials-crowd-sourced, Jafar Akhondali   +1 more
core   +1 more source

Agent-Based Simulation Of Crowd At The Tawaf Area. [PDF]

, 2007
Every year during the Hajj season there is a concentration of more than two million people within the vicinity of the Masjid Al-Haram. Congested areas, such as the tawaf,, may reach beyond a safe level of four people per square meter during this peak ...
Haron, F., Talib, Abdullah Zawawi, Sarmady, S.   +2 more
core   +1 more source

Clustered Crowd GPS for Privacy Valuing Active Localization

IEEE Access, 2018
With the proliferation of mobile devices having BLE capability and the introduction of Beacon technology, crowdsourcing-based approaches have recently emerged as a promising solution for localization of lost objects or individuals (e.g., children or ...
Fatih Yucel, Eyuphan Bulut
doaj   +1 more source