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Outdoor positioning based on deep learning and wireless network fingerprint technology

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.aej.2018.11.008openalex-snapshot

Recent achievements in sensor localization algorithms

inferredcites →https://doi.org/10.1016/j.comnet.2006.11.018openalex-snapshot

Wireless sensor network localization techniques

inferredcites →https://doi.org/10.1016/j.comnet.2016.10.006openalex-snapshot

Advances on localization techniques for wireless sensor networks: A survey

inferredcites →https://doi.org/10.1016/j.eswa.2006.12.028openalex-snapshot

Introducing a decision tree-based indoor positioning technique

inferredcites →https://doi.org/10.1016/j.neucom.2016.02.055openalex-snapshot

Deep Neural Networks for wireless localization in indoor and outdoor environments

inferredcites →https://doi.org/10.1016/j.pmcj.2011.04.008openalex-snapshot

Design and implementation of a self-guided indoor robot based on a two-tier localization architecture

inferredcites →https://doi.org/10.1016/j.sigpro.2016.07.005openalex-snapshot

Wireless RSSI fingerprinting localization

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1093/ietfec/e91-a.8.2232openalex-snapshot

An Improved DV-Hop Localization Algorithm with Reduced Node Location Error for Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/access.2017.2712131openalex-snapshot

Neural-Network-Assisted UE Localization Using Radio-Channel Fingerprints in LTE Networks

inferredcites →https://doi.org/10.1109/access.2018.2884193openalex-snapshot

Indoor Positioning Based on Fingerprint-Image and Deep Learning

inferredcites →https://doi.org/10.1109/comst.2015.2448632openalex-snapshot

A Survey of Fingerprint-Based Outdoor Localization

inferredcites →https://doi.org/10.1109/icc.2017.7997235openalex-snapshot

CiFi: Deep convolutional neural networks for indoor localization with 5 GHz Wi-Fi

inferredcites →https://doi.org/10.1109/icmlc.2010.5580925openalex-snapshot

RFID indoor positioning using RBFNN with L-GEM

inferredcites →https://doi.org/10.1109/infcom.2013.6567057openalex-snapshot

APT: Accurate outdoor pedestrian tracking with smartphones

inferredcites →https://doi.org/10.1109/ipin.2018.8533777openalex-snapshot

DelFin: A Deep Learning Based CSI Fingerprinting Indoor Localization in IoT Context

inferredcites →https://doi.org/10.1109/isape.2018.8634177openalex-snapshot

A Wireless Fingerprint Location Method Based on Target Tracking

inferredcites →https://doi.org/10.1109/lcomm.2014.040214.132781openalex-snapshot

RSS-Based Localization via Bayesian Ranging and Iterative Least Squares Positioning

inferredcites →https://doi.org/10.1109/taes.2008.4655366openalex-snapshot

K-nearest neighbor particle filters for dynamic hybrid Bayesian networks

inferredcites →https://doi.org/10.1109/tgrs.2017.2700322openalex-snapshot

Deep Feature Fusion for VHR Remote Sensing Scene Classification

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tmc.2012.143openalex-snapshot

Dynamic Online-Calibrated Radio Maps for Indoor Positioning in Wireless Local Area Networks

inferredcites →https://doi.org/10.1109/wowmom.2008.4594840openalex-snapshot

Cluster filtered KNN: A WLAN-based indoor positioning scheme

inferredcites →https://doi.org/10.1145/1409060.1409106openalex-snapshot

Fast image/video upsampling

inferredcites →https://doi.org/10.1155/2013/737146openalex-snapshot

Positioning Errors Predicting Method of Strapdown Inertial Navigation Systems Based on PSO-SVM

inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot

A survey of transfer learning

inferredcites →https://doi.org/10.3390/s120506155openalex-snapshot

Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning

inferredcites →https://doi.org/10.3390/s19235180openalex-snapshot

Deep Learning for Fingerprint-Based Outdoor Positioning via LTE Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4651694openalex-extracted

A Deep Learning Approach to Locating Customers in a Sub-Saharan African Slum Settlement: The Perspective of Online Product Delivery and Online Commerce

inferred← citeshttps://doi.org/10.1109/comst.2025.3648577openalex-snapshot

AI-Driven Wireless Positioning: Fundamentals, Standards, State-of-the-Art, and Challenges

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747240openalex-snapshot

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning

inferred← citeshttps://doi.org/10.1109/icscds53736.2022.9760843openalex-snapshot

Empirical Analysis and AI based Intelligent Evaluation of Korean Teachers' Guiding Ability in MOOC based on Data Clustering

inferred← citeshttps://doi.org/10.1109/twc.2023.3273202openalex-snapshot

Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach

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