On the public citation graph

Line of Sight Classification on Automated Guided Vehicles

https://doi.org/10.2139/ssrn.6496445
0 signed · 23 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.comnet.2017.04.012openalex-snapshot
Effect of LOS/NLOS propagation on 5G ultra-dense networks
inferredcites →https://doi.org/10.1016/j.jag.2010.12.001openalex-snapshot
Surveying at the limits of local RTK networks: Test results from the perspective of high accuracy users
inferredcites →https://doi.org/10.1109/access.2023.3344640openalex-snapshot
NLOS Identification for UWB Positioning Based on IDBO and Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/icarcv.2018.8581305openalex-snapshot
Improving UWB Based Indoor Positioning in Industrial Environments Through Machine Learning
inferredcites →https://doi.org/10.1109/iccis49662.2019.00031openalex-snapshot
Localization of Interference Sources in LTE Mobile Networks
inferredcites →https://doi.org/10.1109/iswcs.2019.8877315openalex-snapshot
RSSI-based Methods for LOS/NLOS Channel Identification in Indoor Scenarios
inferredcites →https://doi.org/10.1109/jsac.2010.100907openalex-snapshot
NLOS identification and mitigation for localization based on UWB experimental data
inferredcites →https://doi.org/10.1109/lawp.2019.2934466openalex-snapshot
Applying Random Forest and Multipath Fingerprints to Enhance TDOA Localization Systems
inferredcites →https://doi.org/10.1109/lcomm.2018.2872522openalex-snapshot
CNN-Based LOS/NLOS Identification in 3-D Massive MIMO Systems
inferredcites →https://doi.org/10.1109/lcomm.2019.2940023openalex-snapshot
NLOS Identification via AdaBoost for Wireless Network Localization
inferredcites →https://doi.org/10.1109/lcomm.2020.3039251openalex-snapshot
LOS/NLOS Identification for Indoor UWB Positioning Based on Morlet Wavelet Transform and Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/lcomm.2023.3260953openalex-snapshot
A Lightweight CIR-Based CNN With MLP for NLOS/LOS Identification in a UWB Positioning System
inferredcites →https://doi.org/10.1109/lcomm.2023.3265272openalex-snapshot
A Simple Efficient Lightweight CNN Method for LOS/NLOS Identification in Wireless Communication Systems
inferredcites →https://doi.org/10.1109/mcom.001.2300494openalex-snapshot
Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
inferredcites →https://doi.org/10.1109/tits.2019.2961128openalex-snapshot
GNSS NLOS Exclusion Based on Dynamic Object Detection Using LiDAR Point Cloud
inferredcites →https://doi.org/10.1109/twc.2014.2372341openalex-snapshot
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength
inferredcites →https://doi.org/10.1109/twc.2017.2763136openalex-snapshot
Downlink Cellular Network Analysis With LOS/NLOS Propagation and Elevated Base Stations
inferredcites →https://doi.org/10.1109/twc.2020.2967726openalex-snapshot
Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments
inferredcites →https://doi.org/10.1109/wimob.2013.6673428openalex-snapshot
Identification and mitigation of non-line-of-sight conditions using received signal strength
inferredcites →https://doi.org/10.3390/s18114057openalex-snapshot
NLOS Identification in WLANs Using Deep LSTM with CNN Features
inferredcites →https://doi.org/10.3390/s19163464openalex-snapshot
NLOS Identification and Mitigation Using Low-Cost UWB Devices
inferredcites →https://doi.org/10.3390/s19245547openalex-snapshot
UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis
inferredcites →https://doi.org/10.3390/s23052436openalex-snapshot
5G V2X Performance Comparison for Different Channel Coding Schemes and Propagation Models
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.