Výsledky vyhledávání - Multi-sensor data fusion algorithms

Research Progress in Multi-Sensor Data Fusion Algorithms

Autoři: Huhai Jiang Huimeng Ke

Zdroj: Proceedings of the 2024 7th International Conference on Computer Information Science and Artificial Intelligence. :547-552

Multi-sensor data fusion framework and validation of algorithms with reference datasets.

Autoři: Lafon, Louis-Ferdinand Vissière, Alain Mehdi-Souzani, Charyar a další

Zdroj: Procedia CIRP. 2024, Vol. 129, p133-138. 6p.

Multi-sensor data fusion path combining fuzzy theory and neural networks.

Autoři: Wu, Jian Xu, Liang Chen, Qi a další

Zdroj: Intelligent Decision Technologies; 2024, Vol. 18 Issue 4, p3365-3378, 14p

Témata: CLUSTERING algorithms, FUZZY neural networks, ARTIFICIAL intelligence, SENSOR networks, MULTISENSOR data fusion, FUZZY algorithms

Multi-sensor data-fusion technology for immersive Chinese cultural experience virtual environment construction

Autoři: Ruoning Gong Zhengyuan Sun

Zdroj: Journal of Computational Methods in Sciences and Engineering.

Multi-sensor data fusion path combining fuzzy theory and neural networks

Autoři: Jian Wu Liang Xu Qi Chen a další

Zdroj: Intelligent Decision Technologies. 18:3365-3378

A Study on Multi-sensor Data Fusion Algorithm

Autoři: Fengzhi Dai Peng Lu

Zdroj: Journal of Advances in Artificial Life Robotics. 2022, 2(4):195

Application Research and Improvement of Weighted Information Fusion Algorithm and Kalman Filtering Fusion Algorithm in Multi-sensor Data Fusion Technology.

Autoři: Liu, Qiuxia

Zdroj: Sensing & Imaging; 11/16/2023, Vol. 24 Issue 1, p1-18, 18p

System-level simulations of multi-sensor systems and data fusion algorithms

Autoři: Josué Manuel Rivera Velázquez Frédérick Mailly Pascal Nouet

Zdroj: Microsystem Technologies. 28:1399-1408

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01919558
https://link.springer.com/article/10.1007/s00542-018-4204-8

Filtering based multi-sensor data fusion algorithm for a reliable unmanned surface vehicle navigation.

Autoři: Liu, Wenwen Liu, Yuanchang Bucknall, Richard

Zdroj: Journal of Marine Engineering & Technology. Apr2023, Vol. 22 Issue 2, p67-83. 17p.

Témata: *MULTISENSOR data fusion, *AUTONOMOUS vehicles, *OCEAN currents, *KALMAN filtering, *NONLINEAR systems, *REMOTELY piloted vehicles, *AIR filters

Data Fusion Algorithms of Temperature in Fresh Grape Cold Chain Transportation Based on Multi-sensor

Autoři: Zhang Zihong Rui Luo Wei Xiong

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789811532498

Témata: 7. Clean energy

Přístupová URL adresa: https://link.springer.com/chapter/10.1007%2F978-981-15-3250-4_148

Advances in Multi-Sensor Data Fusion: Algorithms and Applications

Autoři: Jiang Dong Dafang Zhuang Yaohuan Huang a další

Zdroj: Sensors (Basel)
Sensors, Vol 9, Iss 10, Pp 7771-7784 (2009)

Témata: data fusion, remote sensing, Chemical technology, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, multi-sensor, TP1-1185, Review, 02 engineering and technology

Přístupová URL adresa: https://www.mdpi.com/1424-8220/9/10/7771/pdf
https://pubmed.ncbi.nlm.nih.gov/22408479
https://doaj.org/article/5f6906d977fc4cb998239787d9defed6
http://www.irgrid.ac.cn/handle/1471x/205760
https://dblp.uni-trier.de/db/journals/sensors/sensors9.html#DongZHF09
https://www.mdpi.com/1424-8220/9/10/7771/pdf
https://core.ac.uk/display/26694786
https://www.mdpi.com/1424-8220/9/10/7771
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292082/

Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System

Autoři: Haiyang Zhou Yixin Zhao Yanzhong Liu a další

Zdroj: Sensors, Vol 23, Iss 10, p 4750 (2023)

Témata: human activity recognition, multi-sensor data fusion, fusion algorithm, CNN-LSTM, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/10/4750; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/802fb38854e141aaab809bd02fa7a3ef

A machine learning method combined multi-sensors data fusion with improved convolutional neural network for wheel defect identification.

Autoři: Miao, Bingrong Xu, Songyuan Wang, Siming a další

Zdroj: International Journal of Rail Transportation. Sep2025, p1-31. 31p. 20 Illustrations, 5 Charts.

Decision-Level Multi-Sensor Fusion to Improve Limitations of Single-Camera-Based CNN Classification in Precision Farming: Application in Weed Detection.

Autoři: Khan, Md. Nazmuzzaman Rahi, Adibuzzaman Hasan, Mohammad Al a další

Zdroj: Computation; Jul2025, Vol. 13 Issue 7, p174, 28p

Témata: MULTISENSOR data fusion, DEMPSTER-Shafer theory, IMAGE recognition (Computer vision), SUSTAINABILITY, WEED science, PRECISION farming, AGRICULTURAL robots, KNOWLEDGE transfer

Trustworthy Load Prediction for Cantilever Roadheader Robot Without Imputation.

Autoři: Wang, Pengjiang Li, Yuxin Li, Yunwang a další

Zdroj: Information. Jul2025, Vol. 16 Issue 7, p548. 18p.

Témata: *Prediction algorithms, *Machine learning, Ensemble learning, Multisensor data fusion, Missing data (Statistics)

Design of agricultural wireless sensor network node optimization method based on improved data fusion algorithm.

Autoři: Ruipeng, Tang Jianbu, Yang Jianrui, Tang a další

Zdroj: PLoS ONE; 11/7/2024, Vol. 19 Issue 11, p1-19, 19p

Témata: WIRELESS sensor nodes, WIRELESS sensor networks, ARITHMETIC mean, FUZZY arithmetic, MULTISENSOR data fusion

Multi-Sensor Data Fusion Algorithm Based on Trust Degree and Improved Genetics

Autoři: Guiling Sun Ziyang Zhang Bowen Zheng a další

Zdroj: Sensors, Vol 19, Iss 9, p 2139 (2019)

Témata: greenhouse, WSNs, data fusion, improved genetic algorithm, trust degree, cubic exponential smoothing, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/19/9/2139; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/dd0a0efcda7c42289c81fb1ed79551cd

Multi sensor data fusion algorithms for target tracking using multiple measurements

Autoři: S. Renuka R. Anitha A. Abudhahir

Zdroj: 2013 IEEE International Conference on Computational Intelligence and Computing Research. :1-4

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/6724283/
https://ieeexplore.ieee.org/document/6724283/

Multi-sensor data fusion for an efficient object tracking in Internet of Things (IoT).

Autoři: Kumar, K. Kranthi Ramaraj, E. Geetha, P.

Zdroj: Applied Nanoscience; Feb2023, Vol. 13 Issue 2, p1355-1365, 11p

Témata: MULTISENSOR data fusion, INTERNET usage monitoring, INTERNET of things, OBJECT tracking (Computer vision), TRAFFIC flow, ERROR rates, PROBLEM solving, TRACKING algorithms

Online defect detection using a high-speed multi-sensor data fusion system for laser metal deposition

Autoři: Qureshi, Ahmed Murtaza Xirouchakis, Paul Luo, Xichun

Přispěvatelé: Qureshi, Ahmed Murtaza Xirouchakis, Paul Luo, Xichun

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.860795