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Sensor Data Fusion Analysis for Broad Applications.

Authors :
Duro, Natividad
Source :
Sensors (14248220); Jun2024, Vol. 24 Issue 12, p3725, 4p
Publication Year :
2024

Abstract

Sensor data fusion analysis is a crucial process that integrates data from multiple sensors to provide more accurate and comprehensive information. This analysis has various applications in fields such as industry, medicine, robotics, transportation, and information systems. The article highlights sixteen high-quality papers that explore different aspects of sensor data fusion, including facial detection, object detection, odometry systems, geospatial data evaluation, and fault detection. The papers demonstrate the potential of sensor data fusion in improving decision-making, efficiency, and productivity in various industries. Future research in this area will focus on miniaturization, multi-sensor systems, and addressing challenges related to data quality in mobile sensors. [Extracted from the article]

Details

Language :
English
ISSN :
14248220
Volume :
24
Issue :
12
Database :
Complementary Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
178190401
Full Text :
https://doi.org/10.3390/s24123725