Multi-Sensor Fusion and Data Analysis
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: closed (30 August 2019) | Viewed by 119734
Special Issue Editor
Interests: artificial intelligence; robotics; sensors and multisensor fusion; wireless sensor networks; control systems; bio-inspired intelligence; machine learning; neural networks; fuzzy systems; computational neuroscience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Research on multi-sensor fusion and sensor data analysis have made significant progress in both theoretical investigation and practical applications, in many fields, such as monitoring, operation, planning, control, and decision making of various environmental, structural, agricultural, food processing, and manufacturing systems. Various intelligent and advanced multi-sensor fusion and data analysis algorithms and technologies have been developed for accurate information acquisition, effective monitoring, optimal decision making, and efficient operation.
This Special Issue is devoted to new advances and research results on multi-sensor fusion and data analysis for various systems, such as environmental and structural systems (e.g., lakes, rivers, dams, bridges, roads, tunnels, buildings), agricultural and food processing systems, and manufacturing systems. The topics in this issue include, but are not limited to, multi-sensor fusion for information acquisition, sensor signal processing and data analysis, machine learning for multi-sensor fusion, optimal sensor placement, intelligent multi-sensor fusion, multi-sensor-based monitoring and operation, multi-sensor based control and decision making, modelling and analysis of multi-sensors, remote sensing and monitoring, and software and hardware development for multi-sensor fusion. The applications of various multi-sensor fusion technologies and of various systems are also welcome.
Prof. Dr. Simon X. Yang
Guest Editor
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Keywords
- Multi-sensor fusion
- Multi-sensor based information acquisition
- Data analysis for multi-sensor fusion
- Modeling and analysis of multi-sensors
- Intelligent multi-sensor fusion
- Optimal sensor placement
- Multi-sensor-based planning and decision making
- Multi-sensor-based monitoring and control
- Applications of multi-sensor fusion