Pattern Recognition and Sensor Fusion Solutions in Intelligent Sensor Systems, 2nd Edition

Dear Colleagues,

Recent advances in technology have led to the development of various intelligent sensor systems, in which pattern recognition and sensor fusion algorithms play a crucial role in most cases. For the effective operation of these algorithms, advanced solutions are required in many areas, such as pre-processing, feature extraction, feature selection, classification, state estimation, implementation, etc.

Intelligent sensor systems can be based on signals of various sensor types. Many applications use sensors which provide 2D or 3D data, such as cameras and LiDARs, where computer-vision solutions are required. Others apply time-series analysis on signals collected from acoustic sensors, inertial sensors (IMU), magnetometers, etc. Both types or their fusion are widely used in industrial, medical, health, and entertainment applications (e.g., robotics, pose estimation, human–computer interaction, navigation, intelligent transportation systems, activity, movement analysis, etc.).

The processing can be performed on a central unit or decentralized, where the required computations are done on the embedded system of the units. Since most of the applications require real-time operation, the design of these pattern recognition and sensor fusion algorithms and their implementation on the embedded systems are challenging tasks.

The aim of this Special Issue is to invite high-quality research papers and up-to-date reviews that address challenging topics of sensory signal-based pattern recognition and sensor fusion. Topics of interest include, but are not limited to, the following:

• Sensor calibration, pre-processing of signals;
• Sensor technologies;
• Signal and image analysis, feature extraction, and feature selection methods;
• Machine learning, decision-making, and classification methods;
• Sensor fusion methods;
• Intelligent systems;
• Implementation of pattern recognition and sensor fusion algorithms on embedded systems;
• Real-time systems;
• Novel applications of sensory signal-based pattern recognition and sensor fusion methods.

Dr. Peter Sarcevic
Dr. Akos Odry
Dr. Sara Stančin
Dr. Gábor Kertész
Prof. Dr. Sašo Tomažič
Guest Editors

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