Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities

Dear Colleagues,

The rapid development of advanced, arguably intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, monitoring, and smart sensing in harsh environments with poor prior information. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the Internet of Things (IoT). For example, the advent of multiple/massive sensor systems provides a very rich observation at high frequency yet low financial cost, which facilitates novel perspectives based on data clustering, fusion and learning to deal with noises, false alarms, and misdetection, given little statistical knowledge about the objects, sensors, and the environments.

Classic least square methods tangled with neural networks provide another unlimited means to utilize the pattern of data and useful models for positioning, tracking, and monitoring, showing great promise as a means of restoring sensor capability over a range of challenging operating conditions. As such, the sensors community has a great interest in novel, intelligent information fusion, resource optimization, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. 

This Special Issue aims to provide broad coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, monitoring, and smart sensing. Both theoretical and practical works, as well as review/survey papers in the area, are welcome. The topics of interest of this Special Issue include but are not limited to:

• Indoor positioning/localization, mobile positioning;
• WSN/IoT-based data fusion/learning/mining;
• Object recognition/classification using sonar, radar, video, etc.;
• Sensor resource optimization;
• Intelligent transportation, autonomous vehicles;
• Wearable computing, human­–machine interaction;
• Intelligent sensing systems;
• Novel applications of machine learning and artificial intelligence involving the use of sensors.

Prof. Dr. Tiancheng Li
Prof. Dr. Junkun Yan
Prof. Dr. Yue Cao
Prof. Dr. Javier Bajo
Guest Editors

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