Dear Colleagues,

In the past few decades, wireless localization tracking and navigation techniques have made considerable progress. Their growing importance can be observed in many areas of everyday life, including, for example, precise and reliable navigation in traffic leading to the integration of autonomous vehicles in a future intelligent transportation system, localization and tracking of people and goods for surveillance purposes, control of farming machines in agriculture to maximize harvest, or control of self-driving vehicles in manufacturing plants and warehouses to automate the flow of materials. The future localization and navigation systems will have to be able to operate reliably in most diverse conditions, including indoor tracking scenarios without support from global satellite navigation. Such systems will require the fusion of data sets gathered by multiple positioning systems (based on WiFi, UWB, LTE or other networks) and motion sensors in combination with techniques, such as computer vision or artificial intelligence in order to facilitate seamless and robust navigation.

This Special Issue is aimed at sharing new ideas and R&D results with researchers, academics, and experts working in the area of localization techniques, algorithms and strategies, including network-based positioning systems and inertial sensor data fusion, as well as prospective signal processing techniques leading to increase the reliability, accuracy, and robustness of both outdoor and indoor object localization, navigation and tracking. The topics expected include, but are not limited to the following areas:

• Advanced algorithms and signal processing techniques
• Performance analysis and optimization
• Hybrid system data fusion, cooperative techniques
• Innovative design of devices, signals, and systems
• Location-based services and applications

Prof. Aleš Prokeš
Dr. Joaquín Torres-Sospedra
Guest Editor

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