Dear Colleagues

In recent years, there has been an explosion in the development of electronic systems installed in different types of vehicles, and diagnostic systems, in particular, have been at the centre of several important developments in both civil and defence applications. New technologies, such as multisensory data fusion, big data processing or deep learning, are changing the quality of application areas, improving the sensors and systems used.

Technological progress, as well as the rich functionality of electronic systems used in equal types of means of transport (cars, trains planes and ships) means that we are dealing with many types of devices made with different technologies. Maintaining electronic equipment and systems in a state of serviceability is therefore a major challenge to railway infrastructure managers and must be supported by technical diagnosis. The need for diagnostics of infrastructure and systems being at the equipment of means of transport results from the process of their destruction, which is related to the time of equipment existence, the intensity of its use, the quality of maintenance or the level of operational quality. Information about changes in the technical condition of the equipment obtained as a result of diagnostics enables the effective restoration of the condition of their fitness obtained as a result of renewal. Therefore, scientific research is conducted and actions are taken to implement new diagnostic methods in the field of electronic, electrotechnical and IT systems.

In this Special Issue dedicated to the diagnostics of systems in cars, trains, planes and ships, we collect articles on many aspects of vehicle and infrastructure diagnostics, such as multi-sensor fusion, big data processing, sensors related to science/research, algorithms/technical development, analytical tools, synergy with sensors in electronic systems, data fusion and artificial intelligence methods for transport asset diagnostics.

Topics of interest include, but are not limited to:

Diagnostics of car electronic systems

Diagnostics of electronic systems of trains

Diagnostics on aircraft electronic systems

Diagnostics on electronic systems of ships

Diagnostics of electronic systems of infrastructure

Sensor data processing, data reduction, feature extraction and image understanding

Automatic target and obstacle detection and classification

Algorithms and methods for target tracking and collision avoidance

Artificial intelligence for navigation and sensor data processing

Big data processing for in-vehicle electronic systems

Path planning methods for autonomous vehicle navigation

Prof. Dr. Jerzy Kisilowski
Prof. Dr. Wacław Szcześniak
Prof. Dr. Jan Targosz
Prof. Dr. Rafał Kowalik
Guest Editors

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