Moving Object Detection and Control Using Remote Sensing and Artificial Intelligence
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 30128
Special Issue Editors
Interests: control engineering; optimization; differential games; artificial intelligence; sensitivity of control; remote sensing; technology development; applications
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent remote sensors in industrial and agriculture applications; remote control in hybrid systems based on renewable energy sources
Special Issues, Collections and Topics in MDPI journals
Interests: big data analytics and machine learning for smart grid applications; smart meters
Interests: remote sensing of maritime unmanned vehicles; remote sensing and artificial intelligence in autonomous control and navigation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Moving objects constitute a significant part of all technical objects for which the method of controlling their movement significantly affects both operating costs and the accuracy and safety of transport tasks. This applies to land, sea and air objects in terms of manned and unmanned facilities. Remote sensing devices such as radar, lidar and other highly specialized measurement solutions are used in the detection and control of moving objects. When planning and implementing motion control of objects, there are many possible acceptable solutions from which the best or optimal solution should be selected. To find it, both static and dynamic optimization deterministic methods and heuristic methods of particle swarms are used, as well as very effective methods of artificial intelligence in the form of evolutionary algorithms and neuro-fuzzy regulators.
In addition, moving objects are often affected by various types of interference, which are compensated for by adaptive algorithms using the following methods: self-tuning, model reference system or gain scheduling.
When carrying out transport tasks, there are situations of passing by many other objects. In such situations, the subjectivity of the operator of the object in assessing the navigational situation is important. They must take into account the applicable legal rules and the possibility of making a mistake and contributing to a collision situation, which can be considered as a conflict situation. Game theory, which is a branch of modern mathematics, including the theory of conflict situations and the construction and analysis of their models, comes to the rescue. Therefore, it is appropriate to treat the process of passing objects safely as a game, taking into account the cooperation or non-cooperation between objects.
For this Special Issue, we seek innovative approaches that use remote sensing and control to develop appropriate algorithms of the computer-aided maneuvering decision, calculating all possible solutions of the task and proposing one of the best ones.
We welcome review papers, case studies, computer simulations, technology developments and applications.
Prof. Józef Lisowski
Prof. Kouzou Abdellah
Prof. Haitham Abu-Rub
Prof. Piotr Szymak
Guest Editors
Manuscript Submission Information
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Keywords
- land, sea and aerial moving objects
- manned and unmanned objects
- remote sensing
- artificial intelligence
- control engineering
- multi-criteria optimization
- adaptive control
- game theory application
- sensitivity of control
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