‘Moving Object Detection and Control Using Remote Sensing and Artificial Intelligence II’
Moving objects constitute a significant part of all technical objects, and the method of controlling their movement significantly affects operating costs, accuracy, and safety of transport tasks. To address this, remote sensing devices such as radar and lidar, along with specialized measurement solutions, are used in the detection and control of moving objects. The selection of the best or optimal solution for motion control involves static and dynamic optimization deterministic methods, heuristic methods of particle swarms, and effective artificial intelligence techniques like evolutionary algorithms and neuro-fuzzy regulators.
This special issue aims to explore innovative approaches that utilize remote sensing and control to develop algorithms for computer-aided maneuvering decisions. The focus is on calculating all possible solutions of the task and proposing one of the best ones. The topics of interest include the use of AI approaches such as machine learning, neural networks, deep learning, fuzzy logic, multiagent systems, and expert systems for the detection, path planning, and motion control of various moving objects like autonomous vehicles, self-driving cars, aircraft, and ships.
Interference is a common challenge for moving objects, but it can be compensated for using adaptive algorithms such as self-tuning, model reference systems, or gain scheduling.
An important aspect of safe object passing during transport tasks is the subjective assessment of the navigational situation by the operator. Taking into account legal rules and the possibility of human error leading to collision situations, game theory can be employed to treat the process of passing objects safely as a game. This involves considering the cooperation or non-cooperation between objects and analyzing conflict situations using mathematical models.
For this Special Issue, the journal invites review papers, case studies, computer simulations, technology developments, and applications related to moving object detection, remote sensing, and control. Authors are encouraged to submit their manuscripts online through the journal’s website. All submissions will undergo rigorous peer review, ensuring the publication of high-quality articles. Accepted papers will be published continuously in the journal and listed on the special issue website.
The deadline for manuscript submissions is specified on the journal’s website, and authors are advised to adhere to the guidelines provided. Submitted manuscripts should be original and not have been previously published or under consideration elsewhere. The Journal of Sensors is an international, peer-reviewed open access journal published by MDPI, offering a platform for researchers and professionals in the field of sensing technology.
With the increasing importance of remote sensing and artificial intelligence in moving object detection and control, this Special Issue aims to contribute to the advancement of these fields, presenting cutting-edge research and practical applications. By bringing together experts from various domains, valuable insights and innovations can be shared, providing a foundation for the development of algorithms and technologies for computer-aided maneuvering decisions.
In conclusion, the field of moving object detection and control using remote sensing and artificial intelligence offers immense potential for improving the accuracy, safety, and efficiency of various transport tasks. This Special Issue presents an opportunity for researchers and professionals to showcase their work and contribute to the advancements in this growing field. By leveraging the capabilities of remote sensing devices and AI techniques, the development of algorithms and technologies for computer-aided maneuvering decisions can revolutionize the way we control and manage moving objects across land, sea, and air domains.
