The Autonomy Evolution in Unmanned Aerial Vehicle: Theory, Challenges and Techniques
The research areas in the field of UAVs have increased considerably during the last years, the research in this field is driven by the specific needs of each organization that conduct the research, There are two main research areas, the first is the opera
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Mechanical Power Department, Faculty of Engineering, Cairo University, Giza, Egypt [email protected] Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt [email protected] 3 Computer Science Department, Faculty of Computers Science, University of People, Pasadena, USA [email protected]
Abstract. The research areas in the field of UAVs have increased considerably during the last years, the research in this field is driven by the specific needs of each organization that conduct the research, There are two main research areas, the first is the operational and it is conducted by the governmental institutions and the universities, and the second is the technological and it is conducted mainly by the companies, This paper discusses the current technological research topics in the field of UAVs, focusing on the fuzzy-logic based methods which are employed in many control problems to increase the level of autonomy, the fuzzy-logic is considered as a promising hot subject which contains many active research topics and multiple potential tools for solving complex control problems to extend the UAV capabilities to perform different functions like Optimal path planning, Collision avoidance, Trajectory motion and path following autonomously without the need of the human pilot with the minimum human supervision, the paper illustrates the different levels, functions and challenges of autonomy and a comparative analysis is conducted to analyze four potential directions which are considered to be promising areas for fuzzy-logic based approaches. It also highlights the two main areas of AI research in the field of UAV autonomous flight, 1) the imitation of the human pilot and 2) the high-level applications like image evaluation, and how to tackle some of the problems in these areas with aid of fuzzy-logic based machine learning algorithms. Keywords: UAV
Artificial Intelligence Autonomous Flight Fuzzy Logic
1 Introduction UAVs are considered an essential part of the military industries and operations, adding that, it has a main role in many civil scientific and commercial purposes. Currently, UAVs are being developed to satisfy various needs and these needs are the main © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 A. E. Hassanien et al. (Eds.): AISI 2020, AISC 1261, pp. 527–536, 2021. https://doi.org/10.1007/978-3-030-58669-0_47
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motive behind the growing UAVs research activities, many government institutions, universities, and research institutes, and public & private sector entities conduct research that fit their interests [1]. UAV research areas are divided into two main areas, the first is operational research area which focus on effective usage in terms of policies, certifications… etc. The second research area are technological, the private sector is active in this area and universities and research institutes take part in some research activities, the tw
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