Abstract
This research reviews the current literature on the impact of Artificial Intelligence (AI) in the operation of autonomous Unmanned Aerial Vehicles (UAVs). This paper examines three key aspects in developing the future of Unmanned Aircraft Systems (UAS) and UAV operations: (i) design, (ii) human factors, and (iii) operation process. The use of widely accepted frameworks such as the "Human Factors Analysis and Classification System (HFACS)" and "Observe– Orient–Decide–Act (OODA)" loops are discussed. The comprehensive review of this research found that as autonomy increases, operator cognitive workload decreases and situation awareness improves, but also found a corresponding decline in operator vigilance and an increase in trust in the AI system. These results provide valuable insights and opportunities for improving the safety and efficiency of autonomous UAVs in the future and suggest the need to include human factors in the development process.
| Original language | English |
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| Title of host publication | 2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 798-805 |
| ISBN (Electronic) | 9798350310375 |
| ISBN (Print) | 9798350310382 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023 - Warsaw, Poland Duration: 6 Jun 2023 → 9 Jun 2023 |
Publication series
| Name | 2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023 |
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Conference
| Conference | 2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023 |
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| Country/Territory | Poland |
| City | Warsaw |
| Period | 6/06/23 → 9/06/23 |
Funding
The current researchers would like to thank the support given to this publication from KTI (K zleked studom nyi Int zet Nonprofit Kft.)- BME (Budapest University of Technology and Economics) Project, proposal entitled Assessing Operators (Pilot, Air Traffic Controller) Total Loads and Evaluating Aeronautical Decision-Making .