Artificial Intelligence in Drone Applications (2nd Edition)
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 1435
Special Issue Editors
Interests: artificial intelligence; Internet of Things; wireless communication networks; unmanned aerial vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; aerial communication networks; 6G mobile communication network; radio resource management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, advanced artificial intelligence technologies have provided an opportunity for new drone applications, such as surveillance, search and rescue, remote sensing, air pollution monitoring, precision agriculture, and aerial base stations. Therefore, there is a significant interest in the use of deep learning for various applications. However, artificial-intelligence-based methods are data-hungry and require a certain amount of meaningful available data to generate useful results. Therefore, these methods are challenging to implement in drones due to limited resources. Thus, there is an urgent need to develop more advanced methods.
This Special Issue intends to publish original research and review articles that discuss theoretical and practical results in relation to artificial intelligence in drones, with a particular focus on navigation, perception, wireless communication, decisions, control, and civil applications using artificial intelligence technologies.
This Special Issue addresses a broad list of topics related to artificial intelligence in drones. We welcome papers that focus on, but are not limited to, the following topics:
- Artificial intelligence in drones;
- Machine learning in drones;
- Deep learning in drones;
- Reinforcement learning in drones;
- Computer vision for the perception, navigation and control of drones;
- Artificial-intelligence-based flight and exploration of drones;
- Artificial-intelligence-based wireless communication for drones;
- Artificial-intelligence-based control schemes for drones;
- Artificial-intelligence-based path planning drones;
- Artificial-intelligence-based obstacle avoidance for drones;
- Artificial-intelligence-based applications in drones.
Dr. Chao-Yang Lee
Dr. Ang-Hsun Tsai
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
