A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges
Osim Kumar Pal, Md Sakib Hossain Shovon, M. F. Mridha, Jungpil Shin

TL;DR
This paper reviews the integration of AI with UAVs, discussing current trends, applications, challenges, and future prospects across various industries, emphasizing ethical and regulatory considerations for responsible deployment.
Contribution
It provides a comprehensive overview of AI-enabled UAVs, highlighting recent advancements, challenges, and future directions in this rapidly evolving field.
Findings
AI enhances UAV navigation and object detection.
Applications include agriculture, surveillance, and disaster management.
Challenges include ethical, safety, and regulatory issues.
Abstract
In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles (UAVs) has brought about advancements in various areas. This comprehensive analysis explores the changing landscape of AI-powered UAVs and friendly computing in their applications. It covers emerging trends, futuristic visions, and the inherent challenges that come with this relationship. The study examines how AI plays a role in enabling navigation, detecting and tracking objects, monitoring wildlife, enhancing precision agriculture, facilitating rescue operations, conducting surveillance activities, and establishing communication among UAVs using environmentally conscious computing techniques. By delving into the interaction between AI and UAVs, this analysis highlights the potential for these technologies to revolutionise industries such as agriculture, surveillance practices, disaster…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUAV Applications and Optimization · Blockchain Technology Applications and Security · Advanced Neural Network Applications
