A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges

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 management strategies, and more. While envisioning possibilities, it also takes a look at ethical considerations, safety concerns, regulatory frameworks to be established, and the responsible deployment of AI-enhanced UAV systems. By consolidating insights from research endeavours in this field, this review provides an understanding of the evolving landscape of AI-powered UAVs while setting the stage for further exploration in this transformative domain.