mlsanityData to 14 Oct 2026

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

arXiv 2310.16360 ↗First posted 25 Oct 2023cs.AI cs.ROcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 20 of its 185 references that are in the map. First posted on arXiv 25 Oct 2023.

Builds on

20 of 185 references.

References · 20

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8 more
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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Autonomous Advanced Aerial Mobility -- An End-to-end Autonomy Framework for UAVs and Beyondcited by 2