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Updated: Sep 9, 2025

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Lightweight and mobile artificial intelligence and immersive technologies in aviation.

Graham Wild1, Aziida Nanyonga2, Anam Iqbal3

  • 1School of Science, University of New South Wales, Canberra, ACT 2612, Australia. g.wild@unsw.edu.au.

Visual Computing for Industry, Biomedicine, and Art
|September 3, 2025
PubMed
Summary

Artificial intelligence (AI) and immersive technologies are transforming aviation by boosting safety and efficiency in operations and maintenance. Future advancements promise even greater integration for a more sustainable air travel industry.

Keywords:
Artificial intelligenceAugmented realityAviationMobile computing

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Area of Science:

  • Aviation Technology
  • Artificial Intelligence
  • Immersive Technologies

Background:

  • Artificial intelligence (AI) is increasingly integrated into aviation systems.
  • Immersive technologies like AR/VR offer new training and operational paradigms.
  • Current aviation relies on complex systems requiring continuous innovation.

Purpose of the Study:

  • To review the applications, benefits, and challenges of AI in aviation.
  • To explore the potential of immersive technologies in the aviation sector.
  • To identify future trends and opportunities for AI and immersive tech in aviation.

Main Methods:

  • Literature review of current AI applications in flight operations, air traffic control, maintenance, and ground handling.
  • Analysis of AI's role in enhancing aviation safety and mitigating human error.
  • Examination of hardware considerations for mobile AI in aviation, including FPGAs and GPUs.
  • Discussion of challenges such as algorithmic bias, cybersecurity, and human-AI interaction.

Main Results:

  • AI enhances aviation safety through pilot assistance, error reduction, and accident analysis.
  • Lightweight AI models are vital for drones and resource-constrained aviation applications.
  • Hardware choices (FPGAs vs. GPUs) and power management are critical for mobile AI.
  • Benefits include improved safety, efficiency, and environmental impact, but challenges remain.

Conclusions:

  • AI and immersive technologies are poised to revolutionize aviation, leading to safer and more efficient operations.
  • Addressing challenges like bias and cybersecurity is crucial for successful AI integration.
  • Future aviation will see deeper integration of AI with AR/VR for enhanced training and operations, promoting sustainability.