Lightweight and mobile artificial intelligence and immersive technologies in aviation.

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.