Web AR Solution for UAV Pilot Training and Usability Testing

Area of Science:

• Computer Science
• Human-Computer Interaction
• Robotics

Background:

• The internet and mobile devices enable ubiquitous data access.
• Augmented Reality (AR) enhances reality by overlaying virtual information.
• Unmanned Aerial Vehicles (UAVs) have diverse applications but require specialized pilot training.

Purpose of the Study:

• To propose a multiplatform, cloud-hosted Web AR solution for drone training and usability testing.
• To create an inclusive and accessible method for learning drone piloting and conducting UAV research.
• To leverage trendy technologies for improved human-drone interaction (HDI).

Main Methods:

• Literature review of drones, AR, and HDI.
• Development of a prototype using Raspberry Pi 3, a camera, and barcode markers.
• Implementation of a configurable trajectory system using virtual elements over real-world barcode markers.

Main Results:

• A real-time AR experience for drone pilot training and usability testing is achievable via web technologies.
• The proposed solution offers high availability through web and ubiquitous devices.
• Demonstrated cost-effective alternative to traditional training methods, minimizing technophobia.

Conclusions:

• Web AR provides a viable and accessible platform for drone pilot training and usability testing.
• The developed prototype validates the feasibility of real-time AR experiences for UAVs.
• This approach facilitates easier pilot training and testing for researchers and developers.