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FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control
Oleg Sautenkov, Selamawit Asfaw, Yasheerah Yaqoot, Muhammad Ahsan Mustafa, Aleksey Fedoseev, Daria Trinitatova, Dzmitry Tsetserukou
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The swift advancement of unmanned aerial vehicle (UAV) technologies necessitates new standards for developing human-drone interaction (HDI) interfaces. Most interfaces for HDI, especially first-person view (FPV) goggles, limit the operator's ability to obtain information from the environment. This paper presents a novel interface, FlightAR, that integrates augmented reality (AR) overlays of UAV first-person view (FPV) and bottom camera feeds with head-mounted display (HMD) to enhance the pilot's situational awareness. Using FlightAR, the system provides pilots not only with a video stream from several UAV cameras simultaneously, but also the ability to observe their surroundings in real time. User evaluation with NASA-TLX and UEQ surveys showed low physical demand (μ=1.8, SD = 0.8) and good performance (μ=3.4, SD = 0.8), proving better user assessments in comparison with baseline FPV goggles. Participants also rated the system highly for stimulation (μ=2.35, SD = 0.9), novelty (μ=2.1, SD = 0.9) and attractiveness (μ=1.97, SD = 1), indicating positive user experiences. These results demonstrate the potential of the system to improve UAV piloting experience through enhanced situational awareness and intuitive control. The code is available here: https://github.com/Sautenich/FlightAR
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