FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control
Year: 2024
Type: conference-paper
Abstract: 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$(\mu=1.8,SD=0.8)$and good performance$(\mu=3.4,\ SD=0.8)$, proving better user assessments in comparison with baseline FPV goggles. Participants also rated the system highly for stimulation$(\mu=2.35,\ SD=0.9)$, novelty$(\mu=2.1,\ SD=0.9)$and attractiveness$(\mu=1.97,\ SD=\ 1)$, 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/SautenichlFlightAR
Institution: Skolkovo Institute of Science and Technology
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
Awards: G1267233886, G2841149998
OpenAlex ID: W4408199331
