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ヒューマンドローンインタラクションarXiv:2410.16943

FlightAR: 複数映像ストリームと物体検出を統合した没入型ドローン操縦支援ARインターフェース

FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control

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ドローンのFPVカメラと底面カメラ映像をARでHMDに重畳表示し、周囲状況の把握と直感的操縦を支援するインターフェースを開発、FPVゴーグルより高いユーザ評価を得た。

著者: Oleg Sautenkov, Selamawit Asfaw, Yasheerah Yaqoot, Muhammad Ahsan Mustafa, Aleksey Fedoseev, Daria Trinitatova, Dzmitry Tsetserukou

分類: cs.RO

原文アブストラクト

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/Sautenich/FlightAR

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