Report
FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control
العنوان: | FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control |
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المؤلفون: | Sautenkov, Oleg, Asfaw, Selamawit, Yaqoot, Yasheerah, Mustafa, Muhammad Ahsan, Fedoseev, Aleksey, Trinitatova, Daria, Tsetserukou, Dzmitry |
سنة النشر: | 2024 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Robotics |
الوصف: | 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 Comment: Manuscript accepted in IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2024) |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2410.16943 |
رقم الانضمام: | edsarx.2410.16943 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |