• Title/Summary/Keyword: 레이싱 드론

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VR Content Development for Racing Drone Control Training (레이싱 드론 조종 훈련을 위한 VR 콘텐츠 제작)

  • Kim, Jeong-Eun;Woo, Tack
    • Journal of Korea Game Society
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    • v.18 no.3
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    • pp.113-122
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    • 2018
  • In this paper, we will discuss planning and production of VR contents for effective racing drone steering training. In the real world, direct racing drone training training is obviously a space and economic limit. We propose through the production of VR-based drone infiltration action game as a solution to these limitations and try to improve effective drone handling ability. Especially, we designed the virtual reality contents in a similar environment by using the similarity of FPV goggles and HMD based VR, and designed virtual drones, maps and obstacles considering the characteristics of the structures used in racing drone and drone racing. Also, we tried to increase the user's immersion and presence by increasing difficulty level of obstacles.

Case Study for Virtual Reality-based Drone Racing Game (가상현실 기반의 드론 레이싱 게임 개발 사례)

  • Kim, Donguk;Kwak, Jeonghoon;Kim, Hyeok;Sung, Yunsick
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.671-674
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    • 2016
  • 최근 비행이 자유로운 드론의 활용도가 급격히 증가하고 있다. 드론을 사용함에 있어서 시간 및 공간의 제약, 비용 등의 문제가 있다. 이와 같은 문제는 초급 사용자의 진입을 어렵게 한다. 가상 환경에서 드론을 조종하게 함으로써 초급 사용자의 진입 장벽을 낮추고 사용자의 간접 체험을 유도해서 흥미를 유도할 수 있다. 본 논문에서는 가상현실 기반으로 드론 레이싱 게임을 즐기기 위한 게임 개발사례를 소개한다. 실제로 접하기 힘든 드론 레이싱 체험을 가상현실에 접목함으로써 드론의 관심을 높이고 조종 실력을 배양시킨다.

Development of Drone Racing Simulator using SLAM Technology and Reconstruction of Simulated Environments (SLAM 기술을 활용한 가상 환경 복원 및 드론 레이싱 시뮬레이션 제작)

  • Park, Yonghee;Yu, Seunghyun;Lee, Jaegwang;Jeong, Jonghyeon;Jo, Junhyeong;Kim, Soyeon;Oh, Hyejun;Moon, Hyungpil
    • The Journal of Korea Robotics Society
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    • v.16 no.3
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    • pp.245-249
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    • 2021
  • In this paper, we present novel simulation contents for drone racing and autonomous flight of drone. With Depth camera and SLAM, we conducted mapping 3 dimensional environment through RTAB-map. The 3 dimensional map is represented by point cloud data. After that we recovered this data in Unreal Engine. This recovered raw data reflects real data that includes noise and outlier. Also we built drone racing contents like gate and obstacles for evaluating drone flight in Unreal Engine. Then we implemented both HITL and SITL by using AirSim which offers flight controller and ROS api. Finally we show autonomous flight of drone with ROS and AirSim. Drone can fly in real place and sensor property so drone experiences real flight even in the simulation world. Our simulation framework increases practicality than other common simulation that ignore real environment and sensor.

A Case Study on FPV Drone Combats of the Ukrainian Forces (우크라이나군의 FPV드론 전투 사례 연구)

  • Kang-Il Seo;Sang-Keun Cho;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.263-270
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    • 2023
  • The Ukraine-Russia war is a testing ground for High-Tech weapons and the first full-scale drone warfare. The Ukrainian military has been aggressively deploying a variety of reconnaissance and attack drones on the battlefield, and more recently, FPV drones, also known as racing drones, have been fitted with bombs as a game-changer in small-unit combat. To better understand these FPV drones, this article reviews their definition, aircraft components, and key characteristics, and draws implications from the Ukrainian military's FPV combat experience. In the future, the combination of artificial intelligence and swarming technology will make FPV drones even more lethal. Accordingly, the need to develop FPV drones suitable for the future operational environment on the Korean Peninsula is increasing, and follow-up research is needed to specify fighting methods and optimize related technologies.