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V/AR을 이용한 Force Feedback을 수행하는 방식에 대한 연구
전대현,김시원,성지훈,조민지,최현진 제어로봇시스템학회 2021 제어로봇시스템학회 국내학술대회 논문집 Vol.2021 No.6
Haptic devices are widely used for teleoperation of robots. In many remote control systems, a VR device transmits the visual environment around a robot, and a haptic device is used to receive force feedback from the robot manipulator. In this study, a highly portable VR device and a haptic device were used to receive force feedback from a robot and an easy-to-use V/AR UI was applied to increase the convenience of use.
전대현(Dae-Hyeon Jeon),이은지(Jeon, Eun-Ji Lee),강성우(Seong-Woo Kang),이우진(Woo-Jin Lee),강태구(Tae-Koo Kang) 대한전기학회 2018 대한전기학회 학술대회 논문집 Vol.2018 No.11
시각장애인의 수가 늘어나고 있으나 여전히 시각장애인의 보행 안전문제는 해소되지 않고 있어 시각장애인들의 불편함을 해소하고자 이 디바이스를 기획하게 되었다. 시각장애인용 지팡이에 부착하여 사용하는 디바이스로 보행 시 초음파 센서가 전방 180도를 스캔하여 장애물의 방향을 알려준다. 초음파 센서, 지자기 센서, 서보모터 등을 이용하여 시각장애인에게 장애물의 위치를 알려줘 이를 피해 갈 수 있도록 하는 디바이스를 만들었다.
황현정;이호섭;전대현;김동열;김진일 東義大學校産業技術開發硏究所 2012 産業技術硏究誌 Vol.26 No.-
본 연구에서는 각종 센서를 통해 교통사고 현장의 상황을 자동으로 저장, 분석할 수 있는 스마트폰 블랙박스를 설계하고 구현하였다. 기존의 웹 캠 형식의 블랙박스 기능을 탈피하고, 사용자가 휴대하기 편한 스마트 폰이라는 장점을 활용해 차량뿐만 아니라 오토바이, 자전거에도 모두 사용가능할 수 있도록 안드로이드 플랫폼을 이용하여 블랙박스 기능을 개발하였다. 또한, 사고발생시 사전에 등록한 번호로 사고위치를 SMS 문자로 전송하여 사고 상황을 노출하도록 설계되었다.
주기적 연료 공급이 비애혼합 화염 특성에 미치는 영향에 관한 연구
이상협,전대현,이병준,Lee, Sang-Hyeop,Jeon, Dae-Hyeon,Lee, Byeong-Jun 대한기계학회 2002 大韓機械學會論文集B Vol.26 No.1
The effects of periodic fuel supply on the nonpremixed flame stability and soot formation were experimentally studied. A solenoid valve was used to control the period of fuel supply. The laser induced incandescence technique was used to visualize cool: volume fraction profile. The flame base shape was changed significantly by the fuel supply period and partially by the fuel flowrates. The portion of bluish flame near the flame base became larger as the period increased. When the period was long, two flames coexisted within one period. It seemed that the characteristic of flame stability were repeated with 4.68m change of fuel supply line length. The soot mass measurements and soot volume fraction measurements revealed that the maximum suppression of soot by the perioic fuel supply was approximately 75% , which occurred when the occurred when the fuel supply period was relatively long.
Few-Shot 중간시점 영상 생성을 위한 규제 학습 기법
김주혁(Joohyeok Kim),전대현(Daehyeon Jeon),심재영(Jae-Young Sim) 대한전자공학회 2024 대한전자공학회 학술대회 Vol.2024 No.6
Novel view synthesis has been studied to generate image from unseen view for the case where one cannot acquire images from every viewpoint when required. Neural rendering methods[1, 2, 7, 8, 9, 10, 13] were proposed as a new field of novel view synthesis. Yet, these methods require set of diverse images while the quality of rendered image severely drops if given images are not diverse enough. However, one cannot always get enough amount of quality images. Some methods[3, 4, 5, 11, 12] were suggested to solve such problems whereas [3, 4, 5] requires extra computational cost and [11, 12] require pretrained network. We propose an efficient method to overcome forementioned limitations and to enhance the quality of novel view synthesis under limited amount of image, by patch-based learning and progressive learning. We demonstrate our proposed methods on various datasets[1, 14], using InstantNGP[2].
박래근(Raegeun Park),윤혁진(Hyeok-Jin Yun),한은규(Ean-Gyu Han),강성우(Seong-Woo Kang),전대현(Dae-Hyeon Jeon),박지훈(Ji-Hoon Park),정권영(Kown-Young Jung),강태구(Tae-Koo Kang) 제어로봇시스템학회 2020 제어·로봇·시스템학회 논문지 Vol.26 No.5
Research on autonomous vehicles, such as lane recognition, sign recognition, LiDAR data processing, and avoidance control, continues to expand, and recently, commercially available vehicles were partially supplied with level 3 autonomous driving technology for use in highway environments. However, in urban environments, the application of level 3 technology is limited due to variables such as traffic lights and pedestrians. For this reason, for autonomous driving in urban environments, an integrated system of technologies for responding to many variables, such as road component recognition and obstacle avoidance, is required. However, if each sensor in the integrated system malfunctions or arrives at different judgment based on the same situation, a problem in vehicle control may occur due to exclusive data collision. Therefore, this paper proposes an integrated control system that develops a technology for responding to situations that occur during driving in urban environments, such as lane recognition, traffic light recognition, and obstacle avoidance, and gives priority to each algorithm. Experiments were conducted to confirm the performance of each algorithm and to verify the performance of the integrated system. Experiments were conducted at various section of K-City(an autonomous driving test city in Korea). This integrated system showed how to appropriately respond to common situation in urban driving while considering many factors such as left turn, right turn, straight driving, and emergency braking. It is expected that the system proposed in this study and the experimental results obtained in K-City can be applied to actual urban environments in order to reflect various adverse conditions, such as road damage, encountered while driving on roads.