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2개의 MOSFET을 이용한 차량용 스마트 윈도우 제어 회로 개발
이길호(Kilho Lee),이종현(Jonghyun Lee),정현우(Hyunwoo Jung) 한국자동차공학회 2021 한국자동차공학회 부문종합 학술대회 Vol.2021 No.6
This paper is about circuit that control smart windows for vehicles using two MOSFETs. Conventional control circuit for smart window has disadvantages in power efficiency and power density. In particular, these shortcomings can be fatal in the field of lightweight and miniaturized power generation of future vehicles. Therefore, this paper proposes a new control circuit that can compensate for the shortcomings of conventional smart window control circuit. The proposed circuit can effectively control the transmittance of smart windows using variable PWM duty ratio and two MOSFETs.
이효은(Hyoeun Lee),김강희(Kanghee Kim),이길호(Kilho Lee) Korean Institute of Information Scientists and Eng 2021 정보과학회논문지 Vol.48 No.5
This paper presents a method of probabilistically analyzing the end-to-end response time from sensing to actuation in autonomous vehicle computing systems. The end-to-end response time is used to evaluate vehicle responsiveness and to derive various indicators of vehicle safety. For example, given the end-to-end response time from sensing an obstacle to stopping the vehicle, an upper limit of the vehicle’s speed may be defined. In addition, the proposed analysis may be used to determine how many computing resources should be invested in improving vehicle responsiveness. This paper proposes a safe analytical method under the assumption that ERF (Earliest Release First) scheduling is used and that each task is pinned to a certain CPU, and presents the results of the responsiveness of an open source autonomous driving stack called Autoware.
조영래(Youngrae Jo),이길호(Kilho Lee),조성호(Sungho Jo),신인식(Insik Shin) 제어로봇시스템학회 2012 제어·로봇·시스템학회 논문지 Vol.18 No.5
This paper presents an approach to implement the behaviors of multi-robots responding to user’s input characters. The robots are appropriately displaced to express any input characters. Using our method, any user can easily and friendly control multi-robots. The responses of the robots to the user"s input are intuitive. We utilize the centroidal Voronoi algorithm and the continuous-time Lloyd algorithm, which have popularly been used for the optimal sensing coverage problems. Collision protection is considered to be applied for real robots. LED sensors are used to identify positions of multi-robots. Our approach is evaluated through experiments with five mobile robots. When a user draw alphabets, the robots are deployed correspondingly. By checking position errors, the feasibility of our method is validated.