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주차 시간 단축 및 정확도 향상을 위한 카메라 모듈 보조장치의 구조화 성능 향상 방안
이민구(Mingu LEE),박주현(Juhyun Park) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11
Around view Monitor is the system for helping driver find exact position while parking the car, reflecting visual aspects from four-outside cameras around the vehicle. Front and rear, left and right, there are two couples of distinguished cameras settled in order to reveal the obstacles outside the vehicle. The object appeared around the vehicle is captured artificially as if we look around the vehicle in the view above it, like in the sky, in real-time. Problem occurred on the angle of camera on the present monitoring system, which is determined and distinguished according to length and width of each vehicle model. Several vernacular approaches for deciding angles of monitoring camera were in common. Because of physical volume of each vehicle, four-point camera setting was customized only for the only model of the vehicle. Instead, a size-oriented approach for automatic deciding angles of camera is presented in this paper. This approach calls for the determination of available angle configurations and calibrations, which is based on the link and joint coordinate systems and robot arm mechanism. These adjustments are presented in two accurate mathematical ways to permit the production of mounting construction indicators and their relative motion equations. The construction indicators, (representing adaptive lengths and angles of settlement links) are configured by factory setup for the purpose of jointing four cameras for monitoring. This paper describes on the calculation of a simplified three-dimensional mathematical model of vehicle cameraattachments for the purpose of developing real-time parking guide system, and applying the parking environment to several different characteristics of vehicle models. Several vehicle models include three fixed scales which are representing the car-length, car-width, and height of cameras. Determination of positions of the four cameras can be presented in the form of matrix calculation of kinematics and motion variables as well as angle-sequenced graphics in the modeling of ghost view frames of the occupant configuration within the vehicle exterior system.
Diagonally-reinforced Lane Detection Scheme for High-performance Advanced Driver Assistance Systems
Park, Mingu,Yoo, Kyoungho,Park, Yunho,Lee, Youngjoo The Institute of Electronics and Information Engin 2017 Journal of semiconductor technology and science Vol.17 No.1
In this paper, several optimizations are proposed to enhance the quality of lane detection algorithms in automotive applications. Considering the diagonal directions of lanes, the proposed limited Hough transform newly introduces image-splitting and angle-limiting schemes that relax the number of possible angles at the line voting process. In addition, unnecessary edges along the horizontal and vertical directions are pre-defined and removed during the edge detection procedures, increasing the detecting accuracy remarkably. Simulation results shows that the proposed lane recognition algorithm achieves an accuracy of more than 90% and a computing speed of 92 frame/sec, which are superior to the results from the previous algorithms.
Nonresponse Adjusted Raking Ratio Estimation
Park, Mingue The Korean Statistical Society 2015 Communications for statistical applications and me Vol.22 No.6
A nonresponse adjusted raking ratio estimator that consists of weighting adjustment using estimated response probability and raking procedure is often used to reduce the nonresponse bias and keep the calibration property of the estimator. We investigated asymptotic properties of nonresponse adjusted raking ratio estimator and proposed a variance estimator. A simulation study is used to examine the performance of suggested estimators.
Diagonally-reinforced Lane Detection Scheme for High-performance Advanced Driver Assistance Systems
Mingu Park,Kyoungho Yoo,Yunho Park,Youngjoo Lee 대한전자공학회 2017 Journal of semiconductor technology and science Vol.17 No.1
In this paper, several optimizations are proposed to enhance the quality of lane detection algorithms in automotive applications. Considering the diagonal directions of lanes, the proposed limited Hough transform newly introduces image-splitting and angle-limiting schemes that relax the number of possible angles at the line voting process. In addition, unnecessary edges along the horizontal and vertical directions are pre-defined and removed during the edge detection procedures, increasing the detecting accuracy remarkably. Simulation results shows that the proposed lane recognition algorithm achieves an accuracy of more than 90% and a computing speed of 92 frame/sec, which are superior to the results from the previous algorithms.
박민규(Mingue Park),김태영(Taeyoung Kim),임요한(Yo-Han Lim) 한국자료분석학회 2021 Journal of the Korean Data Analysis Society Vol.23 No.4
표본조사 분야에서 효율적인 표본설계와 추정을 위한 보조정보의 수집 및 활용은 필수적이다. 일반적으로 추출틀에 포함된 보조정보는 구체적이며, 따라서, 표본설계를 위하여 사용되고, 국내 거주 인구 규모나 가구 규모와 같은 모집단의 특성을 나타내는 보조정보는 추정량의 효율성을 높이기 위하여 흔히 사용된다. 이상추출법은 이러한 보조정보가 존재하지 않을 경우에 사용할 수 있는 매우 효과적인 표본설계 방안으로, 일상에서는 대규모의 표본을 추출하여 보조정보를 수집하고, 이상에서는 수집된 보조정보를 활용하여 상대적으로 적은 규모의 표본을 추출하여 추정을 수행하는 통계적인 방법이다. 본 연구에서는 이상추출법을 활용하여 주어진 현실적인 제약하에서 최적의 표본을 추출하는 사례를 소개하였다. 전국에 흩어져 있는 장애인 모집단으로부터 효율적이며 수행 가능한 조사를 위한 표본을 추출하기 위하여 일상에서는 읍면동을, 그리고 이상에서는 장애인을 추출하는 방안이 고려되었다. 이를 위해 장애인 추출틀로부터 계산된 층화 및 표본 배분 방안이 일상에서 읍면동 추출을 위한 표본설계에 활용되는 방안이 제안되었었다. 본 사례 연구는 보조정보 수집이라는 전통적인 이상추출법의 사용 목적 이외에도 다양한 목적으로 이상추출법이 활용될 수 있음을 보여주고 있다. In survey sampling, auxiliary information is often used to select a representative sample and to define an efficient estimator. In general, the information given in sampling frame is used to select a sample but population summaries such as the size of population residents or households are used to define an estimator. Two-phase sampling is an applicable sampling design when useful auxiliary information is absent. To select a two-phase sample, a large scale sample is selected in the first phase, and auxiliary information is obtained. In the second phase, a relatively small sample is selected using the information obtained in the first phase. We propose an example in which an optimal sample is selected using a two-phase sampling design under the practical restriction. Two-phase sampling, for which a sample of up·myun·dong is selected in the first phase and a sample of disabled people is selected in the second phase, is considered to execute an efficient survey in person for disabled people reside over nationwide. To achieve this purpose, a method to get the necessary up·myun·dong sample size and allocation method from the distribution of disabled population is introduced. The example considered in this case study shows a possible extension of the use of a two-phase sampling design.