http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
이기용(kiyong Lee),이준웅(Joonwoong Lee) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper proposes an approach to extract generic obstacles on roads using remapped stereo images to an overhead view. The proposed approach uses the fact that the information of road surface on the remapped image is distorted by an obstacle, and formulates the generic obstacle detection (GOD) problem as a dynamic programming (DP), which contributes to search for corresponding peaks on polar histograms constructed by vertical edge components of the remapped stereo images. The corresponding peaks determine the estimates of obstacles' positions. The approach has features that it is not largely affected by intensity difference between a pair of stereo images and does not depend on the typical stereo matching, and identifies the obstacle's position quite well.<br/>
[I.T.S 부문] 지능형 순항 제어를 위한 구동력/제동력 제어 알고리듬
이세진(Sejin Lee),이경수(Kyongsu Yi),이준웅(Joonwoong Lee) 한국자동차공학회 2000 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
A throttle/brake control law for the intelligent cruise control(ICC) systems has been proposed in this paper. The ICC system consists of a vehicle detection sensor, the control algorithm and a throttle/brake actuators. The control performance has been investigated through vehicle tests. The test vehicle is equipped with a MMW radar sensor, an Intel 80C196 controller, a solenoid-valve-controlled Electronic-Vacuum-Booster (EVB) and a step-motor controlled throttle actuator. The results indicate the proposed throttle/brake control laws can provide satisfactory vehicle-to-vehicle distance and velocity control performance.
차선 인식 성능 개선을 위한 이미지 상의 새로운 차선 모델 개발
박종웅(Jongwoung Park),이준웅(Joonwoong Lee),장경영(Kyungyoung Jhang) 한국자동차공학회 2002 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2002 No.5_3
Recently, there are many researches for lane detection technology, which is the main sensing method for a lane departure warning system, a lateral control system, a collision warning system, and a collision avoidance system. In this paper, a robust and simple lane curve detection system was developed, which has no needs of camera calibration data and correlation data of lane and camera. For this, LCF(Lane Curve Function) was found out by using the relationship between world coordinate lane, approximate parabola model, and image coordinate lane. Also, to detect the lane curve, LEAF(Lane Edge Accumulation Function) was proposed by the edge map data of LROI(Lane Region ofInterest), which surrounded LCF closest to the real lane image. The proposed algorithm was experimented to the real road images, which was composed of various lane curves. The detected lane curve approximated the real road curve. And, the applicability of the proposed lane detection system was proved.