• Journal of the Optical Society of Korea
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• 제17권2호
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• pp.188-199
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• 2013

This paper presents a novel algorithm for nighttime detection of the lane markers painted on a road at night. First of all, the proposed algorithm uses neighborhood average filtering, 8-directional Sobel operator and thresholding segmentation based on OTSU's to handle raw lane images taken from a digital CCD camera. Secondly, combining intensity map and gradient map, we analyze the distribution features of pixels on boundaries of lanes in the nighttime and construct 4 feature sets for these points, which are helpful to supply with sufficient data related to lane boundaries to detect lane markers much more robustly. Then, the searching method in multiple directions- horizontal, vertical and diagonal directions, is conducted to eliminate the noise points on lane boundaries. Adapted Hough transformation is utilized to obtain the feature parameters related to the lane edge. The proposed algorithm can not only significantly improve detection performance for the lane marker, but it requires less computational power. Finally, the algorithm is proved to be reliable and robust in lane detection in a nighttime scenario.

• 한국멀티미디어학회논문지
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• 제8권3호
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• pp.428-437
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• 2005

본 논문에서는 주행차량의 차선이탈상태를 경보해 주는 차선이탈경보시스템을 제안하였다. 도로상의 황색차선의 컬러값을 흑백레벨로 변환한 후 원래의 그 픽셀에 대한 흑백레벨과 더함으로서 황색차선에 대해 강조하는 방법을 이용하여 특정의 유색정보에 대한 인식률을 향상시킬 수 있다. 이에 본 연구의 컬러정보처리를 이용한 차선이탈경보시스템은 차량의 도로 주행 시 황색차선에 대한 강조처리로 차선인식률을 향상시킬 수 있으며, 컬러영상정보를 처리함에 있어서 실시간 고성능으로 처리하는 고속의 시스템을 얻을 수 있게 되었다. 따라서 본 시스템을 이용한 차선이탈경보장치는 도로주행 차량의 안전주행을 보장할 수 있을 것이다.

• 제어로봇시스템학회논문지
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• 제11권5호
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• pp.435-444
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• 2005

This paper presents a lane-departure identification (LDI) algorithm for a traveling vehicle on a structured road. The algorithm makes up for the weak points of the former method based on EDF[1] by introducing a Lane Boundary Pixel Extractor (LBPE), the well known Hough transform, and liner regression. As a filter to extract pixels expected to be on lane boundaries, the LBPE plays an important role in enhancing the robustness of LDI. Utilizing the pixels from the LBPE the Hough transform provides the lane-related parameters composed of orientation and distance, which are used in the LDI. The proposed LDI is based on the fact the lane-related parameters of left and right lane boundaries are symmetrical as for as the optical axis of a camera mounted on a vehicle is coincident with the center of lane; as the axis deviates from the center of lane, the symmetrical property is correspondingly lessened. In addition, the LDI exploits a linear regression of the lane-related parameters of a series of successive images. It plays the key role of determining the trend of a vehicle's traveling direction and minimizing the noise effect. Except for the two lane-related parameters, the proposed algorithm does not use other information such as lane width, a curvature, time to lane crossing, and of feet between the center of a lane and the optical axis of a camera. The system performed successfully under various degrees of illumination and on various road types.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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• pp.453-456
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• 2004

본 논문은 에지와 수평 투영을 이용하여 차선 및 장애물을 검출하는 기법을 제안한다. 제안방법은 칼라 입력 영상을 그레이 영상으로 바꾼 후, 소벨 변환을 통하여 에지를 검출한다. 에지를 이용하여 차선을 검출 한 후 차선의 영역 내에서 수평 투영을 하여 장애물을 검출한다. 실험 결과, 조명의 변화가 심하지 않은 장소에서 차선과 장애물의 검출이 용이함을 확인할 수 있었다.

• 대한교통학회지
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• 제11권3호
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• pp.67-82
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• 1993

The effects of passing lanes on traffic flow on rural two-lane highways have been investigated in this research. Field study results were compared with the computer simulation model, TRARR, TRARR model appears to be in good agreement with field study results except that average speed and distribution of platoon sizes showed a small amount of discrepancy, which is believed to be caused by too large a headway definition of 6 second for a vehicle platoon. Using the TRARR model, 4 situations including the existing condition, installation of passing lanes, improvement of design speed, and expansion to a four lane highway were evaluated. Traffic volume levels of 500,1000, and 1500 vph and truck composition of 20 and 40% were also considered making a total of 24 computer runs. It is concluded in this research that the installation of passing lanes is the most effective method to improve traffic operation on two-lane high ways except the alternative of four lane highway expansion.

• 한국자동차공학회논문집
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• 제13권3호
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• pp.48-57
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• 2005

This paper presents a novel algorithm in order to extract lane-related information based on machine vision techniques. The algorithm makes up for the weak points of the former method, the Edge Distribution Function(EDF)-based approach, by introducing a Lane Boundary Pixel Extractor (LBPE) and the well-known Hough Transform(HT). The LBPE that serves as a filter to extract pixels expected to be on lane boundaries enhances the robustness of machine vision, and provides its results to the HT implementation and EDF construction. The HT forms the accumulator arrays and extracts the lane-related parameters composed of orientation and distance. Furthermore, as the histogram of edge magnitude with respect to edge orientation angle, the EDF has peaks at the orientations corresponding to lane slopes on the perspective image domain. Therefore, by fusing the results from the EDF and the HT the proposed algorithm improves the confidence of the extracted lane-related information. The system shows successful results under various degrees of illumination.

• 한국ITS학회 논문지
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• 제12권6호
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• pp.29-36
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• 2013

본 연구에서는 구미시 일부지역을 대상으로 소개(疏開, 혹은 대피) 계획(evacuation planning)수립 기초연구를 위해 가능한 한 실제 네트워크 및 교통특성 자료를 기반으로 미시적 교통시뮬레이션을 이용하여 대안별 특성을 분석하였다. 긴급 상황이 발생했을 경우를 가정한 시뮬레이션을 통해 기존 교통신호 체계를 그대로 유지하는 경우에서의 소개시간과 본 연구에서 제안한 차로기반 경로유도(lane-based routing) 방식을 비교한 결과, 긴급 상황이 발생했을 시 기존 신호체계를 그대로 유지하는 경우에 있어 소개명령의 차이는 모든 차량을 소개시키는데 거의 영향을 미치지 않는 것으로 나타났다. 그에 비해 본 연구에서 제시한 차로기반 경로유도 방식의 경우 기존 방식에 비해 소개시간과 총 통행시간에서 각각 28~54%와 82~90%의 단축효과가 있음을 확인하였으며, 특히 소개시간을 짧게 해야 하는 급박한 상황이 발생했을 때 소개를 위한 시간단축을 확인하였다.

• 전자공학회논문지S
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• 제34S권11호
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• pp.126-137
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• 1997

This paper describes the algorithm which can estimate road following direction and deetect obstacle using a monocular vision system. This algorithm can estimate the course of vehicle using the vanishing point properties and detect obstacle by statistical method. The proposed algorithm is composed of four steps, which are lane prediction, lane extraction, road following parameter estimation and obstacle detection. It is designed for high processing speed and high accuracy. The former is achieved by a small area named sub-windown in lane existence area, the later is realized by using connected edge points of lane. We would like to present that the new mehod can detect obstacle using the simple statistical method. The paracticalities of the processing speed, the accuracy of the algorithm and proposing obstacle detection method, have been justified through the experiment applied VTR image of the real road to the algorithm.

• 대한임베디드공학회논문지
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• 제13권4호
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• pp.195-204
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• 2018

Lane keeping assist and departure prevention system are the key functions of ADAS. In this paper, we propose lane detection method which uses Gaussian function based RANSAC. The proposed method consists mainly of IPM (inverse perspective mapping), Canny edge detector, and Gaussian function based RANSAC (Random Sample Consensus). The RANSAC uses Gaussian function to extract the parameters of straight or curved lane. The proposed RANSAC is different from the conventional one, in the following two aspects. One is the selection of sample with different probability depending on the distance between sample and camera. Another is the inlier sample score that assigns higher weights to samples near to camera. Through simulations, we show that the proposed method can achieve good performance in various of environments.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.769-772
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• 2000

In this paper, a new lateral offset estimation method, based on image processing techniques, is proposed for driver assistant system. A new description on lane markings in the image plane is presented, and its properties are discussed and used to detect lane markings. Multi-frame lane detection and analysis are adopted to improve the proposed lateral control method. An algorithm for obstacle detection is also developed. Experimental results show that the proposed method performs lateral control effectively.