• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1540-1543
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• 2013

최근 자동차 관련 연구 분야 중 안전사고 예방에 대한 관심이 높아짐에 따라 안전지능형 기술들의 연구가 활발히 이루어지고 있다. 졸음운전과 같이 운전자의 의지와 상관없는 무의식적인 차선 이탈은 중앙선 침범으로 이어져 대형 사고를 유발할 가능성이 크다. 이와 같은 요인들은 의식적인 상황에서의 차량의 통제를 방해하고 결국 예기치 않은 차선 이탈로 연결될 수 있다. 따라서 본 논문에서는 차선 이탈 여부를 미리 판단하여 주행차선을 이탈하기 전에 운전자게에 알려줌으로써 운전자의 안전을 향상 시켜주며 자동차 안전사고 예방기술에 관련하여 차선검출과 차선이탈경고시스템 알고리즘을 설계하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1553-1559
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• 2017

This paper proposes a lane departure detection algorithm using a single camera equipped in front of a vehicle. The proposed algorithm generates a partial top-view image for a small ROI (region of interest) designated on the top-view space form the image acquired by the camera, detects lanes on the small partial top-view image, and makes a decision on the lane departure by checking overlap between the pre-assigned virtual vehicle and the detected lanes. The proposed algorithm also includes the removal of lines occurred by road symbols (noises) disturbing the lane departure detection between lanes and the prediction of lost lanes using lane information of previous fames. In lane departure detection test using real road videos, the proposed algorithm makes the right decision of 99.0% in lane keeping conditions and 94.7% in lane departure conditions.

• Journal of Korea Multimedia Society
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• v.8 no.3
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• pp.428-437
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• 2005

In this paper, we developed lane departure warning system for lane departure situation of vehicle, accidentally. Color level of yellow lane of road side is changed to black and white level. And black and white level value of relevant pixel of original and yellow lane through added process of this are emphasized. In lane departure detection system, color image data processing method could improve the recognition of the yellow lane(central lane). We could get a system Performance of the high-speed image data Processing. Therefore, lane departure warning system will be utilized at the device for the safety going of the vehicle.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.3
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• pp.328-330
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• 2016

A lane departure warning system based on single lane mark detection is presented in this paper. The proposed system is focused on the robust detection of lane departure, even when one of the left or the right lane mark cannot be detected because of poor illumination or abrasion. Experimental results show that the proposed system warns lane departure, even if only a single lane is detected.

• The KIPS Transactions:PartB
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• v.16B no.1
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• pp.35-46
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• 2009

Lane extraction and lane departure warning algorithms using the image sensor attached in the vehicle are addressed. With the research about intelligent automobile, there have been many algorithms about lane recognition and lane departure warning system. However, since these algorithms require to detect 2 lanes, the high time complexity and the low recognition rate under various driving circumstances are critical problems. In this paper, we present a lane departure warning algorithm using single lane extraction and center point analysis that achieves the fast processing time and high detection rate. From the geometry between camera and objects, the region of interest (ROI) is determined and splitted into two parts. Hough transform detects the part of the lane. After the detected lane is restored to have a pre-determined size, lane departure is estimated by calculating the distance from the center point. On real driving environments, the presented algorithm is compared with previous algorithms. Experiment results support that the presented algorithm is fast and accurate.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.97-99
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• 2011

본 논문에서는 안전주행지원 솔루션인 스마트폰용 차선이탈경보 애플리케이션의 실행 속도 향상 방법을 연구하였다. 이전 연구에서 스마트폰(iPhone 3GS) 기반의 차선이탈경보 어플리케이션을 개발하였는데 입력 영상의 처리 속도가 1.52fps였다. 본 연구에서는 영상 처리 속도를 향상시키기 위한 최적화 작업을 진행하였으며 기존의 차선이탈경보 어플리케이션의 차선인식 속도보다 프레임당 평균 0.4초 정도 단축되어 약 4fps 속도로 성능을 보였다. 향후 추가 연구를 통해 처리 속도를 좀 더 향상시킬 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.815-818
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• 2016

Forward collision warning systems(FCWS) and lane departure warning systems(LDWS) need regions of interest for detecting lanes and objects as road regions. In general, the lane departure warning system using a vehicle front camera is tracking a lane curve using RANSAC or the like in the form of a straight line obtained image are compared with the center of the vehicle. This algorithm has weaknesses that requires a wide range of the lane being vulnerable to the curve. This paper presents an algorithm that checks whether the current lane departure by car from the Top-view space. The algorithm also can check whether the vehicle in the lane departure of the narrow range, and shows the result that is almost not affected by noise.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2793-2800
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• 2011

The purpose of this research is to develop and optimize a lane departure warning application based on a smartphone which can be applicable as a new platform for various mobile information applications. Recently, a lane detection warning system which is a representative application among safe driving assistant solutions is being commercialized. Due to the necessity of powerful embedded hardware platform and its price, its market is still not growing. In this research, it is proposed to develop and optimize a lane departure warning application on iPhone 3GS. OpenCV is used for efficient image processing, and for lane detection a heuristic algorithm based on Hough Transform is proposed. The application was developed under Macintosh PC platform with Xcode 3.2.4 development tools, downloaded to the iPhone and has been tested on the real paved road. The experimental result has shown that the detection ratio of the straight lane was over 90% and the processing speed was 1.52fps. For the enhancement of the speed, a few optimization methods were introduced and the fastest speed was 3.84fps. Through the improvement of lane detection algorithm, additional optimization works and the adoption of a new powerful platform, it will be successfully commercialized on smartphone application market.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1628-1631
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• 2010

본 연구에서는 최근 인기를 끌고 있는 스마트폰 중 하나인 Apple 사의 iPhone 3GS 용 차선이탈경보 애플리케이션 개발을 수행하였다. 국내외적으로 수행되고 있는 지능형 자동차 연구를 통해 개발된 다양한 안전주행 지원 기술들이 단계적으로 상용화되면서 자동차를 지능화시키고 있는 시점에서 고가의 안전주행 지원장치를 대체할 수 있는 플랫폼으로 스마트폰을 활용하고, 안전주행 지원기술을 애플리케이션으로 개발하여 사용자가 쉽고 저렴하고 편리하게 사용할 수 있는 제품을 개발하고자 하였다. Before-Market 에만 집중된 차선이탈경보장치 기능을 iPhone 에 적용하기 위해서 제한된 컴퓨팅 자원을 효율적으로 활용할 수 있는 차선인식알고리즘이 필요하고, 본 연구에서는 Hough Transform 기반의 알고리즘을 사용하였다. 이외에도 iPhone 이라는 플랫폼의 여러 가지 특징을 고려하여 애플리케이션을 개발하였다. 효율적인 영상처리를 위해 OpenCV 라이브러리를 사용하였고, 개발은 매킨토시 컴퓨터에서 개발 후 iPhone 에 탑재하여 확인하였다. 현재까지 개발된 애플리케이션의 기능에서 보완할 점은 차선인식률과 처리 속도를 향상 시키는 것이다. 2011 년 2 월까지 완제품을 개발하여 앱스토어에 등록하는 것을 목표로 하고 있으며, 향후 안드로이드용 애플리케이션도 개발할 계획이다.

• Journal of Advanced Navigation Technology
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• v.14 no.6
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• pp.791-799
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• 2010

In this paper, integrated navigation algorithm is designed for land transport sector which is needed high accuracy and monitoring program is developed for lane departure warning. High accuracy position information which is possible lane separation is needed for lane departure warning, so position detection algorithm based GPS/DR which combine GPS with dead reckoning is proposed. For the verification of the designed integrated navigation algorithm, we drived to acquire data and showed post-processing experiment results with monitoring program. Vehicle driving movie and aerial photograph in monitoring program is designed to show lane keeping and lane separation.