• 제목/요약/키워드: LANE

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무인차량 적용을 위한 차선강조기법 기반의 차선 인식 (Lane Recognition Using Lane Prominence Algorithm for Unmanned Vehicles)

  • 백준영;이민철
    • 제어로봇시스템학회논문지
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    • 제16권7호
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    • pp.625-631
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    • 2010
  • This paper proposes lane recognition algorithm using lane prominence technique to extract lane candidate. The lane prominence technique is combined with embossing effect, lane thickness check, and lane extraction using mask. The proposed lane recognition algorithm consists of preprocessing, lane candidate extraction and lane recognition. First, preprocessing is executed, which includes gray image acquisition, inverse perspective transform and gaussian blur. Second, lane candidate is extracted by using lane prominence technique. Finally, lane is recognized by using hough transform and least square method. To evaluate the proposed lane recognition algorithm, this algorithm was applied to the detection of lanes in the rainy and night day. The experiment results showed that the proposed algorithm can recognize lane in various environment. It means that the algorithm can be applied to lane recognition to drive unmanned vehicles.

허프변환과 차선모델을 이용한 효과적인 차선검출에 관한 연구 (Study on Effective Lane Detection Using Hough Transform and Lane Model)

  • 김기석;이진욱;조재수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.34-36
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    • 2009
  • This paper proposes an effective lane detection algorithm using hugh transform and lane model. The proposed lane detection algorithm includes two major components, i.e., lane marks segmentation and an exact lane extraction using a novel postprocessing technique. The first step is to segment lane marks from background images using HSV color model. Then, a novel postprocessing is used to detect an exact lane using Hugh transform and lane models(linear and curved lane models). The postprocessing consists of three parts, i.e, thinning process, Hugh Transform and filtering process. We divide input image into three regions of interests(ROIs). Based on lane curve function(LCF), we can detect an exact lane from various extracted lane lines. The lane models(linear and curved lane mode]) are used in order to judge whether each lane segment is fit or not in each ROIs. Experimental results show that the proposed scheme is very effective in lane detection.

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차선세척과 청소를 통한 고속도로 차선의 반사성능 변화 (Change in Reflection Performance of Highway Lanes Through Lane Washing and Sweeping)

  • 이성식;오흥운
    • 한국도로학회논문집
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    • 제20권1호
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    • pp.117-126
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    • 2018
  • PURPOSES : The purpose of this paper is to analyze the change in lane reflection performance through lane washing and sweeping on highway lanes. METHODS : This paper compared and analyzed the changes in lane reflection performance before and after lane washing and sweeping. The research method was as follows. First, we selected four research sites on the Gyeong-bu Highway. Second, the parameters affecting lane reflection performance are classified into luminance, brightness, and number of glass beads. Third, the change in reflection performance was measured after washing /sweeping at the same place after studying 60m of the unwashed/unswept area. Fourth, the measurement results were compared and analyzed before and after lane washing/sweeping. RESULTS : The results of this study are as follows. First, lane washing improved the luminance and brightness by 4.2~21.4% and 1.4~5.1%, respectively, and reduced the number of glass beads per wash by 0.2~1.2%. Second, lane sweeping improved the luminance and brightness by 2.3~8.5% and 0.8~2.3%, respectively, and reduced the number of glass beads per sweep by 0.8~4.9%. CONCLUSIONS : By comparing the results of lane washing and sweeping, it was found that compared to lane sweeping, lane washing improved the luminance and fewer glass beads were dropped.

An effective approach to lane detection in driver assistance system

  • Jiang, Gang-Yi;Hong, Suk-Kyo;Choi, Tae-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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    • pp.161-164
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    • 1999
  • An effective approach to lane detection in driver assistance system (DAS) is proposed, based on the decomposition of lane markings. The properties of the decomposed lane markings are discussed, and analyses on lane curvature are given. The current lane on road is detected quickly, the neighboring lane regions are also extracted for lane planning of the vehicle, and the parameters of lane structure are accurately estimated.

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Lane Adaptive Recovery for Multiple Lane Faults in Optical Ethernet Link

  • Han, Kyeong-Eun;Kim, Sun-Me;Lee, Jonghyun
    • ETRI Journal
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    • 제36권6호
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    • pp.1066-1069
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    • 2014
  • We propose a lane adaptive recovery scheme for multiple lane faults in a multi-lane-based Ethernet link. In our scheme, when lane faults occur in a link, they are processed not as full link faults but as partial link faults. Our scheme provides a higher link utilization and lower packet loss rate by reusing the available lanes of the link and providing a low recovery time of under a microsecond.

국내 다차로 고속도로 자료를 이용한 차로별 교통류 특성 분석 (Analysis of Lane-by-lane Traffic Flow Characteristics in Korea by Using Multilane Freeway Data)

  • 윤재용;김현명;이의은;양인철;전우훈
    • 한국도로학회논문집
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    • 제18권3호
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    • pp.87-94
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    • 2016
  • PURPOSES : This study analyzed the lane-by-lane traffic flow characteristics in Korea by using real-world data, including congestion levels, for 2-, 3-, and 4-lane freeways. METHODS : On the basis of a literature review, lane flow and speed characteristics were analyzed using flow measurements and speed ratios. In addition, the effect of congestion levels on traffic flow were visualized using rescaled cumulative plots. RESULTS : Driver behavior varied depending on the congestion level. During free-flow conditions, the lane-use ratio of individual lanes varied largely, whereas during congestion, the ratio was nearly the same for all lanes (i.e., equilibrium). During maximum-flow and congestion conditions, the median lane was used more than the shoulder lane, whereas during all other conditions, the shoulder lane had a higher lane-use ratio. In 3- or 4-lane freeways, the lane-use ratio of the median lane always exceeded 1 and was the highest during free-flow conditions. CONCLUSIONS : The results of the present analysis can be used as an index to predict congestion before a lane is overcapacitated. Moreover, the results can be applied in variable lane guidance systems, such as car navigation systems and variable message displays, to control traffic flow.

Development of A Lane Departure Monitoring and Control System

  • Huh Kunsoo;Hong Daegun;Stein Jeffrey L.
    • Journal of Mechanical Science and Technology
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    • 제19권11호
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    • pp.1998-2006
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    • 2005
  • The lane departure avoidance systems have been considered promising to assist human drivers in AVCS (Advanced Vehicle Control System). In this paper, a lane departure monitoring and control system is developed and evaluated in the hardware-in-the-loop simulations. This system consists of lane sensing, lane departure monitoring and active steering control subsystems. The road image is obtained based on a vision sensor and the lane parameters are estimated using image processing and Kalman Filter technique. The active steering controller for avoiding the lane departure is designed based on the lane departure metric. The proposed lane departure avoidance system is realized in a steering HILS (hardware-in-the-loop simulation) tool and its performance is evaluated with a driver in the loop.

차량의 후사경 폭과 횡방향 이격거리를 반영한 차로여유폭 산정 (Lane Spare Widths Reflecting Vehicles' Rearview Mirror Widths and Lateral Wheel Paths)

  • 유혜민;한만섭;오흥운
    • 한국도로학회논문집
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    • 제16권1호
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    • pp.41-48
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    • 2014
  • PURPOSES : The lane width of the domestic highway is 3.5 ~ 3.6m and it has been designed nationwide. However, the distribution of the average vehicle widths, rearview mirror widths and lateral wheel paths by region appear different. Then, lane spare widths may differ by region followingly. Thus, the flexible design of freeway lane widths is required. METHODS : The methodologies of this paper are as follows. First, vehicle widths rearview mirror widths lateral wheel paths of vehicles driven four national expressways were measured. Second, lane spare widths by vehicle widths were calculated. Third, lane spare widths reflecting rearview mirror widths were calculated by using interval estimation. Additionally, lane spare widths reflecting vehicles lateral wheel paths were calculated. RESULTS : The results of this paper are as follows. First, lane spare widths by vehicle widths ranges 0.83 to 0.95m. Second, lane spare widths reflecting rearview mirror widths ranges 0.518 to 0.747m at the confidence interval 95%. Third, lane spare widths reflecting vehicles' lateral wheel paths ranges -0.022 to 0.322m at the curved sections and the confidence interval 95%. CONCLUSIONS : It may be concluded that the present lane spare widths are relatively narrow at the curved section. Thus, there is a need to consider expanded lane widths at the curved sections. Additionally, there is a need to consider flexible design of lane widths by various conditions.

경량항공기용 착수대 안전성 확보에 대한 연구 (The study on the safety of Sea Lane for LSA)

  • 신대원
    • 한국항공운항학회지
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    • 제25권2호
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    • pp.1-11
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    • 2017
  • In this study, we surveyed the regulations of the Seaplane base and Sea Lane for the Light Sport Aircraft(LSA), and analyzed the water landing/takeoff roll distance of LSA in Korea. Based on the information, we presented the situation of the Sea Lane and the Sea Lane Protection Zone concept, to ensure the Rectangle type Sea Lane and the Omni direction type Sea Lane. We analyzed the availability elements of the safety of Sea Lane for LSA in Korea. A Rectangle type Sea Lane 350 meters long and 40 meters wide, the diameter 350 meters for the An Omni direction type Sea Lane.

다중센서 기반 차선정보 시공간 융합기법 (Lane Information Fusion Scheme using Multiple Lane Sensors)

  • 이수목;박기광;서승우
    • 전자공학회논문지
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    • 제52권12호
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    • pp.142-149
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    • 2015
  • 단일 카메라 센서를 기반으로 한 차선검출 시스템은 급격한 조도 변화, 열악한 기상환경 등에 취약하다. 이러한 단일 센서 시스템의 한계를 극복하기 위한 방안으로 센서 융합을 통해 성능 안정화를 도모할 수 있다. 하지만, 기존 센서 융합의 연구는 대부분 물체 및 차량을 대상으로 한 융합 모델에 국한되어 차용하기 어렵거나, 차선 센서의 다양한 신호 주기 및 인식범위에 대한 상이성을 고려하지 않은 경우가 대부분이었다. 따라서 본 연구에서는 다중센서의 상이성을 고려하여 차선 정보를 최적으로 융합하는 기법을 제안한다. 제안하는 융합 프레임워크는 센서 별 가변적인 신호처리 주기와 인식 신뢰 범위를 고려하므로 다양한 차선 센서 조합으로도 정교한 융합이 가능하다. 또한, 새로운 차선 예측 모델의 제안을 통해 간헐적으로 들어오는 차선정보를 세밀한 차선정보로 정밀하게 예측하여 다중주기 신호를 동기화한다. 조도환경이 열악한 환경에서의 실험과 정량적 평가를 통해, 제안하는 융합 시스템이 기존 단일 센서 대비 인식 성능이 개선됨을 검증한다.