• 제목/요약/키워드: Traffic identification

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선박자동식별장치(AIS) 활용방안에 관한 연구 (A Study on the Application Plan of Automatic Identification System)

  • 양원재;정중식;임정빈;안영섭
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2003년도 춘계학술발표회
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    • pp.69-75
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    • 2003
  • 해상에서 인명과 재산을 보호하고 해양오염으로부터 환경을 보호하기 위하여 해양사고를 예방하고 사고발생 시에 신속하게 대처하는 능력이 중요시된다. SOLAS 협약 제5장에 따라 2002년 7월 1일부터 시행되기 시작한 AIS는 항해하는 선박에 대한 정보를 자동적으로 송수신함으로써 안전항해를 도모하기 위한 통신장비다. 본 논문에서는 AIS를 도입함으로써 기대되는 결과들을 조사하였다. 이를 위하여 선박충돌사고 중 인적요인에 의한 통계치를 분석하고 AIS도입의 긍정적인 효과를 강조하였다. 또 다른 한편으로 AIS도입에 따른 몇 가지 문제점들을 지적하고 그 해결방안을 제시하였다.

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선박자동식별장치의 효율적인 이용방안에 관한 연구 (A Study on the Enhancement of Utilization of Automatic Identification System)

  • 정중식;양원재
    • 해양환경안전학회지
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    • 제9권2호
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    • pp.15-21
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    • 2003
  • 본 논문은 IMO의 해사안전위원회에서 결의하고 SOLAS 협약 제5장에 따라 2002년 7월 1일부터 시행되기 시작한 선박자동식별장치(AIS)의 도입목적을 달성하기 위하여 선박 또는 VTS센터에서 성공적인 운영방안을 마련하고, AIS도입에 따라 나타날 수 있는 제반 문제점들을 체계화함으로써 향후 AIS 기술개발이 이용자 측면에서 실용성있게 이루어지도록 하기 위한 지침을 제공하는데 그 목적을 두고 있다. 이를 위하여 AIS의 기술적 특징분석, 국내외 제도분석, 해양사고 현황분석을 통하여 AIS를 선박, VTS센터 및 해상보안시스템에 이용하고자 할 때 나타나는 문제점을 지적하고 그 활용방안을 제시하였다.

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영상 객체인식기법을 활용한 지능형 영상검지 시스템 (Intelligent Video Event Detection System Used by Image Object Identification Technique)

  • 정상진;김정중;이동영;조성제;김국보
    • 한국멀티미디어학회논문지
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    • 제13권2호
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    • pp.171-178
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    • 2010
  • 무인감시시스템은 무선 칩 같은 기초적인 센서를 이용하는 분야는 많이 연구 되어 왔으며. 카메라를 주요 센서로 하는 영상감시체계 연구 분야가 활성화 되고 있다. 본 논문에서는 다양한 영상검지기법을 조사 분석한 결과를 토대로 영상 객체 인식 기법을 적용한 지능형 영상검지 시스템을 제안하였다. 이 지능형 영상검지 시스템은 사건 전후의 상황을 쉽게 추적 판단 할 수 있으며, 확실한 증거와 다양한 정보를 확보 할 수 있다. 따라서 본 논문에서 제안하는 지능형 영상 검지 시스템은 교통상황 관리, 재난 경보 등 다양한 무인감시시스템에 활용 될 것이다.

비행정보구역(Flight Information Region)의 효율적 관리를 위한 개선방안 연구 : 이어도(IEODO) 상공을 중심으로 (A Study on Ways of Improvement to Effectively Control the Flight Information Region focusing on air space of IEODO)

  • 김춘산;방장규
    • 한국항공운항학회지
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    • 제19권3호
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    • pp.43-53
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    • 2011
  • It is well known some Foreign aircraft used to fly INCHEON FIR(Flight Information Region), especially the island of IEODO without a flight plan, even though foreign aircraft is subject to submitting a flight plan to Flight Information Center(FIC) before its flight. IEODO is a sunken rock 4.6m beneath the sea level, 149km away from Marado. Facing the Yangtze river's sea entrance horizontally and military zones of Korea and China vertically, IEODO is a very important place for national security of North East Asia because it is located at the boundary between China East Sea and Yellow Sea of South Korea. Moreover, JDZ(the 7th mine lot) is just 77NM from IEODO, which possesses natural gas eight times bigger than the gulf region and oil 4.5 times bigger than that of the U.S. In addition, INCHEON FIR, managed by MLTM(Air Traffic Control Center) and Japanese Self-Defense Force's JADIZ(Japanese Air Defense Identification Zone) are overlapping on IEODO whose air space is very complex. This paper focuses on air space, FIR, ADIZ(Air Defense Identification Zone) and related airspace system and suggests strategic implications of how to prevent foreign aircraft from invading INCHEON FIR without permission and of how to utilize the airspace efficiently.

SOLAS AIS의 기술적 특성 분석 연구 (A Study on Technical Characteristics of SOLAS AIS)

  • 장동원;조평동
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2002년도 춘계종합학술대회
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    • pp.554-558
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    • 2002
  • 본 고에서는 2000년 12월에 개최된 국제해사기구(IMO) 제73회 해상안전위원회(MSC)에서 개정 채택된 해상인명안전조약(SOLAS)이 2002년 7월 1일부터 발효되는 일정 선박에서 탑재 의무화된 자동식별장치(AIS)의 기술적 특성에 대해서 기술하였다. AIS는 선박의 위치, 속도, 진행 방향 정보를 자동적으로 송수신하는 무선설비로, 선박 상호간과 선박과 육상국간에 정보를 교환해서의 충돌을 방지하고 운행 관리 효율성을 높인다. AIS는 국내외 전파관련법규 등에 규제를 받기에 AIS 구현 및 운용을 위해서 관련된 기술적 특성을 파악해야 한다.

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운전자의 위험운전 행동 분석을 통한 시내버스 안전운전 지원 서비스 기회 도출 (Identifying Service Opportunities for Enhancing Driving Safety of Intra-City Buses Based on Driving Behavior Analysis)

  • 김민준;임치현;이창호;김광재;전진우;박용성
    • 대한산업공학회지
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    • 제41권5호
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    • pp.499-510
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    • 2015
  • The purpose of this research is to identify new service opportunities for enhancing driving safety of intra-city buses based on driving behavior analysis. Service opportunity identification involves finding target customers of service (to whom), motivations for service (why), service contents (what), and service delivery process (when, where). This paper presents an analysis of driving behaviors using the operational data of intra-city buses in conjunction with traffic accident data and drivers' driving history data. This paper also presents four identified service opportunities based on the data analysis results. This research would contribute to enhancing driving safety of intra-city buses in Korea and serve as a basis for developing new services for driving safety enhancement.

Ship Number Recognition Method Based on An improved CRNN Model

  • Wenqi Xu;Yuesheng Liu;Ziyang Zhong;Yang Chen;Jinfeng Xia;Yunjie Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권3호
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    • pp.740-753
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    • 2023
  • Text recognition in natural scene images is a challenging problem in computer vision. The accurate identification of ship number characters can effectively improve the level of ship traffic management. However, due to the blurring caused by motion and text occlusion, the accuracy of ship number recognition is difficult to meet the actual requirements. To solve these problems, this paper proposes a dual-branch network based on the CRNN identification network. The network couples image restoration and character recognition. The CycleGAN module is used for blur restoration branch, and the Pix2pix module is used for character occlusion branch. The two are coupled to reduce the impact of image blur and occlusion. Input the recovered image into the text recognition branch to improve the recognition accuracy. After a lot of experiments, the model is robust and easy to train. Experiments on CTW datasets and real ship maps illustrate that our method can get more accurate results.

Efficacy and Safety of Blood Stasis Based Herbal Medicine for Patients with Traffic Accident : A Prospective Observational Study

  • Bong, Sung Min;Jo, Hyo Rim;Jang, Woo Seok;Choi, Seong Kyeong;Sung, Won Suk;Jung, Chan Yung;Lee, Seung Deok;Kim, Kyung Ho;Kim, Eun Jung
    • Journal of Acupuncture Research
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    • 제37권3호
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    • pp.151-160
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    • 2020
  • Background: Blood stasis (BS) is commonly used for pattern identification in traumatic injuries, including traffic accidents (TAs). Various studies have identified the efficacy of Korean medicine treatments for TA patients, but studies focusing on the BS-based herbal medicine (BSHM), including Tongdo-san (TDS), are rare. Methods: This was a single-center, prospective observational study, conducted from August 24th, 2018 to December 27th, 2018, which included 40 TA patients. Participants underwent routine Korean medicine treatments including acupuncture, electronic moxibustion, cupping, physical therapy, and herbal medicine. In the herbal medicine treatment, participants took BSHM with more than 3 days including taking TDS. The primary outcome measures were the scores from a 100 mm visual analogue scale (VAS) and numerical rating scale (NRS). Secondary outcome measures included scores from EuroQol-5 dimension (EQ-5D) and EQ-VAS questionnaires, the BS and cold/heat indices, and safety assessments. Results: There were significant improvements in the VAS, NRS, EQ-5D, EQ-VAS scores, and BS index after treatment. In the sub-analysis, VAS, NRS, EQ-5D, and EQ-VAS scores were higher in groups with a higher BS index. The moderate and severe BS index groups showed more improvement than the minor BS index group, and there was a significant difference in the EQ-5D scores. There was no significant differences observed in cold/heat index groups scores. Conclusion: BS is associated with TA-related symptoms. BSHM, including TDS, may significantly reduce BS, pain, and discomfort.

스테레오 비전 기술을 이용한 도로 표지판의 3차원 추적 (Three Dimensional Tracking of Road Signs based on Stereo Vision Technique)

  • 최창원;최성인;박순용
    • 제어로봇시스템학회논문지
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    • 제20권12호
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    • pp.1259-1266
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    • 2014
  • Road signs provide important safety information about road and traffic conditions to drivers. Road signs include not only common traffic signs but also warning information regarding unexpected obstacles and road constructions. Therefore, accurate detection and identification of road signs is one of the most important research topics related to safe driving. In this paper, we propose a 3-D vision technique to automatically detect and track road signs in a video sequence which is acquired from a stereo vision camera mounted on a vehicle. First, color information is used to initially detect the sign candidates. Second, the SVM (Support Vector Machine) is employed to determine true signs from the candidates. Once a road sign is detected in a video frame, it is continuously tracked from the next frame until it is disappeared. The 2-D position of a detected sign in the next frame is predicted by the 3-D motion of the vehicle. Here, the 3-D vehicle motion is acquired by using the 3-D pose information of the detected sign. Finally, the predicted 2-D position is corrected by template-matching of the scaled template of the detected sign within a window area around the predicted position. Experimental results show that the proposed method can detect and track many types of road signs successfully. Tracking comparisons with two different methods are shown.

V2X 및 환경 센서 융합 기반 교차로 안전 시스템 알고리즘 개발 (Development of Control Algorithm for Intersection Safety System Using the Fusion of V2X and Environmental Sensors)

  • 박만복;이상현;전시범;기석철;김정범;기창돈;김규원;이경수
    • 한국자동차공학회논문집
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    • 제22권5호
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    • pp.126-135
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    • 2014
  • This paper describes the development and verification of control algorithms for V2X and environmental sensor integrated intersection support and safety systems. The objective of the research is to develop core technologies for effective fusion of V2X and environmental sensors and to develop new safety function for intersection safety. One of core technologies is to achieve the improvement of GPS accuracy, and the other is to develop the algorithm of a vehicle identification which matches all data from V2X, vehicle sensors and environmental sensors to specific vehicles. A intersection optimal pass (IOP) algorithm is designed based on these core technologies. IOP recommends appropriate speed to pass the intersection in the consideration of traffic light signal and preceeding vehicle existence. Another function is developed to prevent a collision avoidance when car crash caused by traffic violation of surrounding vehicles is expected. Finally all functions are implemented and tested in three test vehicles. It is shown that IOP can support convenient and comfortable driving with recommending optimal pass speed and collision avoidance algorithm can effectively prevent collision caused by traffic sign violation of surrounding vehicles.