• 제목/요약/키워드: FMTC

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자율주행시스템 개발을 위한 FMTC 가상주행환경 고도화 개발 (Development of Advanced FMTC Virtual Driving Environment for Autonomous Driving System Development)

  • 이빈희;허관회;이효진;이장우;윤종민;조성우
    • 자동차안전학회지
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    • 제14권4호
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    • pp.60-69
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    • 2022
  • Recently, the importance of simulation validation in a virtual environment for autonomous driving system validation is increasing. At the same time, interest in the advancement of the virtual driving environment is also increasing. To develop autonomous driving technology, a simulation environment similar to the real-world environment is needed. For this reason, not only the road model is configured in the virtual driving environment, but also the driving environment configuration that includes the surrounding environments -traffic, object, etc- is necessary. In this article, FMTC, which is a test bed for autonomous vehicles, is implemented in a virtual environment and advanced to form a virtual driving environment similar to that of real FMTC. In addition, the similarity of the virtual driving environment is verified through comparative analysis with the real FMTC.

정밀도로지도 제작을 위한 Web GIS 기반 HD Map 프로토타입 구축 연구 (A Study on Building the HD Map Prototype Based on Web GIS for the Generation of the Precise Road Maps)

  • 권용하;정윤재;조현지;구본엽
    • 한국지리정보학회지
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    • 제24권2호
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    • pp.102-116
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    • 2021
  • 4차 산업혁명의 대표라고 할 수 있는 자율주행차량의 안전한 운행을 위해서는 센서 기술, 소프트웨어 기술, 차량 기술 등 다양한 기술 조합이 필요하다. 자율주행차량은 차량 내에 탑재된 다양한 센서를 통해서 현재의 위치정보와 주변 상황을 인지하여 운전자에게 의존하지 않고 스스로 판단하고 주행하는 차량이다. 완전자율주행을 위해서는 완벽한 인지기술이 필요하고 정밀도로지도는 차선, 정지선, 신호등, 횡단보도 등에 대한 정보를 정밀하게 제공하고 있기 때문에 자율주행 차량에서 발생하는 인지 오차를 최소화시킬 수 있음으로, 신뢰성 있는 자율주행차량을 위해서는 도로 위 다양한 시설물들의 위치정보를 차량에 입력한 정밀지도 정보가 필수적이다. 본 연구에서는 정밀도로지도의 정의 및 필요성 국내외 동향을 분석하고 실제 운영되고 있는 대구광역시 자율주행특화지역(수성의료지구, 약 24km)과 세종특별자치시 행복도시(약 33km), 서울대학교 시흥캠퍼스 FMTC(Future Mobility Technical Center) PG(Proving Ground)를 대상으로 국토지리정보원 MMS(Mobile Mapping System) 측량 성과물을 활용하여 정밀도로지도 서비스인 Web GIS 기반 HD(High Definition) Map 프로토타입을 구축하였다. 추후 연구에서는 본 연구에서 구축한 정밀도로지도 서비스를 자율주행차량 및 관제 시스템에 탑재 시켜 실시간 위치검증 및 위치보정 알고리즘의 성능 검증을 진행하고자 한다.

RET Proto Oncogene Mutation Detection and Medullary Thyroid Carcinoma Prevention

  • Yeganeh, Marjan Zarif;Sheikholeslami, Sara;Hedayati, Mehdi
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권6호
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    • pp.2107-2117
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    • 2015
  • Thyroid cancer is the most common endocrine neoplasia. The medullary thyroid carcinoma (MTC) is one of the most aggressive forms of thyroid malignancy,accounting for up to 10% of all types of this disease. The mode of inheritance of MTC is autosomal dominantly and gain of function mutations in the RET proto-oncogene are well known to contribute to its development. MTC occurs as hereditary (25%) and sporadic (75%) forms. Hereditary MTC has syndromic (multiple endocrine neoplasia type 2A, B; MEN2A, MEN2B) and non-syndromic (Familial MTC, FMTC) types. Over the last two decades, elucidation of the genetic basis of tumorigenesis has provided useful screening tools for affected families. Advances in genetic screening of the RET have enabled early detection of hereditary MTCs and prophylactic thyroidectomy for relatives who may not show any symptom sof the disease. In this review we emphasize the main RET mutations in syndromic and non syndromic forms of MTC, and focus on the importance of RET genetic screening for early diagnosis and management of MTC patients, based on American Thyroid Association guidelines and genotype-phenotype correlation.

자율주행 차량의 실도로 주행을 위한 안전 시나리오 기반 인간중심 시스템 성능평가 (Toward Real-world Adoption of Autonomous Driving Vehicle on Public Roadways: Human-Centered Performance Evaluation with Safety Critical Scenarios)

  • 국윤영;이경수
    • 자동차안전학회지
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    • 제15권2호
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    • pp.6-12
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    • 2023
  • For the commercialization and standardization of autonomous vehicles, demand for rigorous safety criteria has been increased over the world. In Korea, the number of extraordinary service permission for automated vehicles has risen since Hyundai Motor Company got its initial license in March 2016. Nevertheless, licensing standards and evaluation factors are still insufficient for operating on public roadways. To assure driving safety, it is significant to verify whether or not the vehicle's decision is similar to human driving. This paper validates the safety of the autonomous vehicle by drawing scenario-based comparisons between manual driving and autonomous driving. In consideration of real traffic situations and safety priority, seven scenarios were chosen and classified into basic and advanced scenarios. All scenarios and safety factors are constructed based on existing ADAS requirements and investigated via a computer simulation and actual experiment. The input data was collected by an experimental vehicle test on the SNU FMTC test track located at Siheung. Then the offline simulation was conducted to verify the output was appropriate and comparable to the manual driving data.