• 제목/요약/키워드: Data storage system for automated driving

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국과수 데이터베이스를 활용하여 자율주행차 사고조사 가이드라인 개발을 위한 교통사고 유형 분류 및 특성 분석 연구 (Traffic Accident Type Classification and Characteristic Analysis Research to Develop Autonomous Vehicle Accident Investigation Guidelines Using the National Forensic Service Data Base)

  • 인병덕;박다영;박종진
    • 자동차안전학회지
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    • 제16권1호
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    • pp.35-41
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    • 2024
  • In order to verify autonomous driving scenarios and safety, a lot of driving and accident data is needed, so various organizations are conducting classification and analysis of traffic accident types. In this study, it was determined that accident recording devices such as EDR (Event Data Recorder) and DSSAD (Data Storage System for Automated Driving) would become an objective standard for analyzing the causes of autonomous vehicle accidents, and traffic accidents that occurred from 2015 to 2020 were analyzed. Using the database system of IGLAD (Initiative for the Global Harmonization of Accident Data), approximately 360 accident data of EDR-equipped vehicles were classified and their characteristics were analyzed by comparing them with accident types of ADAS (Advanced Driver Assistance System)-equipped vehicles. It will be used to develop autonomous vehicle accident investigation guidelines in the future.

자율주행자동차 데이터 기록장치의 기록 조건 및 항목에 대한 방향성 연구 (A Study on the Direction of Data Triggers and Elements for Automated Vehicle Data Recorder)

  • 강희진;우나은;박기옥;송지현
    • 자동차안전학회지
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    • 제15권4호
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    • pp.71-78
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    • 2023
  • This study presents the direction of data triggers and elements to be recorded in automated vehicles in the future in relation to the event data recorder (EDR) and data storage system for automated driving (DSSAD). It does not distinguish between the EDR and DSSAD, but suggests data triggers and elements in preparation for overall automated vehicle accidents and dangerous situations. To propose, the current status of discussions on EDR/DSSAD internationally and the case of investigating accidents with automated vehicles under temporary driving licenses in Korea were analyzed. Based on the analysis, the direction of data triggers and elements of the EDR/DSSAD of automated vehicles were presented.

자동차 전용도로 자율주행 데이터 분석을 통한 DSSAD 기록항목 도출 (A Study of the DSSAD Data Elements Derivation through Autonomous Driving Data Analysis on Expressways)

  • 현승화;손진우;오영철;유병용
    • 한국ITS학회 논문지
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    • 제23권3호
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    • pp.97-106
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    • 2024
  • Lv.4 이상의 자율주행차량의 주행 정보를 기록하는 자율주행 데이터기록장치(DSSAD)는 사고뿐만 아니라 차량의 상태에 대한 정보를 추가적으로 저장한다는 점에서 기존의 EDR과 차별점이 있으며, 이에 대한 기록항목을 도출하는 것은 추후 Lv.4 자율주행차량 상용화 시 발생할 수 있는 다양한 이벤트에 대응하기 위해 필수적이다. 이에 본 연구에서는 자율주행차량을 활용한 자동차전용도로 실증을 수행하고 수집된 위험상황 데이터를 분석하여 DSSAD의 기록 항목을 도출하였다. 본 연구에서는 약 2년간 자동차전용도로 자율주행 실증을 수행하였으며, 그 과정에서 발생한 제어권 전환 상황을 수집, 분석하였고 그 결과 자동차전용도로에서의 제어권 전환은 차선 변경 상황에서 51.6%가 발생함을 확인하였다. 이를 통해 제어권 전환 상황 분석에 필요한 DSSAD 기록항목으로 차선 변경 상태 정보를 도출하였으며, 향후 제어권 전환 상황 분석 연구에 대한 시사점을 제시하였다.

교통사고 사례를 통한 자율차 사고기록장치 방향성 연구 (Study on the Direction for Event Data Recorders of Autonomous Vehicle through the Analysis of Traffic Accidents in Korea)

  • 강희진;박기옥;이요셉;소재현;윤일수
    • 자동차안전학회지
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    • 제13권4호
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    • pp.60-65
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    • 2021
  • The event data recorders (EDR) have been used as a device to help understand traffic accidents. With the recent development of autonomous vehicle (AV), it has become important to prepare the new EDR for AV. Therefore, the purpose of this study is to propose the direction of EDR-AV recording. First of all, the recent EDR data elements and the data elements of AV under discussion at UNECE WP29 EDR/DSSAD (Data Storage System for Automated Driving) were analyzed. The consumer complaint database in Motor Vehicle Recall Center in Korea was analyzed in order to utilize cases of domestic traffic accidents related to advanced driver assistance systems (ADAS). Consequently, problems with existing EDR were identified through unclear accident cases related to ADAS. In the future, it was proposed to record images in which the ADAS perception systems recognize the surroundings of the accident site as an EDR-AV recording item.