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[연구보문]

자율주행차량 사고조사를 위한 자율주행 시뮬레이션 필요성 및 방법론에 관한 연구

원문정보

A Study on the Necessity and Methodology of Autonomous Driving Simulation for Investigation of Autonomous Vehicle Traffic Accidents

김상중, 심동하, 김종혁, 최지훈, 전우정

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Many vehicles equipped with autonomous driving functions have been developed to increase driver convenience and secure safety, and are being driven on actual roads. Various sensors such as camera, radar and lidar to recognize surrounding objects are applied on the autonomous driving-based vehicles, and advanced technology to control the vehicles using data collected from the sensors is grafted on them. To identify the cause of an accident in autonomous vehicles, it is necessary to compare and analyze a large of scenarios. However, there are constraints of time and cost in the traditional field investigation, and as a result, it causes limitations in defect investigation. This paper will present the necessity of autonomous driving simulation and its methodology for analysis of the autonomous driving accident. The simulation software is Prescan which has been developed by SIEMENS.

목차

Abstract
Ⅰ. 서론
Ⅱ. 시뮬레이션의 필요성
Ⅲ. ADAS 및 자율주행 시뮬레이션
1. 주행 환경 모델링
2. 센서 모델링
3. 알고리즘 모델링
Ⅳ. 결론
Ⅴ. 참고문헌

저자정보

  • 김상중 Sangjoong Kim. SIEMENS, 서울과학기술대학교 MSDE 박사과정
  • 심동하 Dongha Shim. 서울과학기술대학교 MSDE 교수
  • 김종혁 Jonghyuk Kim. 국립과학수사연구원 교통과 감정관
  • 최지훈 Jihun Choi. 국립과학수사연구원 교통과 감정관
  • 전우정 Woojeong Jeon. 국립과학수사연구원 교통과 감정관

참고문헌

자료제공 : 네이버학술정보

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