• Title/Summary/Keyword: 주행안전 시스템

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자율 주행 차량 기술 동향 및 방향

  • Lee, Jun-Yeong;Lee, Gyeong-Su
    • ICROS
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    • v.21 no.1
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    • pp.20-30
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    • 2015
  • 본 논문에서는 운전자의 안전 및 승차감을 향상시키기 위한 운전자 지원 시스템 기술의 개발 현황과 최근 연구 동향에 대해서 언급하고 있다. 더 나아가 운전자 지원 시스템의 궁극적인 목표인 자율 주행 제어 시스템을 구현하기 위해서 전세계적으로 활발히 진행되고 있는 연구 개발 현황 및 주요 이슈들에 대해서 간략히 언급하고 있다. 마지막으로 지능형 자동차 및 자율 주행 자동차의 개발에 따른 사회적 기대 효과를 다루고 실제 지능형 자동차 및 자율 주행 자동차 기술의 구현을 위해 남아있는 과제에 대해 간략히 언급하고 있다.

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Traffic Accidents Scenarios Based on Autonomous Vehicle Functional Safety Systems (자율주행차량 기능안전 시스템 기반 사고 시나리오 도출)

  • Heesoo Kim;Yongsik You;Hyorim Han;Min-je Cho;Tai-jin Song
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.264-283
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    • 2023
  • Unlike conventional vehicle traffic accidents, autonomous vehicles traffic accidents can be caused by various factors, including technical problems, the environment, and driver interaction. With the future advances in autonomous driving technology, new issues are expected to emerge in addition to the existing accident causes, and various scenario-based approaches are needed to respond to them. This study developed autonomous vehicle traffic accident scenarios by collecting autonomous driving accident reports, CA DMV collision reports, autonomous driving mode disengagement reports, and autonomous driving actual accident videos. The scenarios were derived based on the functional safety system failure modes of ISO 26262 and attempted to reflect the various issues of autonomous driving functions. The autonomous vehicle scenarios derived through this study are expected to play an essential role in preventing and preparing for various autonomous vehicle traffic accidents in the future and improving the safety of autonomous driving technology.

A Study on the Risk Analysis and Fail-safe Verification of Autonomous Vehicles Using V2X Based on Intersection Scenarios (교차로 시나리오 기반 V2X를 활용한 자율주행차량의 위험성 분석 및 고장안전성 검증 연구)

  • Baek, Yunseok;Shin, Seong-Geun;Park, Jong-ki;Lee, Hyuck-Kee;Eom, Sung-wook;Cho, Seong-woo;Shin, Jae-kon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.6
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    • pp.299-312
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    • 2021
  • Autonomous vehicles using V2X can drive safely information on areas outside the sensor coverage of autonomous vehicles conventional autonomous vehicles. As V2X technology has emerged as a key component of autonomous vehicles, research on V2X security is actively underway research on risk analysis due to failure of V2X communication is insufficient. In this paper, the service scenario and function of autonomous driving system V2X were derived by presenting the intersection scenario of the autonomous vehicle, the malfunction was defined by analyzing the hazard of V2X. he ISO26262 Part3 process was used to analyze the risk of malfunction of autonomous vehicle V2X. In addition, a fault injection scenario was presented to verify the fail-safe of the simulation-based intersection scenario.

obstacle detection and Unmanned driving management system in Drivable Area (주행영역 내의 장애물 탐지 및 무인주행 관리 시스템)

  • Buem-jun Kim;Hyeong-gi Jeon;Kyoung-hee Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.287-289
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    • 2023
  • 본 논문에서는 무인주행로봇에 적용할 수 있는 장애물 탐지 및 주행지역 이탈을 관리하는 시스템을 제안한다. 제안 시스템은 웹캠과 같은 일반적인 카메라를 활용하여 촬영되는 공간에서 무인주행로봇을 운용할 영역을 선정하고 운용영역내의 장애물 발생 여부를 판단한다. 제안 시스템은 카메라 위치 기준으로 촬영되는 버드뷰에서 무인주행로봇의 운용영역을 설정하고 탐지된 장애물의 정보를 제공하여 무인주행로봇의 주행에 있어 안전하고 효율적인 주행 기능을 제공할 수 있을 것으로 기대한다.

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Development of Smart Wheelchair System and Navigation Technology For Stable Driving Performance In Indoor-Outdoor Environments (실내외 환경에서 안정적인 자율 주행을 위한 스마트 휠체어 시스템 및 주행 기술 개발)

  • Lee, Lae-Kyoung;Oh, Se-Young
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.7
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    • pp.153-161
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    • 2015
  • In the present study, as part of the technology development (Quality of Life Technology, QoLT) to improve the socio-economic status of people with disabilities as an extension of these studies, we propose the development of the smart wheelchair system and navigation technology for stable and safe driving in various environments. For the disabled and the elderly make driving easy and convenient with manual/autonomous driving condition, we firstly develop the user-oriented smart wheelchair system with optimized sensors for environment recognition, and then we propose a navigation framework of a hierarchical structure to ensure real-time response, as well as driving stability when traveling to various environmental changes, and to enable a more efficient operation. From the result of several independent experiments, we ensure efficiency and safety of smart wheelchair and its navigation system.

The research of implementing safety driving system based on camera vision system (Camera Vision 기반 주행안전 시스템 구현에 관한 연구)

  • Park, Hwa-Beom;Kim, Young-Kil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.9
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    • pp.1088-1095
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    • 2019
  • The information and communication technology that is being developed recently has been greatly influencing the automobile market. In recent years, devices equipped with IT technology have been installed for the safety and convenience of the driver. However, it has the advantage of increased convenience as well as the disadvantage of increasing traffic accidents due to driver's distraction. In order to prevent such accidents, it is necessary to develop safety systems of various types and ways. In this paper implements a platform that can recognize LDWS and FCWS and PDWS by using a single camera without using radar sensor and camera fusion and stereo camera method using two or more sensors, and proposes to study multi-function driving safety platform using a single camera by analyzing recognition rate evaluation and validity on a vehicle.

Autonomous driving system for emergency situations (돌발 상황을 대비한 자율주행 시스템 구현)

  • Lee, Jung-Min;Jang, Se-Hui;Yoon, Yong-Ik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.181-184
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    • 2021
  • 자율주행 기술이 고도화됨에 따라 사용자가 주행 상황을 실시간으로 모니터링하고 주행을 제어할 수 있는 자율주행 서비스가 필요하다고 생각했다. 또한, 돌발 장애물을 고려하며 정해진 경로로 주행하는 자율주행을 구현하고자 해당 시스템을 설계하게 되었다. 해당 시스템은 차량, 서버, 애플리케이션으로 구성되어있으며 구성요소 간의 실시간 통신을 통해 차량 주행 상황 및 사용자 제어 명령을 자유롭게 전달하고자 했다. 차량의 자율주행 알고리즘을 구현하기 위해 이미지 데이터 처리에 효과적인 CNN을 활용하여 장애물 회피 모델과 라인 트레이서 모델을 구현하여 해당 모델들을 하나의 솔루션으로 통합하였다. 해당 솔루션 구현을 통해 차량이 마주할 수 있는 돌발 상황에 대처하는 자율주행의 안전성을 높이고자 했으며 자율주행 환경에서 사용자 조작을 용이하게 하고자 하였다.

자기부상열차의 속도/위치 검출 시스템

  • Kim, Geon;Shim, Jeong-Uk
    • 전기의세계
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    • v.43 no.5
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    • pp.44-47
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    • 1994
  • 자기부상열차의 효율적인 추력제어 및 안전성 높은 운행을 위해서 고성능의 속도/위치 검출 시스템이 중요한 역할을 한다. 일반열차는 바퀴가 선로에 접촉하여 주행하므로 차축의 회전속도를 측정해서 열차의 선로위를 일정한 간격을 두고 부상하여 주행하므로 비접촉식 측정방법을 사용해야만 한다[1-5]. 특히, 고속으로 주행하는 자기부상열차의 속도를 측정하기 위해서는 응답속도가 빠른 센서시스템을 개발하며, 또한 열차주행에 수반되는 자기장의 영향을 극소화하도록 센서시스템을 설계해야만 한다. 본고에서는 전형적인 자기부상열차인 일본의 HSST 시스템(주행속도 100km/h)과 독일의 Transrapid 시스템(주행속도: 400km/h)에 적용되고 있는 속도/위치 검출 시스템의 작동원리를 상세히 설명한다. HSST 시스템은 유도무선(inductive radio system) 방법을 이용하고 Transrapid 시스템은 와전류근접센서(eddy-current proximity sensor)를 이용한다.

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A Study on the Application of AI and Linkage System for Safety in the Autonomous Driving (자율주행시 안전을 위한 AI와 연계 시스템 적용연구)

  • Seo, Dae-Sung
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.95-100
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    • 2019
  • In this paper, autonomous vehicles of service with existing vehicle accident for the prevention of the vehicle communication technology, self-driving techniques, brakes automatic control technology, artificial intelligence technologies such as well and developed the vehicle accident this occur to death or has been techniques, can prepare various safety cases intended to minimize the injury. In this paper, it is a study to secure safety in autonomous vehicles. This is determined according to spatial factors such as chip signals for general low-power short-range wireless communication and micro road AI. On the other hand, in this paper, the safety of boarding is improved by checking the signal from the electronic chip, up to "recognition of the emotion from residence time in the sensing area" to the biological electronic chip. As a result of demonstrating the reliability of the world countries the world, inducing safety autonomous system of all passengers in terms of safety. Unmanned autonomous vehicle riding and commercialization will lead to AI systems and biochips (Verification), linked IoT on the road in the near future, and the safety technology reliability of the world will be highlighted.

Running Safety and Ride Comfort Prediction for a Highspeed Railway Bridge Using Deep Learning (딥러닝 기반 고속철도교량의 주행안전성 및 승차감 예측)

  • Minsu, Kim;Sanghyun, Choi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.6
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    • pp.375-380
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    • 2022
  • High-speed railway bridges carry a risk of dynamic response amplification due to resonance caused by train loads, and running safety and riding comfort must therefore be reviewed through dynamic analysis in accordance with design codes. The running safety and ride comfort calculation procedure, however, is time consuming and expensive because dynamic analyses must be performed for every 10 km/h interval up to 110% of the design speed, including the critical speed for each train type. In this paper, a deep-learning-based prediction system that can predict the running safety and ride comfort in advance is proposed. The system does not use dynamic analysis but employs a deep learning algorithm. The proposed system is based on a neural network trained on the dynamic analysis results of each train and speed of the railway bridge and can predict the running safety and ride comfort according to input parameters such as train speed and bridge characteristics. To confirm the performance of the proposed system, running safety and riding comfort are predicted for a single span, straight simple beam bridge. Our results confirm that the deck vertical displacement and deck vertical acceleration for calculating running safety and riding comfort can be predicted with high accuracy.