• Title/Summary/Keyword: 자율주행 차

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Employment Trends in the Fourth industrial Revolution Era : Analysis of Hiring Trends of Autonomous Automobile Industry Related Companies (4차 산업혁명 시대의 채용경향: 자율주행자동차산업 관련 기업의 채용경향성 분석)

  • Hu, Sungho;Chang, Hyeyoung
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.1-8
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    • 2019
  • The purpose of this study is to analyze the employment trends of autonomous automobile industry which is related to the 4th Industrial Revolution. Previously, big data of the employment trends were divided into skill field and task field. As a result, if a company was employed in the field of skill field, it was required to have talent in which personality traits and innovation traits were prominent. Second, if the task field is a production worker, it is desirable to have talented person with outstanding personality traits. In addition, if the task field is management, it has been confirmed that communication qualities require outstanding talent. The results of this study suggest that it is possible to use the data as a basic data for finding an effective employment strategy by identifying the characteristics of the talented person and considering the suitability of the tendency of hiring.

Parameter Sensitivity Analysis of Autonomous Robot Vehicle for Trajectory Error and Friction Force (자율 주행 반송차의 궤적 오차와 마찰력에 대한 매개 변수의 민감도 해석)

  • 김동규;박기환;김수현;곽윤근
    • Transactions of the Korean Society of Automotive Engineers
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    • v.4 no.2
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    • pp.115-126
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    • 1996
  • In order to obtain the principal design data for developing the Autonomous Robot Vehicle(ARV), Sensitivity analysis on the trajectory error and friction force with respect to the dynamic parameters is performed. In the straight motion, the trajectory error has been proved to be much affected by the mass variance of the ARV while the lateral friction force is much affected by the location of the mass center. In the curved motion, the effect of mass and moment of inertia is considered importantly. In addition, the lateral offset gives more effect than the geometric dimension of the ARV on the trajectory errors and friction force.

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Smart Autonomous driving stroller using IR Sensor (IR 센서를 이용한 스마트 자율 주행 유모차)

  • Kim, Young-Ho;Nam, Seung-wan;Choi, Heewoong;Kim, Gisik;Moon, Beomseok;Park, Jinwoo;Hwang, Gwang-Il
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.1238-1240
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    • 2017
  • 본 논문에서는 현재 상용화 된 유모차들이 가지고 있는 불편함 및 예기치 못한 변수로 일어나는 사고에 대응할 수 있는 기능 등 한계점을 극복하고 보완 할 수 있는 기능들을 '스마트 자율 주행 유모차'라는 시스템을 통하여 소개한다. IR-LOCK 센서를 통하여 부모와 유모차 간 일정 거리를 유지하며 센싱 한 데이터를 BLDC 모터로 전송하여 상황에 맞는 움직임을 아두이노에서 제어하는 시스템이다. 몇 가지 예외적인 실험 상황에서는 불안정한 엑츄에이션이 있지만, 정교한 알고리즘을 통하여 최적화를 시켜간다면 완성도가 높은 제품으로 발전할 가능성이 있다. 더 나아가 이 시스템을 유모차에 제한하지 않고, 다른 분야에도 적용시킨다면 매우 기대가 되는 시스템이라고 판단된다.

A Study on Data Model Conversion Method for the Application of Autonomous Driving of Various Kinds of HD Map (다양한 정밀도로지도의 자율주행 적용을 위한 데이터 모델 변환 방안 연구)

  • Lee, Min-Hee;Jang, In-Sung;Kim, Min-Soo
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.1
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    • pp.39-51
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    • 2021
  • Recently, there has been much interest in practical use of standardized HD map that can effectively define roads, lanes, junctions, road signs, and road facilities in autonomous driving. Various kinds of de jure or de facto standards such as ISO 22726-1, ISO 14296, HERE HD Live map, NDS open lane model, OpenDRIVE, and NGII HD map are currently being used. However, there are lots of differences in data modeling among these standards, it makes difficult to use them together in autonomous driving. Therefore, we propose a data model conversion method to enable an efficient use of various kinds of HD map standards in autonomous driving in this study. Specifically, we propose a conversion method between the NGII HD map model, which is easily accessible in the country, and the OpenDRIVE model, which is commonly used in the autonomous driving industry. The proposed method consists of simple conversion of NGII HD map layers into OpenDRIVE objects, new OpenDRIVE objects creation corresponding to NGII HD map layers, and linear transformation of NGII HD map layers for OpenDRIVE objects creation. Finally, we converted some test data of NGII HD map into OpenDRIVE objects, and checked the conversion results through Carla simulator. We expect that the proposed method will greatly contribute to improving the use of NGII HD map in autonomous driving.

Technological Cooperation Network Analysis through Patent Analysis of Autonomous Driving Technology (자동차 자율주행 기술 특허분석을 통한 기술협력 네트워크 분석)

  • Lim, Ho-Geun;Kim, Byungkeun;Jeong, Euiseob
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.688-701
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    • 2020
  • This study analyzes the characteristics and change factors of technological cooperation networks in the automotive industry. Using Social Network Analysis (SNA) of 112,009 autonomous driving-related patents filed from 2000 to 2017 by major automotive firms in the world, we investigate the structure of the technological cooperation network. Network characteristics such as density are analyzed through structural characteristic analysis among the network analysis indicators. The structural characteristics of the technology cooperation network are confirmed through analysis of status characteristic indicators, such as the degree of centrality, betweenness centrality, and closeness centrality. Results show that car makers such as Toyota and Hyundai Motors, as well as parts suppliers such as Bosch and Continental, have high-performance technology developments related to autonomous driving. The structural characteristics of the network show that companies participating in cooperative networks for autonomous driving technology development have increased in number and are diversified, and all of the status characteristics indicators have decreased. This can be interpreted as an increasing number of horizontal and complementary forms of technological cooperation between firms. In addition, it was confirmed that the number of participants in the field of autonomous driving technology has increased, and the networks have become more complex.

Strategy for V2E Performance Assurance Technology Development Using the Kano Model (Kano 모델을 활용한 V2E 성능확보기술 개발 전략)

  • Jang, Jeong Ah;Son, Sungho;Lee, Jung Ki
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.2
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    • pp.75-82
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    • 2022
  • Automated vehicles (AVs) are coming to our roadways. In practice, there are still several challenges that can impede the AV sensors are polluted on various road conditions. In this paper, we propose a strategy for V2E performance assurance technology using Kano model. We are developing the vehicle sensor cleaning system about the three types of commonly used sensors: camera, radar, and LiDAR. Surveys were carried out in 30 AV's experts on quality characteristics about V2E performance assurance technology. As a result, the Kano model developed to verify a major requirement of autonomous vehicle's sensor cleaning system. It is expected that the Kano model will be actively used to verify the importance of V2E development strategy.

Proposal for Smart Port Traffic Control System Using IoT and Metaverse: Smart Traffic Lights for Self-driving Yard Tractors (IoT와 메타버스를 이용한 스마트 항만 교통제어 시스템 제안: 자율주행차를 위한 스마트 신호등)

  • Oh, Yuna;Shin, Yiseo;Jeon, Yerin;Han, Yea Song
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.1071-1073
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    • 2022
  • 본 논문은 항만 완전 자동화를 위하여, 자율주행 트랙터와 스마트 신호등을 도입한 IoT 기반 스마트 항만 교통제어 시스템을 메타버스를 통해 제안한다.

A vision sensor based on structured light for active sensor network (자율 센서 네트워크를 위한 스트럭쳐 라이트 기반 비전 센서)

  • Park, Joon-Suk;Song, Ha-Yoon;Park, Jun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.349-352
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    • 2007
  • 자율 센서 네트워크에서 센서 노드가 자율 주행하기 위해서 주행 경로 상의 장애물을 회피해야 한다. 이를 위해서 저렴하고 동적인 상황에서도 효과적인 장애물 탐지 비전 센서를 구현하였다. 이 연구에서는 Structured Light방식을 이용하였으며. Structured Light로는 라인 패턴의 적외선 레이저를 사용하였고 카메라에 적외선 필터를 장착하여 빛의 효과에 둔감하게 하였다. 값과 시간에 따른 2차 Thresholding으로 노이즈를 제거하였다. 실험 결과 센서 노드를 기준으로 한 2D 좌표계에서 최대 10mm의 오차로 장애물의 X, Y좌표를 찾을 수 있었으며 비전 센서의 프로그램은 객체화 하여 센서 노드 프로그램과 연동되어 장애물의 정보를 Localize와 Map building에 사용 할 수 있도록 제공한다.

The Fourth Industrial Revolution Core Technology Association Analysis Using Text Mining (텍스트 마이닝을 활용한 4차 산업혁명 핵심기술 연관분석)

  • Ryu, Jae-Han;You, Yen-Yoo
    • Journal of Digital Convergence
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    • v.16 no.8
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    • pp.129-136
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    • 2018
  • This study analyzed technology application field and technology transfer type related to the 4th industrial revolution using frequency, visualization, and association analysis of text mining of Big Data. The analysis was conducted between the last three years (2015 - 2017) registered with the NTB of KIAT transfer technology database was utilized. As a result of analysis, First, First, transfer technologies called core technologies of the Fourth Industrial Revolution are a lot of about robots, 3D, autonomous driving, and wearables. Second, as the year go by, transfer technolgy registration such as IoT, Cloud, VR is increasing. Third, the results of the association analysis of technology transfer type are as follows. IoT and VR showed preference for technology trading and licensing, autonomous driving technology trading, wearable licensing, robots preferring technology cooperation, licensing, and technology trading.

자동차 가속 주행 소음규제와 대책

  • 김준배
    • Journal of KSNVE
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    • v.5 no.2
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    • pp.158-162
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    • 1995
  • 자동차의 소음은 차실내 소음과 차외소음의 두가지로 나눌 수 있는데 소음은 자동차에 탑승하고 있는 사람들이 감성적으로 느끼는 것이어서 차량의 상품성에 직접적인 영향을 미치므로 자동차 제작자는 보다 더 정숙한 차실내 분위기를 만들기 위하여 자율적이 노력을 게을리 하지 않는 분야이며, 차외 소음은 산업화와 경제적 성장에 따른 자동차 수의 증가로 인하여 도로교통 소음에 크게 기여하므로 각국 정부 는 법률로써 이를 규제하고 있다. 소음을 포함한 환경오염 방지에 대한 관심이 고조 되는 가운데 도로 주변에서의 도로교통 소음은 주민의 일상생활 및 주게에 점점 더 크게 영향을 주게 되어, 국민이 소음측면에서 보다 더 편안한 생활을 할 수 있도록 정부는 가속주행소음, 배기소음, 경적소음 등 자동차로 기인하는 소음의 수준을 낮추고자 노력하여 왔다. 이 글에서 법규의 규제를 받고 있는 자동차로 기인하는 소음 중 도로교통소음에 기어가 큰 주행상태의 자동차 소음저감을 목표로 하는 가속 주행 소음 규제와 그 대책을 기술하였다.

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