• Title/Summary/Keyword: 무인 자동차

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STANDARDS TREND - 스마트카 기술과 표준으로 실현되는 자율주행자동차

  • Lee, Chun
    • The Monthly Technology and Standards
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    • s.140
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    • pp.10-15
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    • 2013
  • 스마트카 기술은 무인자동차 또는 자율주행 자동차로 발전하는 핵심 기술로 자동차 산업과 ICT 산업이 발달한 우리나라에게는 성장 가능성이 높은 미래 기술이다. 스마트카 산업과 관련된 표준화 작업이 물밑에서 치열하게 벌어지고 있는 가운데 스마트카 분야에서 패스트팔로워가 아닌 시장을 선도하는 퍼스트무버가 되기 위한 과제들을 살펴본다.

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User Authentication Risk and Countermeasure in Intelligent Vehicles (지능형 자동차의 사용자 인증에 대한 위협 및 대응 기법)

  • Kim, Seung-Hwan;Lee, Keun-Ho
    • Journal of the Korea Convergence Society
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    • v.3 no.1
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    • pp.7-11
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    • 2012
  • Intellgent Vehles network capabilities can cause a lots of security issues such as data hacking, privacy violation, location tracking and so on. Some possibilities which raise a breakdown or accident by hacking vehicle operation data are on the increase. In this paper, we propose a security module which has user authentication and encryption functionalities and can be used for vehicle network system.

무선인터넷 기반의 소형무인선 개발

  • Kim, Hyo-Il;Jeon, Seung-Hwan
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.11a
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    • pp.1-2
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    • 2011
  • 최근 많은 분야에 무인시스템이 도입되고 있다. 초기에는 산업분야에서 인간이 하기 힘들거나 위험한 작업을 대신하는 단순 반복적인 자동화기술이 대부분이었으나, 최근에는 전자통신 기술발달에 힘입어 무인자동차, 무인항공기, 무인잠수정, 무인선박 등이 연구 개발되고 있다. 본연구에서는 자율형 소형무인선을 개발하고자 하였으며, 이와 관련하여 인터넷기반의 무선통신제어, 동력 추진 조타 냉각시스템, GPS 영상 헤딩센서 등 센싱시스템, 자율운항을 위한 제어기설계, GUI 등을 연구하였다. 아울러, 해상실험을 통해 유효성을 검증하였다.

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Cost-effective Sensor-based Scalable Automated Conveyance System (저비용 센서 기반의 확장 가능한 자동 운반 시스템)

  • Kim, Junsik;Jung, Woosoon;Lee, Hyung Gyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.26 no.1
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    • pp.31-40
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    • 2021
  • The important goal of the unmanned vehicle technology is on controlling the direction and speed of the vehicle with information acquired from various sensors, without the intervention of the driver, until the vehicle reaches to its destination. In this paper, our focus is on developing an unmanned conveyance system by exploiting low-cost sensing technology for indoor factories or warehouses, where the moving range of the vehicle is limited. To this end, we propose an architecture of a scalable automated conveyance system. Our proposed system includes a number of unmanned conveyance vehicles, and the efficient control mechanism of the vehicles without neither conflicts nor deadlock between the vehicles being simultaneously moved. By implementing the real prototype of the system, we successfully verify the efficiency and functionality of the proposed system.

Research of the Unmanned Vehicle Control and Modeling for Lane Tracking (차선인식을 위한 무인자동차의 차량제어 및 모델링에 관한 연구)

  • 김상겸;임하영;김정하
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.6
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    • pp.213-221
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    • 2003
  • This paper describes a method of lane tracking by means of a vision system which includes vehicle control and modeling. Lane tracking is considered one of the important technologies in an unmanned vehicle and mobile robot system. The current position and condition of the vehicle are calculated from an image processing method by a CCD camera. We deal with lane tracking as follows. First, vehicle control is included in the road model, and lateral and longitudinal controls. Second, the image processing method deals with the lane detection method, image processing algerian, and filtering method. Finally, this paper proposes a correct method for lane detection through a vehicle test by wireless data communication.

Research of the Unmanned Vehicle Control and Modeling for Obstacle Detection and Avoidance (물체인식 및 회피를 위한 무인자동차의 제어 및 모델링에 관한 연구)

  • 김상겸;김정하
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.5
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    • pp.183-192
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    • 2003
  • Obstacle detection and avoidance are considered as one of the key technologies on an unmanned vehicle system. In this paper, we propose a method of obstacle detection and avoidance and it is composed of vehicle control, modeling, and sensor experiments. Obstacle detection and avoidance consist of two parts: one is longitudinal control system for acceleration and deceleration and the other is lateral control system for steering control. Each system is used for unmanned vehicle control, which notes its location, recognizes obstacles surrounding it, and makes a decision how fast to proceed according to circumstances. During the operation, the control system of the vehicle can detect obstacles and perform obstacle avoidance on the road, which involves vehicle velocity. In this paper, we propose a method for vehicle control, modeling, and obstacle avoidance, which are evaluated through road tests.