• Title/Summary/Keyword: 무인자율주행차량

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A Study on algorithm for autonomous navigation of unmanned ground vehicle and its 3D graphical simulation (무인자동차의 안정성 기반 자율주행 알고리즘 및 3차원 그래픽 시뮬레이션 연구)

  • Cho, Young-Wan
    • Journal of IKEEE
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    • v.14 no.4
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    • pp.324-331
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    • 2010
  • 본 논문에서는 무인자동차의 자율주행을 위한 알고리즘을 제시하고 3차원 그래픽 시뮬레이션을 통하여 안정성 기반 자율주행 알고리즘의 성능을 검증하고자 한다. 제안된 자율주행 알고리즘은 주변 인접 차량의 위치, 속도, 가속도, 주행 차로 정보를 바탕으로 자율주행 차량과의 충돌가능성 및 충돌예측시간을 계산하여 최적의 안정 주로를 선택하고 이러한 주행 차로에 대한 주행 궤적을 생성하여 추종토록 함으로써 자율주행이 이루어지도록 한다. 본 논문에서는 제안된 자율주행 알고리즘을 검증하기 위하여 3차원 그래픽 시뮬레이션 환경을 구축하였으며 다차로, 다차량 주행 환경에서 몇 가지 가상 도로 환경을 구축하여 시뮬레이션 하였고 자율주행 차량의주행 궤적을 인접 주행차량의 주행 궤적과 비교 확인함으로써 알고리즘의 타당성을 검증하였다. 시뮬레이션 결과 제시된 안정성 기반 자율주행 알고리즘은 다차로, 다차량 주행 환경에서 주변 차량과 충돌 없이 안정적인주행 성능을 보여주는 것을 확인할 수 있었다.

무인차량의 자율주행을 위한 영상기반 지형분류 연구 동향

  • Seong, Gi-Yeol;Yun, Ju-Hong;Yu, Jun
    • ICROS
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    • v.15 no.1
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    • pp.29-36
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    • 2009
  • 무인차량의 야지 자율주행에 있어서 지형 및 환경 인식기술은 다양한 지형/지물에 대한 인식, 분류 및 융합을 통하여 최종적인 자율주행 및 임무 목적용 인식 맴을 제작하기 위한 기술이다. 병렬기구는 조립, 포장, 기계가공, 크레인, 수중공학, 항공 및 해양구조, 비행 및 3D 시뮬레이션, 위성 접시안테나 위치제어, 망원경 자세제어, 그리고 정형외과 수술 등 여러 분야에 사용되고 있다.

Reliable Multicast MAC Protocol for Cooperative Autonomous Vehicles (협력적 자율 차량을 위한 신뢰성있는 멀티케스트 MAC 프로토콜)

  • Kim, Jungsook;Kim, Juwan;Choi, Jeongdan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.3
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    • pp.180-187
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    • 2014
  • This paper introduces reliable multicast MAC protocol for cooperative unmanned vehicles. cooperative unmanned vehicles communicate with infrastructure and other unmanned vehicles in order to increase driving safety. They exchange information related to driving and thus it requires real-time and reliable multicast. However, the international vehicular communication standard, IEEE 802.11p WAVE, does not provide a reliable multicast scheme on the MAC layer. To address the problems of reliability, we propose a reliable multicast protocol called WiVCL, which avoids contention and collision. Our evaluation shows that the WiVCL achieves a high degree of reliability and real-time features.

How to Derive the Autonomous Driving Function Level of Unmanned Ground Vehicles - Focusing on Defense Robots - (무인지상차량의 자율주행 기능수준 도출 방법 - 국방로봇을 중심으로 -)

  • Kim, Yull-Hui;Choi, Yong-Hoon;Kim, Jin-Oh
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.205-213
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    • 2017
  • This paper is a study on the method to derive the functional level required for autonomous unmanned ground vehicle, one of the defense robots. Conventional weapon systems are not significantly affected by the operating environment, while defense robots exhibit different performance depending on the operating environment, even if they are on the same platform. If the performance of defense robot is different depending on operational environment, results of mission performance will be vary significantly. Therefore, it is necessary to clarify the level of function required by the military in order to research and develop most optimal defense robots. In this thesis, we propose a method to derive the required function level of unmanned ground vehicles, focusing on autonomous driving, one of the most vital functions of defense robots. Our results showed that the autonomous driving function depending intervention levels and evaluated functional sensitivity for autonomous driving of the unmanned vehicle using climate and topography as variables.

The Utilize V2X about to Autonomous Unmanned Forklift System (자율주행이 가능한 무인지게차 시스템에 대한 V2X 활용)

  • Lee, Jae-Ung;Jang, Jong-wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.229-231
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    • 2018
  • As autonomous vehicle technology has been gradually developed, robots that have introduced autonomous navigation systems have been actively involved in areas where there is a lot of livelihoods such as industrial sites and accident sites. For this reason, the unmanned transportation system equipped with the autonomous traveling system is widely used in harmful environments where human access is difficult. In addition, the introduction of the autonomous driving system reduces the collision and casualties that occur in a mobility environment like the industrial field, and it helps the efficient work process. In addition, autonomous driving vehicles can be handled more safely and quickly in a wider area by transmitting the surrounding environment of each vehicle to a server connected to each autonomous driving vehicle and passing it through the main server. In this paper, by utilizing V2X communication for autonomous unmanned forklift system, it can increase industrial workload, reduce loss of life and damage to property through wide area forklifts.

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Parking Location Control Algorithm for Self-Driving Cars (자율주행 자동차를 위한 주차 위치 제어 알고리즘)

  • Tariq, Shahroz;Park, Heemin
    • KIISE Transactions on Computing Practices
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    • v.22 no.12
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    • pp.654-662
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    • 2016
  • With the advent of autonomous cars, we explored the problems which will soon arise while parking in car parks. These include structure of parking lot suitable for autonomous cars, finding the closest parking slot available, and navigation to the location. We provide an initial solution, wherein we use a central server and the graph of the parking lot to guide cars to the closest parking slots available. Our experiments have shown that the proposed method is effective for the controlled parking for self-driving cars.

Intelligent unmanned vehicle development and evaluation (지능형 무인 모형자동차 개발 및 평가)

  • Kim, Ho-Geum;Sin, Jae-Hoon;Jung, Jin-Hyun;Che, Geoung-Sik;Han, Moon-Su
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.105-106
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    • 2015
  • 무인 자율 자동차는 사람이 차량 제어에 개입할 수 있는 일반적인 '무인 자동차'와는 달리 센서, 메라와 같은 '장애물 인식장치'와 GPS모듈 과 같은 '자동 항법 장치'를 기반으로 조향, 변속, 가속, 브레이크를 도로환경에 맞춰 스스로 제어해 목적지까지 주행할 수 있는 차량을 의미한다. 따라서 무인 자율 주행 자동차에는 차량제어기술, 차선인식기술, 충돌 회피 기술 등이 필요 하며 이를 위해 각종 센서뿐만 아니라 센서 네트워크, 컴퓨터비전, 인공지능 등의 다양한 기술들이 접목되어야 한다. 본 논문은 소형 무인자동차의 제작을 통한 알고리즘과 그 평가에 대해서 나타낼 것이다.

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Navigation of Unmanned Vehicle Using Relative Localization and Magnetic Guidance (상대위치인식과 자계안내를 이용한 무인주행차량의 주행기법)

  • Lee, Yong-Jun;Ryoo, Young-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.430-435
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    • 2011
  • In this paper, a navigation technology of an unmanned vehicle using relative localization and magnetic guidance is proposed. Magnetic guidance system had been developed as a robust autonomous driving technology as long as magnetic fields on the path are detected. Otherwise, if magnetic fields were not detected due to some reasons, the vehicle could not drive. Therefore, in order to overcome the drawback, we propose that relative localization would be combined to magnetic guidance system. To validate the usefulness of the proposed method, a robotic vehicle was set up with the magnetic guidance system and the relative localization. In addition, the unmanned driving test was realized on the road without the magnetic fields so that the proposed method is verified by the experiment.

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.

Implementation of an Autonomous Vehicle System for Urban Environment (도심 환경에 적합한 자율주행차량 시스템의 구현)

  • Han, Sungjoon;Kim, Seongjae;Jang, Ho Hyeok;Moon, Beomseok;Park, Seonghyeon;Lee, Young-Sup
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.621-622
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    • 2019
  • 본 논문은 도심 환경하에서 운행 가능한 자율주행차량 시스템의 구현 방안에 대해 다루고 있다. 현대자동차가 주최한 2019 대학생 자율주행 경진대회는 도심 환경을 재현한 K-City 에서 열렸고, 도심 환경에서 발생할 수 있는 돌발 장애물 인지, 공사 구간 우회, 교차로 신호등 인지, 사고 차량 회피, 응급 차량에게 차선 양보 및 톨게이트 통과 등의 6 개의 미션을 자율주행차량이 무인운전으로 수행하는 것이었다. 이 대회를 위해 본 연구팀에서 개발한 자율주행 시스템은 리웍된 실제 차량에 탑재되어 대회장의 모든 주행 미션을 성공적으로 수행하였다.