• Title/Summary/Keyword: 무인자율주행차량

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ISSUE - 차량 대시보드, 신규 스크린으로 부상할까?

  • Gang, Jeong-Su
    • The Optical Journal
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    • s.160
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    • pp.17-19
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    • 2015
  • 최근 글로벌 디자인 업체인 Frog의 Cobie Everdell 크리에이티브 디렉터는 글로벌 차량 제조사들이 차량의 대시보드 UI 디자인을 재고할 필요가 있다고 주장했는데, 자율 주행 자동차(또는 무인 자동차) 도입 확대에 맞춰 차량 내 대시보드 역시 대형 스크린으로 전환되면서 음성이나 동작으로 제어가 가능한 형태로 진화할 것으로 전망

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Magnetic Markers-based Autonomous Navigation System for a Personal Rapid Transit (PRT) Vehicle (PRT 차량을 위한 자기표지 기반 무인 자율주행 시스템)

  • Byun, Yeun-Sub;Um, Ju-Hwan;Jeong, Rag-Gyo;Kim, Baek-Hyun;Kang, Seok-Won
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.297-304
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    • 2015
  • Recently, the demand for a PRT(Personal Rapid Transit) system based on autonomous navigation is increasing. Accordingly, the applicability investigations of the PRT system on rail tracks or roadways have been widely studied. In the case of unmanned vehicle operations without physical guideways on roadways, to monitor the position of the vehicle in real time is very important for stable, robust and reliable guidance of an autonomous vehicle. The Global Positioning System (GPS) has been commercially used for vehicle positioning. However, it cannot be applied in environments as tunnels or interiors of buildings. The PRT navigation system based on magnetic markers reference sensing that can overcome these environmental restrictions and the vehicle dynamics model for its H/W configuration are presented in this study. In addition, the design of a control S/W dedicated for unmanned operation of a PRT vehicle and its prototype implementation for experimental validation on a pilot network were successfully achieved.

Design of Near-Minimum Time Path Planning Algorithm for Autonomous Driving (무인 자율 주행을 위한 최단 시간 경로계획 알고리즘 설계)

  • Kim, Dongwook;Kim, Hakgu;Yi, Kyongsu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.5
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    • pp.609-617
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    • 2013
  • This paper presents a near-minimum time path planning algorithm for autonomous driving. The problem of near-minimum time path planning is an optimization problem in which it is necessary to take into account not only the geometry of the circuit but also the dynamics of the vehicle. The path planning algorithm consists of a candidate path generation and a velocity optimization algorithm. The candidate path generation algorithm calculates the compromises between the shortest path and the path that allows the highest speeds to be achieved. The velocity optimization algorithm calculates the lap time of each candidate considering the vehicle driving performance and tire friction limit. By using the calculated path and velocity of each candidate, we calculate the lap times and search for a near-minimum time path. The proposed algorithm was evaluated via computer simulation using CarSim and Matlab/Simulink.

Research of Virtual Environment and Sensor Modeling for Performance Assessment of Autonomous Navigation System (자율주행 성능분석을 위한 가상환경 및 센서 모델링 기법 연구)

  • Ahn, Myung-Kil;Lee, Seok-Jae;Park, Yong-Woon;Ko, Jung-Ho
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.6
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    • pp.10-15
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    • 2008
  • This paper describes virtual environment and sensor modeling to analyze and verify the performance of autonomous navigation system. Virtual synthetic environment is constructed with 6 subgroups which cover from virtual environment construction to virtual sensor modeling of real systems. This research is applied to validate and assess performance of concerned algorithms and complex functions for autonomous navigation system based on virtual environment.

The Development Trend Analysis of Autonomous Driving Technology for Unmanned Ground Combat Vehicles (지상무인전투차량 자율주행 기술 동향분석 및 발전방향)

  • Lee, Jin-Ho;Kim, Seok;Lee, Cheon-Soo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.5
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    • pp.760-767
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    • 2011
  • To strategically select the technology priority based on the understanding of technology development trends and prospects is very important. To provide such guidance for autonomous driving technology in unmanned ground combat vehicles, this report deals with followings; 1) The core technologies for autonomous driving are reviewed. 2) And domestic and foreign policies for relevant technology development are investigated. 3) Then, to estimate the technology development trend, the published patents and research papers are analyzed. 4) Based on those analyses, domestic technology level and development prospects are expected.

Genetic Algorithm Based 3D Environment Local Path Planning for Autonomous Driving of Unmanned Vehicles in Rough Terrain (무인 차량의 험지 자율주행을 위한 유전자 알고리즘 기반 3D 환경 지역 경로계획)

  • Yun, SeungJae;Won, Mooncheol
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.6
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    • pp.803-812
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    • 2017
  • This paper proposes a local path planning method for stable autonomous driving in rough terrain. There are various path planning techniques such as candidate paths, star algorithm, and Rapidly-exploring Random Tree algorithms. However, such existing path planning has limitations to reflecting the stability of unmanned ground vehicles. This paper suggest a path planning algorithm that considering the stability of unmanned ground vehicles. The algorithm is based on the genetic algorithm and assumes to have probability based obstacle map and elevation map. The simulation result show that the proposed algorithm can be used for real-time local path planning in rough terrain.

Development and Performance Analysis of Radar Signal Processing for Autonomous Unmanned Ground Vehicle (자율주행 무인차량용 레이더 신호처리부 개발 및 성능 분석)

  • Shin, Seung-Yong;Choi, Jun-Hyeok;Park, Sang-Hyun;Yeom, Dong-Jin;Kim, Jeong-Ryul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.4
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    • pp.514-522
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    • 2013
  • In this paper, we present signal processing procedure and carry out performance analysis of FMCW(Frequency Modulation Continuous Wave) radar for Autonomous Unmanned Vehicle(AUV). In order to detect range profile and velocity of the unknown target, we must implement two step FFT(Fast Fourier Transform) procedure. And the DBF(Digital Beam Forming) algorithm has to be performed to obtain the angle information of the unknown target. To verify the performance of manufactured autonomous unmanned ground vehicle FMCW radar, we use the data of the real corner reflecter target.

Unmanned Driving of Vehicle Using Guidance System Based on Magnetic Marker (자계표식기반 안내시스템을 이용한 차량의 무인주행)

  • Im, Dae-Yeong;Ryoo, Young-Jae;Choi, Min-Hyok
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2008.04a
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    • pp.67-70
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    • 2008
  • 본 논문에서는 자계표식기반 안내시스템을 이용한 차량의 무인주행을 제안한다. 자계기반 안내시스템에서 가장 중요한 것은 자계도로상의 자석의 위치예측이다. 자석의 위치를 예측하기 위하여 자석과 센서의 상관관계를 해석하여 도로에 매설된 자석의 위치를 검출하기 위한 배열형 자계표식위치인식센서를 개발하였다. 또한 자동모드와 수동모드의 동작을 위해 스텝모터를 이용한 조향제어장치를 개발하였다. 자율주행 실험을 위해 자계기반 자계도로를 구성하였다. 그리고 로봇형 차량을 자계도로에서 실험을 통해 실용성을 입증하였다.

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Cyclic Executive for Autonomous Driving with Real-Time Smart Cruise Control (순환실행체제를 이용한 무인 자율주행 실시간 스마트 크루즈 컨트롤)

  • Lee, Jaemyoun;Kang, Kyungtae;Noh, Dong Kun
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.1
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    • pp.1-8
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    • 2014
  • In recent years, much attention has been paid to the development of intelligent vehicles that integrate automotive technology into the information technology, with the aim of improving user friendliness and stability. The representative function is a autonomous driving and a cruise control. In designing such vehicles, it is critical to address the real-time issues (i.e., real-time vehicle control and timely response). However, previous research excluded the real-time scheduling. We develop a model car with unmanned cruise control, design the real-time scheduler using cyclic executive to easily adapt the model car, and provide some insight into potential solutions based on various experiments.

Design of Intelligent Parking System for Autonomous Vehicle at the Slant Space (자율주행 차량을 위한 지능형 경사 주차 시스템 설계)

  • Hao, Yang-Hua;Kim, Tae-Kyun;Choi, Byung-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.506-511
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    • 2008
  • Recently, it is widely progressed that the research of the performance improvement of an intelligent vehicle. Among them, its parking problem has attracted a great deal of attention and have been examined in many papers in the literature. In this paper we design a fuzzy logic based parking system at the slant parking space which is a important part for designing an autonomous parking system. We first design a parking path for the slant space and propose a fuzzy logic based parking algorithm. We present its simulation results and show the effectiveness of the proposed method.