• 제목/요약/키워드: Road Vehicle

검색결과 2,505건 처리시간 0.03초

대형 레이더 수송용 이동치구의 주행동특성 분석 (Analysis for the Dynamic Characteristics of the Moving Equipment for the large Radar Transportation)

  • 전종익;이종학;강영식;최지호;강동석
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2013년도 추계학술대회 논문집
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    • pp.416-421
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    • 2013
  • In this paper, the design concept of the transport of defense equipment and processes were established. And the transport of large radar equipment design were investigated. Detailed design of moving equipment with reference to the U.S. military standard was performed.Damping system of the moving equipment by using a simulation designed to predict In order to minimize shock and vibration in the vehicle due to the irregular road surface is transmitted through. Analysis of the damping system was verified using the driving test.

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접지면 중앙에서 수직방향 가진에 의한 타이어의 3차원 진동모드가 휠/축에 미치는 영향 (3-D Vibration Modes of the Tire in Ground Contact and Its Effects on Wheel and Axle When Excited by a Vertical Impact at the Center of Contact Patch)

  • 김용우;남진영
    • 대한기계학회논문집A
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    • 제28권4호
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    • pp.325-332
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    • 2004
  • Tire vibration modes are known to play a key role in vehicle ride and comfort characteristics. Inputs to the tire such as impacts, rough road surface, tire nonuniformities, and tread patterns can potentially excite tire vibration. In this study, experimental modal analysis on the tire with ground contact are performed by impacting the tire in the radial direction at the center of contact patch. To investigate which modes of tire influence the vibration of wheel and axle when the tire is in contact with ground, the vibration characteristics such as frequency response functions, natural frequencies and their mode shapes from tire to wheel/axle are examined.

시변주파수 분석을 이용한 저소음 타이어 설계 (The Reduction of Tire Pattern Noise Using Time-frequency Transform)

  • 황성욱;방명제;노국희;김선주
    • 한국소음진동공학회논문집
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    • 제16권6호
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    • pp.627-633
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    • 2006
  • The tire is considered as one of the important noise sources having an influence on vehicle's performance. The Pattern noise of a tire is the transmission sound of airborne noise. On smooth asphalt road, Pattern noise is amplified with the velocity. In recent, the study on the reduction of Pattern noise is energetically processed. Pattern noise is strongly related with pitch sequence. To reduce the pattern noise, tire's designer has to randomize the sequence of pitch. The FFT is a traditional method to evaluate the level of the randomization of the pitch sequence, but gives no information on time-varying, instantaneous frequency. In the study, we found that Time-Frequency transform is a useful method to non-stationary signal such as tire noise.

교량건전성 평가의 개선을 위한 상시진동시험 (Ambient Vibration Tests for Enhanced Bridges Integrity Assessment)

  • 이진학;이종재;이창근;이원태;윤정방
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 추계학술대회논문집
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    • pp.611-614
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    • 2004
  • In this study, ambient vibration tests are carried out to replace the current bridge integrity assessment using controlled vehicle test, which requires the traffic control and may induce public complains. Ambient vibration tests and output-only modal identification can be very effective approach to evaluate the bridge integrity because the ambient vibration tests can be performed very easily without trafnc control. The bridges in test road of Jungbu Inland Highway were tested and the results are discussed here.

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AHP를 이용한 교통사고 예방 (Prevention of Traffic Accident using AHP Rules)

  • 진현수
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2008년도 춘계학술발표논문집
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    • pp.157-159
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    • 2008
  • AHP를 사용하 교통망 사고 예방 처리 기법은 아직 우리나라에서는 처음 시도되어지는 예방법이라 할수 있다. 인공지능을 사용하여 사고처리하는 방법을 시도를 하였보았으나 그 외의 방법은 문외한이라 할수 있을 정도로 우리나라에서는 보기드문 현상이라 할수 있다. 따라서 계층분석기법을 사용하여 요소분석보다 훨씬 나은 처리방법이므로 좀더 나은 기법이 될 것 같고 다음으로 처리되는 방법의 기본 모티브가 될 영향이 크다라고 한다.

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Mean-Shift Blob Clustering and Tracking for Traffic Monitoring System

  • Choi, Jae-Young;Yang, Young-Kyu
    • 대한원격탐사학회지
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    • 제24권3호
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    • pp.235-243
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    • 2008
  • Object tracking is a common vision task to detect and trace objects between consecutive frames. It is also important for a variety of applications such as surveillance, video based traffic monitoring system, and so on. An efficient moving vehicle clustering and tracking algorithm suitable for traffic monitoring system is proposed in this paper. First, automatic background extraction method is used to get a reliable background as a reference. The moving blob(object) is then separated from the background by mean shift method. Second, the scale invariant feature based method extracts the salient features from the clustered foreground blob. It is robust to change the illumination, scale, and affine shape. The simulation results on various road situations demonstrate good performance achieved by proposed method.

Modal parametric changes in a steel bridge with retrofitting

  • Walia, Suresh Kumar;Vinayak, Hemant Kumar;Kumar, Ashok;Parti, Raman
    • Steel and Composite Structures
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    • 제19권2호
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    • pp.385-403
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    • 2015
  • This paper presents the status improvement of an old damaged deck type rural road steel truss bridge through the modal parametric study after partial retrofitting. The dynamic and static tests on bridge were carried out as in damaged state and after partial retrofitting. The dynamic testing on the steel bridge was carried out using accelerometers under similar environmental conditions with same speed of the moving vehicle. The comparison of the modal parameters i.e., frequency, mode shape mode shape curvature, modal strain energy, along with the deflection parameter are studied with respect to structural analytical model parameters. The status up gradation for the upper and downstream truss obtained was different due to differential level of damage in the bridge. Also after retrofitting the structural elemental behavior obtained was not same as desired. The damage level obtained through static tests carried out using total station indicated further retrofitting requirement.

SMART Highway환경에서 Counting BloomFilter를 활용한 차량 간 인증 기법 (Authentication between the vehicle scheme using Counting BloomFilter in SMART Highway)

  • 김수현;이임영
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2012년도 춘계학술발표대회
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    • pp.672-675
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    • 2012
  • SMART Highway 사업은 첨단 IT통신과 자동차 및 도로 기술이 접목된 세계 최고수준의 빠르고 편안한 지능형 녹색도로 실현을 목표로 하고 있다. SMART Highway의 도로-자동차 기반 교통운영에서 핵심기술인 VANET(Vehicular Ad-hoc Network)은 다수의 차량들이 무선통신을 이용하여 차량 간 통신 또는 차량과 RSU(Road Side Unit)사이의 통신을 제공하는 차세대 네트워킹 기술이다. 특히, 운전자의 안전에 직접적인 영향을 끼칠 수 있는 V2V 통신의 경우 차량 간의 안전한 통신을 위해 차량 간 상호인증이 반드시 고려되어야 한다. 이처럼 빠른 속도로 이동하는 차량 간 인증이 원활이 이루어지기 위해서는 기존의 네트워크에서 사용된 인증방식은 그대로 적용시키기 어렵다. 따라서 본 논문에서는 다수의 차량 간 통신 시에 보다 효율적인 차량 인증을 위해 카운팅 블룸필터를 이용한 차량 인증 기법을 제안한다.

차량용 UWB 레이다를 위한 DSP 기반의 신호처리 모듈 플랫폼 개발 (Development Based on Signal Processing Platform for Automotive UWB Radar System)

  • 주영환;김상동;이종훈
    • 대한임베디드공학회논문지
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    • 제6권5호
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    • pp.319-325
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    • 2011
  • Recently, collision avoidance systems are under development to reduce the traffic accidents and driver comfort for automotive radar. Pulse radar can detect their range and velocities of moving vehicles using range gate and FFT(Fast Fourier Transform) of the doppler frequency. We designed the real time DSP(Digital Signal Processing) based automotive UWB(Ultra Wideband) radar, and implemented DSP to detect the range and velocity within 100ms for real time system of the automotive UWB radar. We also measured the range and velocity of a moving vehicle using designed automotive UWB radar in a real road environment.

Improving Performance of YOLO Network Using Multi-layer Overlapped Windows for Detecting Correct Position of Small Dense Objects

  • Yu, Jae-Hyoung;Han, Youngjoon;Hahn, Hernsoo
    • 한국컴퓨터정보학회논문지
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    • 제24권3호
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    • pp.19-27
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    • 2019
  • This paper proposes a new method using multi-layer overlapped windows to improve the performance of YOLO network which is vulnerable to detect small dense objects. In particular, the proposed method uses the YOLO Network based on the multi-layer overlapped windows to track small dense vehicles that approach from long distances. The method improves the detection performance for location and size of small vehicles. It allows crossing area of two multi-layer overlapped windows to track moving vehicles from a long distance to a short distance. And the YOLO network is optimized so that GPU computation time due to multi-layer overlapped windows should be reduced. The superiority of the proposed algorithm has been proved through various experiments using captured images from road surveillance cameras.