• Title/Summary/Keyword: 주행조건

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MIMO Antenna Design and Beam Pattern Verification for W-band Autonomous Driving Radar (W대역 자율주행 레이다용 MIMO 안테나 설계 및 빔 패턴 검증 방법)

  • Changhyun Lee;Junhyeok Choi;Milim Lee;Shinmyong Park;Seungyeol Baek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.5
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    • pp.123-129
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    • 2023
  • MIMO antenna is a field in which various researches have been actively conducted for a long time, and its design concept is universally well known. However, Unlike conventional MIMO antennas, MIMO antennas for autonomous driving radars, which have recently been attracting attention, are designed in W-band which is a millimeter wave band, and must also meet novel design conditions to satisfy the performance of autonomous driving radars. Therefore, a novel and different approach is required for the design and beam pattern verification of the MIMO antenna for autonomous driving radar. In this paper, a MIMO antenna is designed and the design process to satisfy the conditions of a W-band autonomous driving radar is introduced, and proposes a beam pattern verification method for a W-band MIMO antenna mounted on an autonomous driving radar system.

A Development of the Multi-Function Vertical Digital Automatic Welding Carriage With the Display Type by MICOM (마이컴에 의한 표시형 다기능 수직 상승 자동 용접케리지 개발)

  • Kim, D.W.;Shin, D.R.;Hwang, Y.M.;Woo, J.I.;Anh, I.M.
    • Proceedings of the KIEE Conference
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    • 2002.06a
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    • pp.34-37
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    • 2002
  • 본 연구에서는 표시형 디지털 정속주행 자동용접캐리지를 개발하고자 한다. 먼저, 용접조건을 결정하는 전류와 전압값의 입력과 출력을 디지털 입력스위치와 D/A 컨버터 출력회로를 구성하여 디지털 제어를 구성한다. 또한 디스플레이제어기의 구성은 정확한 용접조건에 의해서 용접할 수 있는 환경을 설정하여 용접의 효율성을 높이고자 한다. 시스템 제어기는 저가격과 출력전류의 특성이 개선된 RISK-Like 방식의 PIC16C74A를 이용하여 가격과 부피 및 노이즈에 강한 제어기를 구성하였다. 위빙 및 주행모터의 효율성과 응답특성을 개선하기 위해서 디지털 제어기(Digital PID Controller)를 설계하고. 이 제어기법을 이용하여 PWM인버터를 설계 및 제어 사용하여 용접 조건과 효율을 개선하였다.

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Effect of Guidance Information Receiving Ratio on Driver's Route Choice Behavior and Learming Process (교통정보 수신율 변화에 따른 운전자의 경로선택과 학습과정)

  • Do, Myung-Sik;Sheok, Chong-Soo;Chae, Jeung-Hwan
    • Journal of Korean Society of Transportation
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    • v.22 no.5
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    • pp.111-122
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    • 2004
  • The driver's decision making (e.g. route choice) is a typical decision making with an uncertainty. In this paper, we investigate the effect of route guidance information on driver's route choice and learning behavior and analyse the potential of information system in a road network in which traffic flows follow random walk. A Simulation performed focuses on the relationship among the network wide performance, message receiving rates and driver's learning mechanism. We know that at high levels of message receiving rates, the network-wide performance may get worse. However, at low levels of receiving rates, we found that the travel time when guidance information is provided decrease compared to the cases when no pubic information is provided. Also, we found that the learning parameter of the learning mechanism model always changes under nonstationary traffic condition. In addition, learning process of drivers does not converge on any specific value. More investigation is needed to enlarge the scope of the study and to explore more deeply driver's behavior.

Application of Recent Approximate Dynamic Programming Methods for Navigation Problems (주행문제를 위한 최신 근사적 동적계획법의 적용)

  • Min, Dae-Hong;Jung, Keun-Woo;Kwon, Ki-Young;Park, Joo-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.6
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    • pp.737-742
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    • 2011
  • Navigation problems include the task of determining the control input under various constraints for systems such as mobile robots subject to uncertain disturbance. Such tasks can be modeled as constrained stochastic control problems. In order to solve these control problems, one may try to utilize the dynamic programming(DP) methods which rely on the concept of optimal value function. However, in most real-world problems, this trial would give us many difficulties; for examples, the exact system model may not be known; the computation of the optimal control policy may be impossible; and/or a huge amount of computing resource may be in need. As a strategy to overcome the difficulties of DP, one can utilize ADP(approximate dynamic programming) methods, which find suboptimal control policies resorting to approximate value functions. In this paper, we apply recently proposed ADP methods to a class of navigation problems having complex constraints, and observe the resultant performance characteristics.

Effects of Rear Diffuser Size on the Driving Performance of a Passenger Car (자동차의 주행 성능에 미치는 리어 디퓨저 크기의 영향)

  • Lee, Gyo Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.655-661
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    • 2019
  • This study examined the change in driving performance according to the starting position of the rear diffuser of a vehicle. To accomplish this, the CATIA 3D design program was used to model the vehicle with reference to a commercial SUV vehicle and design the rear diffuser to start from 300, 400, and 500 mm from the rear tire. The flow and drag change were analyzed and the change in air flow was confirmed using Fluent, a flow analysis program at a vehicle traveling speed of 60, 100, and 140 km/h. The rear diffuser reduced the lift and drag forces compared to no diffuser regardless of the starting position. This is because if there is a rear diffuser, it will reduce the vortex phenomenon by suppressing the flow separation that occurs when air is drawn out from the rear portion of the vehicle. In this study, the starting point SP 400 was determined to be the optimal condition because the lift force was the smallest at SP 400 and the lift reduction effect was the best.

A Study on the Analysis of Bridge Safety by Truck Platooning (차량 군집 주행에 따른 교량 안전성 분석에 관한 연구 )

  • Sangwon Park;Minwoo Chang;Dukgeun Yun;Minhyung No
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.2
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    • pp.50-57
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    • 2023
  • Autonomous driving technologies have been gradually improved for road traffic owing to the development of artificial intelligence. Since the truck platooning is beneficial in terms of the associated transporting expenses, the Connected-Automated Vehicle technology is rapidly evolving. The structural performance is, however, rarely investigated to capture the effect of truck platooning on civil infrastructures.In this study, the dynamic behavior of bridges under truck platooning was investigated, and the amplification factor of responses was estimated considering several parameters associated with the driving conditions. Artificial intelligence techniques were used to estimate the maximum response of the mid span of a bridge as the platooning vehicles passing, and the importance of the parameters was evaluated. The most suitable algorithm was selected by evaluating the consistency of the estimated displacement.

Sensibility Evaluation of Driver to the Speed in a Dynamic Simulator (동환경 시뮬레이터에서 주행속도에 따른 운전자 감성평가)

  • 성은정;민병찬;전효정;김태은;강인형;김철중
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.11a
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    • pp.177-181
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    • 2002
  • 본 연구에서는 동적환경 감성 시험평가 시스템(driving simulator)을 이용하여 다양한 운전속도(40, 70, 100km/h)에서 주행시 운전자의 감성평가를 실시하였다. 그 결과, 주행속도가 증가할수록 쾌활성, 쾌적감, 긴장감, 각성감, 속도감이 높게 나타났고, 심박수는 증가하였다. 안정시에 비하여 주행시에 뇌파의 알파파는 감소하고 베타파는 증가하였으며 호흡수가 증가하였으나, 조건간의 유의차는 나타나지 않았다. 또한 70km/h이상에서 GSR의 증가와 SKT의 감소가 인정되었으며, 70km/h이하에서 눈깜박임율이 증가하였다. 이상의 결과로부터, 운전자는 속도가 증가할수록 주관적으로 긍정적인 감성을 느끼지만, 70km/h이상에서 자율신경계 반응에 차이가 있음을 알 수 있었다. 또한 이러한 결과는 실제차량 및 시뮬레이터에서 수행한 선행연구의 결과와 대체로 일치하여 본 시스템으로 운전자 감성평가가 충분히 수행될 수 있음을 시사하였다.

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Analysis of Autonomous Vehicle System of Magnetic Marker Based Using Magnetic Sensor (자기저항센서를 이용한 자계기반 자율주행 시스템의 특성분석)

  • Lim Dae-Young;Ryoo Young-Jae;Lee Jin
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.382-385
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    • 2005
  • 본 논문에서는 자기저항 센서를 이용한 자계기반 자율주행 시스템의 자계특성을 분석한다. 자율주행 시스템에서 가장 중요한 핵심기술은 자기원으로 구성된 도로를 주행하는 차량의 현재위치 파악이다. 따라서 자계 도로위의 차량의 현재위치를 검출하기 위한 시스템의 선행조건으로 센서와 자기원 사이에 존재하는 자계의 특성을 분석하기 위한 실험 장치를 설계하고 구성하였다. 그리고 자기원의 설치간격 및 기울기에 따른 자계의 3축성분과 데이터를 획득한다. 획득한 데이터를 이용하여 3축 성분에 따른 거리정보와 방향에 따른 자계의 변화를 분석한다.

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Who Should Live? Autonomous Vehicles and Moral Decision-Making (자율주행차와 윤리적 의사결정: 누가 사는 것이 더 합당한가?)

  • Shin, Hong Im
    • Science of Emotion and Sensibility
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    • v.22 no.4
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    • pp.15-30
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    • 2019
  • The reduction of traffic accidents is a primary potential benefit of autonomous vehicles (AVs). However, the prevalence of AVs also arouses a key question: to what extent should a human wrest control back from AVs? Specifically, in an unavoidable situation of emergency, should an AV be able to decide between the safety of its own passengers and endangered pedestrians? Should AV programming include well-accepted decision rules about actionsto take in hypothetical situations? The current study (N = 103) examined individual/situational variables that could perform critical decision-making roles in AV related traffic accidents. The individual variable of attitudes toward AVs was assessed using the Self-driving Car Acceptance Scale. To investigate situational influences on decisional processes, the study's participants were assigned to one of two groups: the achievement value was activated in one group and the benevolence value was triggered in the other through the use of a sentence completion task. Thereafter, participants were required to indicate who should be protected from injury: the passengers of the concerned AV, or endangered pedestrians. Participants were also asked to record the extent to which they intended to buy an AV programmed to decide in favor of the greater good according to Utilitarian principles. The results suggested that participants in the "achievement value: driver perspective" groupexpressed the lowest willingness to sacrifice themselves to save several pedestrians in an unavoidable traffic accident. This group of participants was also the most reluctant to buy an AV programmed with utilitarian rules, even though there were significant positive relationships between members' acceptance of AVs and their expressed intention to purchase one. These findings highlight the role of the decisional processes involved in the "achievement value" pertaining to AVs. The paper finally records the limitations of the present study and suggests directions for future research.