• Title/Summary/Keyword: Intelligent Vehicle

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Implement of Intelligent Head-Up Display for Vehicle (차량용 지능형 Head-Up Display의 적용 실험)

  • Son, Hui-Bae;Ban, Hyeong-Jin;Yang, Kwun;Rhee, Young-Chul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.400-405
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    • 2010
  • This paper deals with implementation of intelligent head up display for vehicle safety system. The Implanted new intelligent transport system offer the potential for improved vehicle to driver communication. The most commonly viewed information in a vehicle is from the Head up display, where speed, tachometer, engine RPM, navigation, engine temperature, fuel gauge, turn indicators and warning lights provide the driver with an array of fundamental information. TFT LCD, LCD Back light led, plane mirror, lens and controllers parts were designed to head up display system. Finally, In this paper, we analyze intelligent head up display system for vehicle of driver safety.

Vehicle - to - Vehicle Distance Control using a Vehicle Trajectory Prediction Method (차량 궤적 예측기법을 이용한 차간 거리 제어)

  • 조상민;이경수
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.3
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    • pp.123-129
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    • 2002
  • This paper proposes a vehicle trajectory prediction method far application to vehicle-to-vehicle distance control. This method is based on 2-dimensional kinematics and a Kalman filter has been used to estimate acceleration of the object vehicle. The simulation results using the proposed control method show that the relative distance characteristics can be improved via the trajectory prediction method compared to the customary intelligent cruise control algorithm.

Development of a 3D Simulator and Intelligent Control of Track Vehicle (궤도차량의 지능제어 및 3D 시률레이터 개발)

  • 장영희;신행봉;정동연;서운학;한성현;고희석
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.03a
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    • pp.107-111
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    • 1998
  • This paper presents a now approach to the design of intelligent contorl system for track vehicle system using fuzzy logic based on neural network. The proposed control scheme uses a Gaussian function as a unit function in the neural network-fuzzy, and back propagation algorithm to train the fuzzy-neural network controller in the framework of the specialized learning architecture. Moreover, We develop a Windows 95 version dynamic simulator which can simulate a track vehicle model in 3D graphics space. It is proposed a learning controller consisting of two neural network-fuzzy based of independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The dynamic simulator for track vehicle is developed by Microsoft Visual C++. Graphic libraries, OpenGL, by Silicon Graphics, Inc. were utilized for 3D Graphics. The performance of the proposed controller is illustrated by simulation for trajectory tracking of track vehicle speed.

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Authentication Scheme using Biometrics in Intelligent Vehicle Network (지능형 자동차 내부 네트워크에서 생체인증을 이용한 인증기법)

  • Lee, Kwang-Jae;Lee, Keun-Ho
    • Journal of the Korea Convergence Society
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    • v.4 no.3
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    • pp.15-20
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    • 2013
  • Studies on the intelligent vehicles that are fused with IT and intelligent vehicle technologies are currently under active discussion. And many new service models for them are being developed. As intelligent vehicles are being actively developed, a variety of wireless services are support. As such intelligent vehicles use wireless network, they are exposed to the diverse sources of security risk. This paper aims to examine the factors to threaten intelligent vehicle, which are usually intruded through network system and propose the security solution using biometric authentication technique. The proposed security system employs biometric authentication technique model that can distinguish the physical characteristics of user.

A study on Moving OBstacle Avoidance for an Intelligent Vehicle Using Fuzzy Controller (퍼지 제어기를 이용한 지능형 차량의 이동장애물 회피에 관한 연구)

  • Kim, Hun-Mo
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.2
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    • pp.155-163
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    • 2000
  • This paper presents a path planning method of the sensor based intelligent vehicle using fuzzy logic controller for avoidance of moving obstacles in unknown environments. Generally it is too difficult and complicated to control intelligent vehicle properly by recognizing unknown terrain with sensors because the great amount of imprecise and ambiguous information has to be considered. In this respect a fuzzy logic can manage such the enormous information in a quite efficient manner. Furthermore it is necessary to use the relative velocity to consider the mobility of obstacles, In order to avoid moving obstacles we must deliberate not only vehicle's relative speed toward obstacles but also self-determined acceleration and steering for the satisfaction of avoidance efficiency. In this study all the primary factors mentioned before are used as the input elements of fuzzy controllers and output signals to control velocity and steering angle of the vehicle. The main purpose of this study is to develop fuzzy controllers for avoiding collision with moving obstacles when they approach the vehicle travelling with straight line and for returning to original trajectory. The ability are and effectiveness of the proposed algorithm are demonstrated by simulations and experiments.

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MCMC Particle Filter based Multiple Preceeding Vehicle Tracking System for Intelligent Vehicle (MCMC 기반 파티클 필터를 이용한 지능형 자동차의 다수 전방 차량 추적 시스템)

  • Choi, Baehoon;An, Jhonghyun;Cho, Minho;Kim, Euntai
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.2
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    • pp.186-190
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    • 2015
  • Intelligent vehicle plans motion and navigate itself based on the surrounding environment perception. Hence, the precise environment recognition is an essential part of self-driving vehicle. There exist many vulnerable road users (e.g. vehicle, pedestrians) on vehicular driving environment, the vehicle must percept all the dynamic obstacles accurately for safety. In this paper, we propose an multiple vehicle tracking algorithm using microwave radar. Our proposed system includes various special features. First, exceptional radar measurement model for vehicle, concentrated on the corner, is described by mixture density network (MDN), and applied to particle filter weighting. Also, to conquer the curse of dimensionality of particle filter and estimate the time-varying number of multi-target states, reversible jump markov chain monte carlo (RJMCMC) is used to sampling step of the proposed algorithm. The robustness of the proposed algorithm is demonstrated through several computer simulations.

UUV Platform Optimal Design for Overcoming Strong Current

  • Kim, Min-Gyu;Kang, Hyungjoo;Lee, Mun-Jik;Cho, Gun Rae;Li, Ji-Hong;Kim, Cheol
    • Journal of Ocean Engineering and Technology
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    • v.35 no.6
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    • pp.434-445
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    • 2021
  • This paper proposes an optimal design method for an unmanned underwater vehicle (UUV) platform to overcome strong current. First, to minimize the hydrodynamic drag components in water, the vehicle is designed to have a streamlined disc shape, which help maintaining horizontal motion (zero roll and pitch angles posture) while overcoming external current. To this end, four vertical thrusters are symmetrically mounted outside of the platform to stabilize the vehicle's horizontal motion. In the horizontal plane, four horizontal thrusters are symmetrically mounted outside of the disc, and each of them has the same forward and reverse thrust performances. With these four thrusters, a specific thrust vector control (TVC) method is proposed, and for external current in any direction, four horizontal thrusters are controlled to generate a vectored thrust force to encounter the current while minimizing the vehicle's rotation and maintaining its heading. However, for the numerical simulations, the vehicle's hydrodynamic coefficients related to the horizontal plane are derived based on both theoretical and empirically derived formulas. In addition to the simulation, experimental studies in both the water tank and circulating water channel are performed to verify the vehicle's various final performances, including its ability to overcome strong current.

A Study on improving the performance of License Plate Recognition (자동차 번호판 인식 성능 향상에 관한 연구)

  • Eom, Gi-Yeol
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.11a
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    • pp.203-207
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    • 2006
  • Nowadays, Cars are continuing to grow at an alarming rate but they also cause many problems such as traffic accident, pollutions and so on. One of the most effective methods that prevent traffic accidents is the use of traffic monitoring systems, which are already widely used in many countries. The monitoring system is beginning to be used in domestic recently. An intelligent monitoring system generates photo images of cars as well as identifies cars by recognizing their plates. That is, the system automatically recognizes characters of vehicle plates. An automatic vehicle plate recognition consists of two main module: a vehicle plate locating module and a vehicle plate number identification module. We study for a vehicle plate number identification module in this paper. We use image preprocessing, feature extraction, multi-layer neural networks for recognizing characters of vehicle plates and we present a feature-comparison method for improving the performance of vehicle plate number identification module. In the experiment on identifying vehicle plate number, 300 images taken from various scenes were used. Of which, 8 images have been failed to identify vehicle plate number and the overall rate of success for our vehicle plate recognition algorithm is 98%.

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Vehicle Reference Dynamics Estimation by Speed and Heading Information Sensed from a Distant Point

  • Yun, Jeonghyeon;Kim, Gyeongmin;Cho, Minhyoung;Park, Byungwoon;Seo, Howon;Kim, Jinsung
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.3
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    • pp.209-215
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    • 2022
  • As intelligent autonomous driving vehicle development has become a big topic around the world, accurate reference dynamics estimation has been more important than before. Current systems generally use speed and heading information sensed from a distant point as a vehicle reference dynamic, however, the dynamics between different points are not same especially during rotating motions. In order to estimate properly estimate the reference dynamics from the information such as velocity and heading sensed at a point distant from the reference point such as center of gravity, this study proposes estimating reference dynamics from any location in the vehicle by combining the Bicycle and Ackermann models. A test system was constructed by implementing multiple GNSS/INS equipment on an Robot Operating System (ROS) and an actual car. Angle and speed errors of 10° and 0.2 m/s have been reduced to 0.2° and 0.06 m/s after applying the suggested method.

Vehicle-Driving-Load-Adaptive Control of Intelligent Vehicle (차량 주행부하 추정기법을 이용한 지능화 차량의 적응제어)

  • Lee, Se-Jin;Yi, Kyong-Su
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.653-658
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    • 2000
  • A driving load estimation method for intelligent cruise control(ICC) vehicles has been proposed in this paper. The driving load is one of the most important factors of perturbations in vehicle control and can affect the control performance critically. The Effect of the control with driving load estimation on vehicle-to-vehicle distance control has been presented and investigated via computer simulations and vehicle tests. The results show that the control with driving load estimation can provide ICC system with a good acceleration tracking performance. In addition, the results show that driving load estimation can compensate not only variation of driving load but also the modeling errors.

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