• Title/Summary/Keyword: point matching

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A Fully Integrated 5-GHz CMOS Power Amplifier for IEEE 802.11a WLAN Applications

  • Baek, Sang-Hyun;Park, Chang-Kun;Hong, Song-Cheol
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.7 no.2
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    • pp.98-101
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    • 2007
  • A fully integrated 5-GHz CMOS power amplifier for IEEE 802.11a WLAN applications is implemented using $0.18-{\mu}m$ CMOS technology. An on-chip transmission-line transformer is used for output matching network and voltage combining. Input balun, inter-stage matching components, output transmission line transformer and RF chokes are fully integrated in the designed amplifier so that no external components are required. The power amplifier occupies a total area of $1.7mm{\times}1.2mm$. At a 3.3-V supply voltage, the amplifier exhibits a 22.6-dBm output 1-dB compression point, 23.8-dBm saturated output power, 25-dB power gain. The measured power added efficiency (PAE) is 20.1 % at max. peak, 18.8% at P1dB. When 54 Mbps/64 QAM OFDM signal is applied, the PA delivers 12dBm of average power at the EVM of -25dB.

Filtering Feature Mismatches using Multiple Descriptors (다중 기술자를 이용한 잘못된 특징점 정합 제거)

  • Kim, Jae-Young;Jun, Heesung
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.1
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    • pp.23-30
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    • 2014
  • Feature matching using image descriptors is robust method used recently. However, mismatches occur in 3D transformed images, illumination-changed images and repetitive-pattern images. In this paper, we observe that there are a lot of mismatches in the images which have repetitive patterns. We analyze it and propose a method to eliminate these mismatches. MDMF(Multiple Descriptors-based Mismatch Filtering) eliminates mismatches by using descriptors of nearest several features of one specific feature point. In experiments, for geometrical transformation like scale, rotation, affine, we compare the match ratio among SIFT, ASIFT and MDMF, and we show that MDMF can eliminate mismatches successfully.

User-created multi-view video generation with portable camera in mobile environment (모바일 환경의 이동형 카메라를 이용한 사용자 저작 다시점 동영상의 제안)

  • Sung, Bo Kyung;Park, Jun Hyoung;Yeo, Ji Hye;Ko, Il Ju
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.1
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    • pp.157-170
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    • 2012
  • Recently, user-created video shows high increasing in production and consumption. Among these, videos records an identical subject in limited space with multi-view are coming out. Occurring main reason of this kind of video is popularization of portable camera and mobile web environment. Multi-view has studied in visually representation technique fields for point of view. Definition of multi-view has been expanded and applied to various contents authoring lately. To make user-created videos into multi-view contents can be a kind of suggestion as a user experience for new form of video consumption. In this paper, we show the possibility to make user-created videos into multi-view video content through analyzing multi-view video contents even there exist attribute differentiations. To understanding definition and attribution of multi-view classified and analyzed existing multi-view contents. To solve time axis arranging problem occurred in multi-view processing proposed audio matching method. Audio matching method organize feature extracting and comparing. To extract features is proposed MFCC that is most universally used. Comparing is proposed n by n. We proposed multi-view video contents that can consume arranged user-created video by user selection.

Economical image stitching algorithm for portable panoramic image assistance in automotive application

  • Demiryurek, Ahmet;Kutluay, Emir
    • Advances in Automotive Engineering
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    • v.1 no.1
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    • pp.143-152
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    • 2018
  • In this study an economical image stitching algorithm for use in automotive industry is developed for retrofittable panoramic image assistance applications. The aim of this project is to develop a driving assistance system known as Panoramic Parking Assistance (PPA) which is cheap, retrofittable and compatible for every type of automobiles. PPA generates bird's eye view image using cameras installed on the automobiles. Image stitching requires to get bird's eye view position of the vehicle. Panoramic images are wide area images that cannot be available by taking one shot, attained by stitching the overlapping areas. To achieve correct stitching many algorithms are used. This study includes some type of these algorithms and presents a simple one that is economical and practical. Firstly, the mathematical model of a wide view of angle camera is provided. Then distorted image correction is performed. Stitching is implemented by using the SIFT and SURF algorithms. It has been seen that using such algorithms requires complex image processing knowledge and implementation of high quality digital processors, which would be impracticle and costly for automobile use. Thus a simpler algorithm has been developed to decrase the complexity. The proposed algorithm uses one matching point for every couple of images and has ease of use and does not need high power processors. To show the efficiency, images coming from four distinct cameras are stitched by using the algorithm developed for the study and usability for automotive application is analyzed.

Development of a Vision Sensor-based Vehicle Detection System (스테레오 비전센서를 이용한 선행차량 감지 시스템의 개발)

  • Hwang, Jun-Yeon;Hong, Dae-Gun;Huh, Kun-Soo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.6
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    • pp.134-140
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    • 2008
  • Preceding vehicle detection is a crucial issue for driver assistance system as well as for autonomous vehicle guidance function and it has to be performed with high reliability to avoid any potential collision. The vision-based preceded vehicle detection systems are regarded promising for this purpose because they require little infrastructure on a highway. However, the feasibility of these systems in passenger car requires accurate and robust sensing performance. In this paper, an preceded vehicle detection system is developed using stereo vision sensors. This system utilizes feature matching, epipoplar constraint and feature aggregation in order to robustly detect the initial corresponding pairs. After the initial detection, the system executes the tracking algorithm for the preceded vehicles including a leading vehicle. Then, the position parameters of the preceded vehicles or leading vehicles can be obtained. The proposed preceded vehicle detection system is implemented on a passenger car and its performances is verified experimentally.

6-18 GHz Reactive Matched GaN MMIC Power Amplifiers with Distributed L-C Load Matching

  • Kim, Jihoon;Choi, Kwangseok;Lee, Sangho;Park, Hongjong;Kwon, Youngwoo
    • Journal of electromagnetic engineering and science
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    • v.16 no.1
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    • pp.44-51
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    • 2016
  • A commercial $0.25{\mu}m$ GaN process is used to implement 6-18 GHz wideband power amplifier (PA) monolithic microwave integrated circuits (MMICs). GaN HEMTs are advantageous for enhancing RF power due to high breakdown voltages. However, the large-signal models provided by the foundry service cannot guarantee model accuracy up to frequencies close to their maximum oscillation frequency ($F_{max}$). Generally, the optimum output load point of a PA varies severely according to frequency, which creates difficulties in generating watt-level output power through the octave bandwidth. This study overcomes these issues by the development of in-house large-signal models that include a thermal model and by applying distributed L-C output load matching to reactive matched amplifiers. The proposed GaN PAs have successfully accomplished output power over 5 W through the octave bandwidth.

AVM Stop-line Detection based Longitudinal Position Correction Algorithm for Automated Driving on Urban Roads (AVM 정지선인지기반 도심환경 종방향 측위보정 알고리즘)

  • Kim, Jongho;Lee, Hyunsung;Yoo, Jinsoo;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.12 no.2
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    • pp.33-39
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    • 2020
  • This paper presents an Around View Monitoring (AVM) stop-line detection based longitudinal position correction algorithm for automated driving on urban roads. Poor positioning accuracy of low-cost GPS has many problems for precise path tracking. Therefore, this study aims to improve the longitudinal positioning accuracy of low-cost GPS. The algorithm has three main processes. The first process is a stop-line detection. In this process, the stop-line is detected using Hough Transform from the AVM camera. The second process is a map matching. In the map matching process, to find the corrected vehicle position, the detected line is matched to the stop-line of the HD map using the Iterative Closest Point (ICP) method. Third, longitudinal position of low-cost GPS is updated using a corrected vehicle position with Kalman Filter. The proposed algorithm is implemented in the Robot Operating System (ROS) environment and verified on the actual urban road driving data. Compared to low-cost GPS only, Test results show the longitudinal localization performance was improved.

A Study of Flexible T-DMB Antenna Using Rectangular Stub and Matching Circuit (매칭 회로와 구형 Stub를 이용한 Flexible T-DMB 안테나 구현에 관한 연구)

  • Kim, Ho-Jin;Lee, Seon-Hyeon;Lee, Young-Hun;Lee, Sang-Seok
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.2
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    • pp.236-244
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    • 2011
  • In this paper, we proposed flexible T-DMB dipole-shaped antenna that has strength of glass antenna and also has portability and ease of production. The input impedance of antenna according to vehicle body-effect was considered in order to install the antenna on the top of the front window. Installation position of on-glass antennas are changeable defends on driver, so we proposed Interdigital capacitor in feeding point to achieve matching characteristic with no position limit. The measurement result showed good return loss characteristic-below -6 dB in the T-DMB frequency band and maintained fixed resonant frequency.

A Study on Vision System for High Precision Alignment of Large LCD Flat Panel Display (LCD 대평판 고정밀 얼라인먼트를 위한 비전 시스템 연구)

  • Cho, Sung-Man;Song, Chun-Sam;Kim, Joon-Hyun;Kim, Jong-Hyeong
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.9
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    • pp.909-915
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    • 2009
  • This work is to develop a vision system for high precision alignment between upper and lower plates required at the imprinting process of the large LCD flat panel. We compose a gantry-stage that has highly repeated accuracy for high precision alignment and achieves analysis about thermal transformations of stage itself. Position error in the stage is corrected by feedback control from the analysis. This system can confirm alignment mark of upper and lower plates by using two cameras at a time for the alignment of two plates. Pattern matching that uses geometric feature is proposed to consider the recognition problem for alignment mark of two plates. It is algorithm to correct central point and angle for the alignment from the recognized mark of upper and lower plates based on the special characteristics. At the alignment process, revision for error position is performed through Look and Move techniques.

A Study on High-precision Autofocus Matching Device for Smoke Detector Based on IR Laser (IR 레이저 기반 연기감지기를 위한 고정밀 자동초점 정합장치에 관한 연구)

  • Kim, Gwan-Hyung;Shin, Dong-Suk;Oh, Am-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.11
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    • pp.2759-2764
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    • 2014
  • Smoke detector is commonly used to reduce fire detection time. However, technical problems regarding its inaccuracy of laser beam-receiving point on the surface of the sensor associated with incoming interference are identified when the laser transmitter and receiver are installed at a distance of about 100m. In this paper, we propose the auto focus alignment algorithm with high precision to adjust tilting angle of lasers caused by environmental interference so that solve existing issues using multi-level worm gear set.