• Title/Summary/Keyword: Image Specification

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Study on 2.5D Map Building and Map Merging Method for Rescue Robot Navigation (재난 구조용 로봇의 자율주행을 위한 지도작성 및 2.5D 지도정합에 관한 연구)

  • Kim, Su Ho;Shim, Jae Hong
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.4
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    • pp.114-130
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    • 2022
  • The purpose of this study was to investigate the possibility of increasing the efficiency of disaster relief rescue operations through collaboration among multiple aerial and ground robots. The robots create 2.5D maps, which are merged into a 2.5D map. The 2.5D map can be handled by a low-specification controller of an aerial robot and is suitable for ground robot navigation. For localization of the aerial robot, a six-degree-of-freedom pose recognition method using VIO was applied. To build a 2.5D map, an image conversion technique was employed. In addition, to merge 2.5D maps, an image similarity calculation technique based on the features on a wall was used. Localization and navigation were performed using a ground robot to evaluate the reliability of the 2.5D map. As a result, it was possible to estimate the location with an average and standard error of less than 0.3 m for the place where the 2.5D map was normally built, and there were only four collisions for the obstacle with the smallest volume. Based on the 2.5D map building and map merging system for the aerial robot used in this study, it is expected that disaster response work efficiency can be improved by combining the advantages of heterogeneous robots.

Markerless camera pose estimation framework utilizing construction material with standardized specification

  • Harim Kim;Heejae Ahn;Sebeen Yoon;Taehoon Kim;Thomas H.-K. Kang;Young K. Ju;Minju Kim;Hunhee Cho
    • Computers and Concrete
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    • v.33 no.5
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    • pp.535-544
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    • 2024
  • In the rapidly advancing landscape of computer vision (CV) technology, there is a burgeoning interest in its integration with the construction industry. Camera calibration is the process of deriving intrinsic and extrinsic parameters that affect when the coordinates of the 3D real world are projected onto the 2D plane, where the intrinsic parameters are internal factors of the camera, and extrinsic parameters are external factors such as the position and rotation of the camera. Camera pose estimation or extrinsic calibration, which estimates extrinsic parameters, is essential information for CV application at construction since it can be used for indoor navigation of construction robots and field monitoring by restoring depth information. Traditionally, camera pose estimation methods for cameras relied on target objects such as markers or patterns. However, these methods, which are marker- or pattern-based, are often time-consuming due to the requirement of installing a target object for estimation. As a solution to this challenge, this study introduces a novel framework that facilitates camera pose estimation using standardized materials found commonly in construction sites, such as concrete forms. The proposed framework obtains 3D real-world coordinates by referring to construction materials with certain specifications, extracts the 2D coordinates of the corresponding image plane through keypoint detection, and derives the camera's coordinate through the perspective-n-point (PnP) method which derives the extrinsic parameters by matching 3D and 2D coordinate pairs. This framework presents a substantial advancement as it streamlines the extrinsic calibration process, thereby potentially enhancing the efficiency of CV technology application and data collection at construction sites. This approach holds promise for expediting and optimizing various construction-related tasks by automating and simplifying the calibration procedure.

Efficient and Robust Correspondence Detection between Unbalanced Stereo Images

  • Kim, Yong-Ho;Kim, Jong-Su;Lee, Sangkeun;Choi, Jong-Soo
    • IEIE Transactions on Smart Processing and Computing
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    • v.1 no.3
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    • pp.161-170
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    • 2012
  • This paper presents an efficient and robust approach for determining the correspondence between unbalanced stereo images. The disparity vectors were used instead of feature points, such as corners, to calculate a correspondence relationship. For a faster and optimal estimation, the vectors were classified into several regions, and the homography of each region was calculated using the RANSAC algorithm. The correspondence image was calculated from the images transformed by each homography. Although it provided good results under normal conditions, it was difficult to obtain reliable results in an unbalanced stereo pair. Therefore, a balancing method is also proposed to minimize the unbalance effects using the histogram specification and structural similarity index. The experimental results showed that the proposed approach outperformed the baseline algorithms with respect to the speed and peak-signal-to-noise ratio. This work can be applied to practical fields including 3D depth map acquisition, fast stereo coding, 2D-to-3D conversion, etc.

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System-Level Saturation Modeling of Thermal Imager (열상장비의 포화 현상에 대한 시스템 모델링)

  • Han, Seungoh;Park, Seung-Man
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.6
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    • pp.698-702
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    • 2016
  • Thermal imager is now regarded as one of the key observation devices for ISR activities and getting important more and more. As other detectors, however, the thermal detectors also have maximum input and therefore they will be saturated if the input IR energy exceeds the allowed range. The saturation in the thermal detector makes it impossible to distinguish the target from background, as a result, the thermal imager does not perform its own mission anymore. In order to get an insight related with the image saturation, this paper develops a saturation model for a thermal imaging system, not a thermal detector. The proposed modeling starts from analyzing the specification of a thermal imager. Coupled with the characteristic parameters of the object, the saturation model can be used to predict the distance on which the detector is saturated. The proposed saturation model prove its validity by applying it for the case of observing a flash-bang.

The Gyro High Voltage Power Supply Design for Attitude Control in the Satellite (저궤도 위성 자세제어용 자이로 고전압 발생기 설계)

  • Kim, Eui-Chan;Lee, Heung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.3
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    • pp.403-408
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    • 2008
  • The gyroscope is the sensor for detecting the rotation in inertial reference frame and constitute the navigation system together an accelerometer. As the inertial reference equipment for attitude determination and control in the satellite, the mechanical gyroscope has been used but it bring the disturbance for mass unbalance so the disturbance give a bad influence to the observation satellite mission because the mechanical gyroscope has the rotation parts. During the launch. The mechanical gyroscope is weak in vibration, shock and has the defect of narrow operating temperature range so it need the special design in integration. Recently the low orbit observation satellite for seeking the high pointing accuracy of image camera payload accept the FOG(Fiber Optic Gyro) or RLG(Ring Laser Gyro) for the attitude determination and control. The Ring Laser Gyro makes use of the Sanac effect within a resonant ring cavity of a He-Ne laser and has more accuracy than the other gyros. It need the 1000V DC to create the He-Ne plasma in discharge tube. In this paper, the design process of the High Voltage Power Supply for RLG(Ring Laser Gyroscope) is described. The specification for High Voltage Power Supply (HVPS) is proposed. Also, The analysis of flyback converter topology is explained. The Design for the HVPS is composed of the inverter circuit, feedback control circuit, high frequency switching transformer design and voltage doubler circuit.

A Case Study of Retail Fashion Buying through B2B (B2B를 이용한 유통업체의 의류상품구매 사례연구)

  • 윤혜영;고은주
    • Journal of the Korean Home Economics Association
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    • v.42 no.2
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    • pp.117-131
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    • 2004
  • The purpose of this study was to examine the current situation of B2B fashion buying behavior (i.e., buying motives, product characteristics, buying processes), and to analyze the buying performance, buying problems and buying strategies. In depth, face-to-face interviews with structured questionnaire were conducted with three buyers and three vendors related to 18 buying items of C Company. Results of this research were as following:1. Buying motives were mainly reduction of buying costs, improvement of profits, and increased efficiency in buying process for retail buyers, while the selling motive was mainly improvement of market share for suppliers. Suitable items for B2B buying were basic items or bulk items. The B2B buying process included the following steps: selecting auction items, target prices, and suppliers ; setting the product specification and bidding niles; training the suppliers for preparing the auction; proceeding the auction by internet. 2. The perceived B2B benefits for buyers were profit improvement and cost reduction while those for suppliers were time saving and market share improvement. The indicated buying problems were as poor product quality, low product image, and difficulty in partnership. For B2B buying strategies, a quality management system, various auction tactics based on items, and a supplier management system were recommended.

Implementation of Ka-band Low Noise Block Converter For Satellite TVRO (Ka-band 위성방송수신용 저잡음 블록 변환기 구현)

  • Lim, Jin-Won;Kim, Tae-Jin;Park, Ju-Nam;Rhee, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.3 no.2
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    • pp.93-100
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    • 2008
  • In this paper, Low Noise Block down converter(LNB) is designed for a Ka-band satellite television receiver only(TVRO) using commercially available MMIC. Designed Low Noise Block down-converter is composed of three stage amplifiers involving input noise matched at first amplification stage, image reject band pass filter, frequency mixer and intermediate frequency amplification. Through LNB Module power budget to obtain gain and attenuation, Optimum LNB devices satisfying Ka-band LNB technical specification are selected. Experimental results of designed Ka-band LNB yields conversion gain of over $58{\pm}1dB$, noise figure of less than 1.5dB and phase noise of -94.6dBc @10KHz.

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A Study on Automatic Inspection Technology of Machinery Parts Based on Pattern Recognition (패턴인식에 의한 기계부품 자동검사기술에 관한 연구)

  • Cha, Bo-Nam;Roh, Chun-Su;Kang, Sung-Ki;Kim, Won-il
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.2
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    • pp.77-83
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    • 2014
  • This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as $37{\mu}m{\times}37{\mu}m$ ($0.1369{\times}10-4mm^2$) the accuracy to $1.5{\times}10-4mm$ minutely measuring is possible performance verification and trust ability through an experiment prove.

Implementing Augmented Reality By Using Face Detection, Recognition And Motion Tracking (얼굴 검출과 인식 및 모션추적에 의한 증강현실 구현)

  • Lee, Hee-Man
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.1
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    • pp.97-104
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    • 2012
  • Natural User Interface(NUI) technologies introduce new trends in using devices such as computer and any other electronic devices. In this paper, an augmented reality on a mobile device is implemented by using face detection, recognition and motion tracking. The face detection is obtained by using Viola-Jones algorithm from the images of the front camera. The Eigenface algorithm is employed for face recognition and face motion tracking. The augmented reality is implemented by overlapping the rear camera image and GPS, accelerator sensors' data with the 3D graphic object which is correspond with the recognized face. The algorithms and methods are limited by the mobile device specification such as processing ability and main memory capacity.

RF Interference Analysis and Verification in the Synthetic Aperture Radar Satellite System (영상레이더 위성시스템 구조물의 RF 간섭특성 분석 및 검증)

  • Jang, Jae-Woong;Kim, Tae-Yoon;Lim, Seong-Bin
    • Aerospace Engineering and Technology
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    • v.8 no.1
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    • pp.187-196
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    • 2009
  • Synthetic Aperture Radar(SAR) satellite system for broad-area imaging has RF systems including SAR radiating a high power, data link system transmitting the acquired image data from the SAR, TC&R(Telemetry, Command, and Ranging) to communicate with a ground segment to control a satellite. Each system transmits RF signal having various frequencies and radiates a high power, RS(Radiated Susceptibility) specification should be verified at an electronic unit mounted in satellite. RF interference can be happened because of non-linearity of a RF system. Therefore, we manufactured a structure model installed antennas which have a similar pattern with a real antenna, the effect by RF interference is analyzed and verified.

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