• Title/Summary/Keyword: stereo analysis

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DSM Generation and Accuracy Analysis from UAV Images on River-side Facilities (UAV 영상을 활용한 수변구조물의 DSM 생성 및 정확도 분석)

  • Rhee, Sooahm;Kim, Taejung;Kim, Jaein;Kim, Min Chul;Chang, Hwi Jeong
    • Korean Journal of Remote Sensing
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    • v.31 no.2
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    • pp.183-191
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    • 2015
  • If the damage analysis on river-side facilities such as dam, river bank structures and bridges caused by disasters such as typhoon, flood, etc. becomes available, it can be a great help for disaster recovery and decision-making. In this research, We tried to extract a Digital Surface Model (DSM) and analyze the accuracy from Unmanned Air Vehicle (UAV) images on river-side facilities. We tried to apply stereo image-based matching technique, then extracted match results were united with one mosaic DSM. The accuracy was verified compared with a DSM derived from LIDAR data. Overall accuracy was around 3m of absolute and root mean square error. As an analysis result, we confirmed that exterior orientation parameters exerted an influence to DSM accuracy. For more accurate DSM generation, accurate EO parameters are necessary and effective interpolation and post process technique needs to be developed. And the damage analysis simulation with DSM has to be performed in the future.

A Study of Optimization in the Queue, Finite Population (유한모집단 대열기법에 의한 최적화 연구)

  • 오충환
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.1 no.1
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    • pp.37-44
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    • 1978
  • The purpose of this study is to search for an efficient application method in solving delay-phenomenon problems which influence upon total production cost through case study. The method of this study is an experimental study based on cutting time data in lead cutting operations from "Lead Cutting Machine (Stripper)" and its service rate data from a large electronic products company which utilizes conveyor line system for the products "Car Stereo" The procedure of this experimental study is as follows; 1) Using loading(Man-Hour) analysis technique j,1 order to analyse and evaluate Production capacity, efficiency, operation and idle rate assembly charge, waiting and service cost -when its are controlled by stripper operator(server) 2) Establishing adequate waiting time model of finite population caused by the interference of 4 stripper machine which is drawn from mathematical statistics testing, that is, goodness of fit test in the waiting and service rate and to search for optimal solution by utilizing the above mentioned model The experimental result was that amount to 8,546,618won Per year was brought down, that is, by optimum point, it shows a decrease as compared with Present point. The major limitation of this experimental study is that the Queue in the Finite Population, so to speak. it comes from the interference of 4 stripper machine dealt with this case were limited only on the Car Stereo conveyor line. Further study of application of this application method to the areas such as material handling, personnel management marketing and transportation management is strong1y recommended.trong1y recommended.

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Development of 3-D Volume PIV (3차원 Volume PIV의 개발)

  • Choi, Jang-Woon;Nam, Koo-Man;Lee, Young-Ho;Kim, Mi-Young
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.27 no.6
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    • pp.726-735
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    • 2003
  • A Process of 3-D Particle image velocimetry, called here, as '3-D volume PIV' was developed for the full-field measurement of 3-D complex flows. The present method includes the coordinate transformation from image to camera, calibration of camera by a calibrator based on the collinear equation, stereo matching of particles by the approximation of the epipolar lines, accurate calculation of 3-D particle positions, identification of velocity vectors by 3-D cross-correlation equation, removal of error vectors by a statistical method followed by a continuity equation criterior, and finally 3-D animation as the post processing. In principle, as two frame images only are necessary for the single instantaneous analysis 3-D flow field, more effective vectors are obtainable contrary to the previous multi-frame vector algorithm. An Experimental system was also used for the application of the proposed method. Three analog CCD camera and a Halogen lamp illumination were adopted to capture the wake flow behind a bluff obstacle. Among 200 effective particle s in two consecutive frames, 170 vectors were obtained averagely in the present study.

Analysis on the cause inducing an uncorrected disparity and distorted depth information by the image distance in stereo camera system (상거리에 따른 시차량의 변화 및 깊이 정보의 왜곡에 대한 연구)

  • Lee, Kwang-Hoon;Kim, Dong-Wook;Kwon, Yong-Moo;Chang, Eun-Young;Kim, Sung-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11B
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    • pp.1320-1327
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    • 2009
  • In stereoscopy using stereo camera system, the representative factors inducing stereoscopic depth distortions have been reported such as the inter camera distance, the convergence angle and the depth resolution. The image distance is just known to us as a factor related in optical system. In a point of view of depth distortion, it will be a factor inducing a stereoscopic depth distortion. In this paper, we focused on the proof of our opinion that the image distance is one of the weighted factors inducing depth distortion under orthostereoscopic condition.

Implementation of a Transformable Hexapod Robot for Complex Terrains (복잡한 지형에서 변형 가능한 6족 로봇의 구현)

  • Yoo, Young-Kuk;Kong, Jung-Shik;Kim, Jin-Geol
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.12
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    • pp.65-74
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    • 2008
  • This paper deals with the path creation for stable action of a robot and transformation by using the fuzzy algorithm. Also, the obstacle detection and environmental analysis are performed by a stereo vision device. The robot decides the range and the height using the fuzzy algorithm. Therefore the robot can be adapted in topography through a transformation by itself. In this paper, the robot is designed to have two advantages. One is the fast movability in flat topography with the use of wheels. The other is the moving capability in uneven ground by walking. It has six leg forms for a stable walk. The wheels are fixed on the legs of the robot, so that various driving is possible. The height and the width of robot can be changed variously using four joints of each leg. The wheeled joint has extra DOF for a rotation of vertical axis. So the robot is able to rotate through 360 degrees. The robot has various sensors for checking the own state. The stable action of a robot is achieved by using sensors. We verified the result of research through an experiment.

Utilization Methods and Generation DEMs by Using Aerial Photographs (항공사진을 이용한 수치표고모형 생성과 활용방안)

  • Choi, Hyun;Hong, Soon-Heon
    • The Journal of the Korea Contents Association
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    • v.7 no.3
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    • pp.168-175
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    • 2007
  • The flood caused landslide disaster each year because of climate change. And the change of topography from an earthquake makes topographical analysis impossible. This paper performed an investigation about a utilization methods and generation DEM(Digital Elevation Model) after digital aerial photographs quickly when the topographical change happens. Stereo imagery that was collected through digital aerial photographs made a generation of DEM possible. A standard deviation of generated DEM is 0.864m which is somewhat high but shows the real topography. As a result, it should be possible to generate DEM by using aerial photographs in case of the change of topography.

Parking Space Recognition for Autonomous Valet Parking Using Height and Salient-Line Probability Maps

  • Han, Seung-Jun;Choi, Jeongdan
    • ETRI Journal
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    • v.37 no.6
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    • pp.1220-1230
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    • 2015
  • An autonomous valet parking (AVP) system is designed to locate a vacant parking space and park the vehicle in which it resides on behalf of the driver, once the driver has left the vehicle. In addition, the AVP is able to direct the vehicle to a location desired by the driver when requested. In this paper, for an AVP system, we introduce technology to recognize a parking space using image sensors. The proposed technology is mainly divided into three parts. First, spatial analysis is carried out using a height map that is based on dense motion stereo. Second, modelling of road markings is conducted using a probability map with a new salient-line feature extractor. Finally, parking space recognition is based on a Bayesian classifier. The experimental results show an execution time of up to 10 ms and a recognition rate of over 99%. Also, the performance and properties of the proposed technology were evaluated with a variety of data. Our algorithms, which are part of the proposed technology, are expected to apply to various research areas regarding autonomous vehicles, such as map generation, road marking recognition, localization, and environment recognition.

A Study on Implementation for Real-time Lane Departure Warning System & Smart Night Vision Based on HDR Camera Platform (실시간 차선 이탈 경고 및 Smart Night Vision을 위한 HDR Camera Platform 구현에 관한 연구)

  • Park, Hwa-Beom;Park, Ge-O;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.123-126
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    • 2017
  • The information and communication technology that is being developed recently has been greatly influencing the automobile market. In recent years, devices equipped with IT technology have been installed for the safety and convenience of the driver. However, it has the advantage of increased convenience as well as the disadvantage of increasing traffic accidents due to driver 's distraction. In order to prevent such accidents, it is necessary to develop safety systems of various types and ways. In this paper, we propose a method to implement a multi-function camera driving safety system that notifies a pedestrian and lane departure warning without using a radar sensor or a stereo video image, and a study on the analysis of a lane departure alarm software result.

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Human Activity Recognition Using Body Joint-Angle Features and Hidden Markov Model

  • Uddin, Md. Zia;Thang, Nguyen Duc;Kim, Jeong-Tai;Kim, Tae-Seong
    • ETRI Journal
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    • v.33 no.4
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    • pp.569-579
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    • 2011
  • This paper presents a novel approach for human activity recognition (HAR) using the joint angles from a 3D model of a human body. Unlike conventional approaches in which the joint angles are computed from inverse kinematic analysis of the optical marker positions captured with multiple cameras, our approach utilizes the body joint angles estimated directly from time-series activity images acquired with a single stereo camera by co-registering a 3D body model to the stereo information. The estimated joint-angle features are then mapped into codewords to generate discrete symbols for a hidden Markov model (HMM) of each activity. With these symbols, each activity is trained through the HMM, and later, all the trained HMMs are used for activity recognition. The performance of our joint-angle-based HAR has been compared to that of a conventional binary and depth silhouette-based HAR, producing significantly better results in the recognition rate, especially for the activities that are not discernible with the conventional approaches.

The study of the optimized collimator structure for gamma-ray detector (감마선 탐지장치를 위한 Collimator 구조 최적화 연구)

  • Hwang, Young-Gwan;Lee, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.835-836
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    • 2014
  • In this paper, we have designed the collimator of different sizes structure for the development of stereo radiation detector. And we conducted a study of the optimal structure of collimator using the results of the Gamma-ray irradiation test associated with the change of the incident angle. According to the results of the performance analysis, and showed the results of the optimal incident angle 2. Results of the paper are used as basic data for designing the structure of the detector efficiency for radiation detection.

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