• Title/Summary/Keyword: 보행자 모델링

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Performance Analysis of CDMA/QPSK System for Image Transmission in Multipath Environment (다중 경로환경에서 영상 전송을 위한 CDMA/QPSK 시스템 성능분석)

  • 조송백;김지웅;강희조
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.05a
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    • pp.582-585
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    • 2003
  • 본 논문에서는 CDMA/QPSK 시스템을 이용하여 압축된 영상 정보 데이터를 다중 경로 환경에서 전송했을 때 전송 에러가 정보에 미치는 영향을 분석하였다. 무선 채널 환경으로써 ITU-R M.1225에서 제시한 시스템 모델링 파라미터를 이용하여 실내 사무실 환경, 보행자 이동 환경, 차량 이동 환경에 따라 압축된 영상 정보가 전송되었을 때 복원된 영상을 분석하였다.

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Performance Analysis of CDMA/QPSK System for Watermarked Image Transmission (CDMA/QPSK 시스템에서의 워터마킹된 영상전송에 대한 성능 평가)

  • 조송백;강희조;이말례
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.86-89
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    • 2003
  • 본 논문에서는 CDMA/QPSK 시스템을 이용하여 워터마크가 삽입된 영상 정보 데이터를 다중경로 채널환경에서 전송했을 때 미치는 데이터 손실을 분석하고 에러정정부호 중의 하나인 컨볼루션 기법을 이용하여 성능 개선 정도를 평가하였다. 무선 채널 환경으로써 ITU-R M.1225에서 제시한 시스템 모델링 파라미터중 하나인 보행자 이동 환경의 파라미터를 이용하여 압축된 영상 정보가 전송되었을 때 복원된 영상을 분석하였다.

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A Study on the Correlation Improvement between FEA and Test for a Pedestrian Lower Legform Impact (보행자보호 Lower Legform 충격의 해석 대 시험 상관성 개선에 관한 연구)

  • Park, Dong-Kyou
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.4
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    • pp.1515-1522
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    • 2011
  • This paper proposed the finite element analysis technique for improving the correleration accuracy between FEA and test on a pedestrian lower legform impact. Europe has been evaluating the bumper pedestrian impact by Euro-NCAP, and it will also be applied in a domestic area by K-NCAP in 2013. By using the compression test result of bending resisting stiffener, a pedestrian bumper modeling guide was presented by analayzing the force-displacement curve of stiffener. And by using the sensor measurement results in car pedestrian test, pedestrian impact behavior was analyzed between test and finite element analysis result. Finally, the finite element analysis guide for a pedestrian bumper impact was presented to improve the correleration accuracy.

A Study of Location Correction Algorithm for Pedestrian Location Tracking in Traffic Connective Transferring System (교통 연계 환승 시스템의 보행자 위치 추적을 위한 보정 알고리즘 연구)

  • Jung, Jong-In;Lee, Sang-Sun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.2
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    • pp.149-157
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    • 2009
  • Tracking technologies which provide real-time and customized information through various information collecting and processing for pedestrians who use traffic connective and transferring center have been being examined. However some problems are caused due to the wide-range positioning error for some services as device installation and service place. It is also difficult to be applied to traffic linkage and transfer services because many situations can be barren. In the testbed, Gwangmyoung Station, we got some results in bad conditions such as a lot of steel construction and another communication device. Practically, conditions of the place which will be built can be worse than Gwangmyoung station. Therefore, we researched suitable Location correction algorithm as a method for accuracy to traffic connective and transferring system. And its algorithm is designed through grid coordinates, map-matching, modeling coordinates and Kalman filtering and is being implemented continuously. Also preparing for optimization of various transferring center model, we designed for simulator type algorithm what is available for deciding algorithm factor.

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A Study on the Cognitive Judgment of Pedestrian Risk Factors Using a Second-hand Mobile Phones (중고스마트폰 업사이클링을 통한 보행위험요인 인지판단 연구)

  • Chang, IlJoon;Jeong, Jongmo;Lee, Jaeduk;Ahn, Se-young
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.274-282
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    • 2022
  • In order to secure pedestrians' right to walk, we have up-cycled second hand mobile phones to overcome limitations of the existing survey methods, analysis methods, and diagnosis to reduce pedestrian traffic accidents. Second hand mobile phones were up-cycled to produce mobile CCTVs and installed in areas where pedestrian deaths rate is high to secure image data sets for the period of more than 24 hours. It was analyzed by applying image visualization technology and clouding reporting technology, and more precise and accurate results were derived through modeling based on artificial intelligence learning and GIS-based diagnostic guidance. As a result, it was possible to analyze the risk factors and number of pedestrian safety, and even factors that were not known in the existing method could be derived. In addition, the traffic accident risk index was derived by converting data into one year to verify whether second hand mobile phone up-cycling mobile CCTV will be an objective tool for finding pedestrian risk factors. Up-cycling mobile CCTV of second hand mobile phones newly applied through research can be used as a new tool to find pedestrian risk factors, and it can be used as a service to protect the safety of the traffic vulnerable other than pedestrians.

Vision-based Low-cost Walking Spatial Recognition Algorithm for the Safety of Blind People (시각장애인 안전을 위한 영상 기반 저비용 보행 공간 인지 알고리즘)

  • Sunghyun Kang;Sehun Lee;Junho Ahn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.81-89
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    • 2023
  • In modern society, blind people face difficulties in navigating common environments such as sidewalks, elevators, and crosswalks. Research has been conducted to alleviate these inconveniences for the visually impaired through the use of visual and audio aids. However, such research often encounters limitations when it comes to practical implementation due to the high cost of wearable devices, high-performance CCTV systems, and voice sensors. In this paper, we propose an artificial intelligence fusion algorithm that utilizes low-cost video sensors integrated into smartphones to help blind people safely navigate their surroundings during walking. The proposed algorithm combines motion capture and object detection algorithms to detect moving people and various obstacles encountered during walking. We employed the MediaPipe library for motion capture to model and detect surrounding pedestrians during motion. Additionally, we used object detection algorithms to model and detect various obstacles that can occur during walking on sidewalks. Through experimentation, we validated the performance of the artificial intelligence fusion algorithm, achieving accuracy of 0.92, precision of 0.91, recall of 0.99, and an F1 score of 0.95. This research can assist blind people in navigating through obstacles such as bollards, shared scooters, and vehicles encountered during walking, thereby enhancing their mobility and safety.

An efficient human group activity recognition based on spatiotemporal pattern (시공간 패턴을 이용한 효율적인 그룹 행동 인식 방법)

  • Kim, Taeksoo;Jung, Soonhong;Sull, Sanghoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.823-825
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    • 2014
  • 감시 카메라 환경에서 자동으로 그룹 행동을 인식하는 기술이 최근 많은 관심을 받고 있다. 본 논문에서 제안하는 그룹 해동 인식 시스템은 다른 추가 정보 없이 비디오 프레임만을 인풋으로 받아들여, 자동으로 보행자 탐지, 추적, 행동 인식까지 모두 포괄하는 시스템이다. 시공간 모션 패턴을 만들고 연결 요소들로 모델링 한 뒤 Hidden Markov Model (HMM)을 이용해 그룹 행동을 인식한다. 실험 결과, 기본 논문과 비교하였을 때, 비슷한 인식률을 보이면서 수행 시간을 약 25 배 정도로 획기적으로 단축하였다.

Evaluation on Practical Use of Raw Data for 3D Indoor Space Modeling (3차원 실내공간 모델링 원시자료의 활용도 평가)

  • Kim, Yun Ji;Yoo, Byoung Min;Lee, Jiyeong
    • Spatial Information Research
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    • v.22 no.6
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    • pp.33-43
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    • 2014
  • As the number of people who live indoor space has been increased, the interest in 3D indoor spatial information has been grown. Object-Oriented 3D indoor space modeling including indoor spatial information has performed in level of detail 4, and modeling data is able to be constructed based on various raw data which are as-built drawing, laser scanning, BIM data, and camera. 3D indoor space modeling has been worked based on established indoor space modeling process, and the result can be used for various application fields such as indoor space pedestrian navigation, facility management, disaster management, and so on. However, the modeling process has limitations to perform indoor space modeling efficiently, because the process is complicated and wastes time at modeling work. In this paper, we propose evaluation on practical use of raw data for 3D indoor space modeling purpose on supporting efficient indoor space modeling through analyzing the established process. Therefore, we define the requirements to evaluate the practical use of raw data and propose the verification method. In addition, as-built drawing which has been used in Seoul 3D indoor space modeling project will be applied to proposed method as a raw data.

Traffic Modeling and Analysis for Pedestrians in Picocell Systems Using Random Walk Model (Picocell 시스템의 보행자 통화량 모델링 및 분석)

  • Lee, Ki-Dong;Chang, Kun-Nyeong;Kim, Sehun
    • Journal of Korean Institute of Industrial Engineers
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    • v.29 no.2
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    • pp.135-144
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    • 2003
  • Traffic performance in a microcellular system is much more affected by cell dwell time and channel holding time in each cell. Cell dwell time of a call is characterized by its mobility pattern, i.e., stochastic changes of moving speed and direction. Cell dwell time provides important information for other analyses on traffic performance such as channel holding time, handover rate, and the average number of handovers per call. In the next generation mobile communication system, the cell size is expected to be much smaller than that of current one to accommodate the increase of user demand and to achieve high bandwidth utilization. As the cell size gets small, traffic performance is much more affected by variable mobility of users, especially by that of pedestrians. In previous work, analytical models are based on simple probability models. They provide sufficient accuracy in a simple second-generation cellular system. However, the role of them is becoming invalid in a picocellular environment where there are rapid change of network traffic conditions and highly random mobility of pedestrians. Unlike in previous work, we propose an improved probability model evolved from so-called Random walk model in order to mathematically formulate variable mobility of pedestrians and analyze the traffic performance. With our model, we can figure out variable characteristics of pedestrian mobility with stochastic correlation. The above-mentioned traffic performance measures are analyzed using our model.

Modeling and Actual Investigation of Roadway Lighting in Jejusi (제주시 도로조명 실태조사 및 모델링)

  • Oh, Seong-Bo;Kim, Eel-Hwan;Lee, Sang-Geun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.7
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    • pp.1-5
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    • 2006
  • Fixed lighting of public ways for both drivers and pedestrians can create a nighttime environment in which people can see comfortably and can quickly and accurately identify objects on the roadway being travelled. Roadway lighting can improve traffic safety, achieve efficient traffic movement and promote the general use of the facility during darkness. The design of a roadway lighting system involves consideration of visibility, economics, esthetics, safety and environmental conditions. This paper shows estimation of horizontal illuminance and uniformity ratio by actual measurement of roadway lighting at main streets in Jejusi and evaluation of Jejusi roadway lighting conditions for modeling by computer simulation.