• Title/Summary/Keyword: 보행 안내

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A System with Efficient Managing and Monitoring for Guidance Device (보행안내 기기의 효과적인 관리 및 모니터링을 위한 시스템)

  • Lee, Jin-Hee;Lee, Eun-Seok;Shin, Byeong-Seok
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.4
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    • pp.187-194
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    • 2016
  • When performing experiments in indoor and outdoor environment, we need a system that monitors a volunteer to prevent dangerous situations and efficiently manages the data in real time. We developed a guidance device for visually impaired person that guides the user to walk safely to the destination in the previous study. We set a POI (Point of Interest) of a specific location indoors and outdoors and tracks the user's position and navigate the walking path using artificial markers and ZigBee modules as landmark. In addition, we develop path finding algorithm to be used for navigation in the guidance device. In the test bed, the volunteers are exposed to dangerous situations and can be an accident due to malfunction of the device since they are visually impaired person or normal person wearing a eye patch. Therefore the device requires a system that remotely monitors the volunteer wearing guidance device and manages indoor or outdoor a lot of map data. In this paper, we introduce a managing system that monitors the volunteers remotely and handles map data efficiently. We implement a management system which can monitor the volunteer in order to prevent a hazardous situation and effectively manage large amounts of data. In addition, we verified the effectiveness of the proposed system through various experiments.

Analysis on the Effect of Vehicle Speed Change on the Vehicle Information Guide System for Pedestrian Safety (보행자 안전을 위한 차량정보안내시스템 도입에 따른 통행속도 변화에 미치는 영향 분석)

  • Kwang-Bok Jung;Yeong-YUL Kim;Jae-Yoon Han
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.93-102
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    • 2023
  • This study conducted an effect evaluation before and after the installation of a vehicle information guidance system that provides drivers with information about vehicle speed and the presence or absence of pedestrians near pedestrian crossings. There are three types of scenarios: when no information is provided to the driver (S1), when only the vehicle driving speed is provided (S2), and when pedestrians are present on the pedestrian crossing and when both vehicle driving speeds are provided (S3). did. As a result of the survey, the speed reduction rate of the vehicle was found to be about 0.4~0.7km greater in S2 and S3 that provide information to the driver than in scenario S1. In addition, in the scenario S3, the speed reduction rate is 0.2km higher than that in the case where there are pedestrians near the pedestrian crossing, which further reduces the vehicle speed. Statistical analysis also showed that there was a difference in the speed reduction rate of the average vehicle for the three scenarios, and that the speed reduction rate was large in the presence of pedestrians.

An Assessment on the Urban Riverfront in Shincheon, Daegu - Focused on a Universal Design Concept - (대구광역시 신천의 친수공간 평가 연구 - 유니버설디자인 개념을 중심으로 -)

  • Choi, Dong-Sik;Moon, Ji-Won;Kim, Shang-Hee
    • Journal of the Korean Institute of Landscape Architecture
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    • v.40 no.2
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    • pp.1-14
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    • 2012
  • The purpose of this study is to derive a desirable riverfront construction plan to me for the activities of citizens through the evaluation and analysis of the urban riverfront space from the perspective of universal design. Therefore, previous studies were examined in order to induce evaluation tools that bhve been grafted from the universal design concept; in addition, a field survey was conducted in Shincheon, Daegu, which was selected as the study target, in order to induce problems and improvement directions from the perspective of universal design. The major results can be summarized as follows. (1) In the 'fairness' aspect, all the items such as installation of integrated functional signage, showing pictures, symbols, foreign language signs, and restroom entrances signage were determined to be 'All Unsuitable' for all sections; and therefore, it is necessary to improve the fairness of usage for everybody. (2) In the 'Functionality(Usability)' aspect, all items such as installation of bicycle paths beside access roads, installation of integrated functional signs, and night light signs were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the functionalities of these facilities. (3) In the 'Convenience' aspect, all items such as the installation of bicycle parking areas, continuous rest facilities, and back and ann support(handles) at resting facilities were determined to be 'All Unsuitable' for many sections; therefore, it is necessary to improve these facilities for the convenience of usage. (4) In the 'Information(Recognizability)' aspect, all items such as showing pictures, symbols, foreign languages and installation of night light signs, and restroom entrances signage were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the recognizability to minimize misunderstandings and confusion. (5) In the 'Safety' aspect, all items such as the installation of safe pedestrian paths in parking areas, using anti-slip and shock absorption materials on restroom floors, and the continuous installation of pedestrian paths that are separate from bicycle paths were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the safety to prevent accidents. (6) In the 'Amenity' aspect, access roads, parking areas, hygiene facilities, convenience facilities, and waterside facilities for many sections were determined to be 'All Unsuitable'; therefore, it is necessary to conduct more concentrated hygiene management. (7) In the 'Accessibility(Mobility)' aspect, all items such as the installation of safe pedestrian paths in parking areas, and continuous pedestrian paths that are separate from bicycle paths were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the accessibility to provide safety and convenience. (8) In the 'Durability' aspect, access roads, parking areas, rest facilities, convenience facilities, fitness facilities, and waterside facilities were determined to be 'All Unsuitable' for many sections, therefore, it is necessary to improve sunken or damaged areas by inspecting facilities by section.

The Smart Cane for the Visually-impaired using Ultrasonic sensors (초음파 센서를 이용한 시각 장애우용 스마트 케인)

  • Park, Cha-Hun;Ahn, Hyun-Jin;Lee, Jae-ik;Song, Kwang-ho;Kim, Ha-hyung;Jung, Sang-chan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.181-182
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    • 2021
  • 시각장애인이 길거리에 나설 때 주변에 보행 안전을 위한 시설이 많이 부족하다. 본 연구에서는 시각장애인에게 전방의 장애물을 알려주어 안전한 보행을 위한 스마트 지팡이를 제안한다. 초음파센서를 통하여 사물을 감지하여 진동으로 보행자의 진로 방향을 안내하며 조도 센서를 통하여 다른 사람들이 원거리에서 인식 할 수 있게 발광 기능을 포함한다. 또한, 긴급버튼을 통하여 비상시 보호자에게 알릴 수 있는 통보기능도 내장하고 있다. 향후 소형화와 지능화를 통하여 사회적 약자인 시각장애인의 안전한 보행권을 확보할 수 있는 기술로 발전시키고자 한다.

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Extraction of Landmarks for Pedestrian Navigation System (보행자 내비게이션 시스템을 위한 랜드마크 추출 방법)

  • Rho, Gon-Il;Kim, Ji-Young;Yu, Ki-Yun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.4
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    • pp.413-420
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    • 2011
  • This study is to extract landmark buildings for pedestrian navigation from the existing spatial data sets automatically. At first, we defined candidates for landmark based on sight of pedestrian, then extracted final landmark by evaluating attributes of each candidate. The attribute is evaluated with relative or absolute criteria depending on the nature of each attribute. Landmarks extracted through the proposed method are compared to existing landmarks for vehicle and assessment of the validity and the applicability is performed. As a result, extracted Landmarks are expected to help guiding pedestrian effectively.

An Outdoor Navigation System for the Visually Impaired Persons incorporating GPS and Ultrasonic Sensors (초음파 센서와 GPS를 연동한 시각장애인 실외 보행지원 시스템)

  • Lee, Jin-Hee;Lim, Suk-Hyun;Lee, Eun-Seok;Shin, Byeong-Seok
    • Journal of KIISE:Software and Applications
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    • v.36 no.6
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    • pp.462-470
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    • 2009
  • We propose a wearable system to help the visually impaired persons for walking safely to destination. If a user selects a destination, the system guides the user to destination with position data from GPS receiver and shortest path algorithm. At the same time, after acquiring complex spatial structures in front of the user with ultrasonic sensors, we categorize them into several predefined patterns, and determine an avoidance direction by estimating the patterns. As a result, visually impaired persons can arrive at destination safely and correctly without others help.

A Study on Automatic Threshold Selection in Line Simplification for Pedestrian Road Network Using Road Attribute Data (보행자용 도로망 선형단순화를 위한 도로속성정보 기반 임계값 자동 선정 연구)

  • Park, Bumsub;Yang, Sungchul;Yu, Kiyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.4
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    • pp.269-275
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    • 2013
  • Recently, importance of pedestrian road network is getting emphasized as it is possible to provide mobile device users with both route guidance services and surrounding spatial information. However, it costs a tremendous amount of budget for generating and renovating pedestrian road network nationally, which hinder further advances of these services. Hence, algorithms extracting pedestrian road network automatically based on raster data are needed. On the other hand, road dataset generated from raster data usually has unnecessary vertices which lead to maintenance disutility such as excessive turns and increase in data memory. Therefore, this study proposed a method of selecting a proper threshold automatically for separate road entity using not only Douglas-Peucker algorithm but also road attribute data of digital map in order to remove redundant vertices, which maximizes line simplification efficiency and minimizes distortion of shape of roads simultaneously. As a result of the test, proposed method was suitable for automatic line simplification in terms of reduction ratio of vertices and accuracy of position.

Development of Street Crossing Assistive Embedded System for the Visually-Impaired Using Machine Learning Algorithm (머신러닝을 이용한 시각장애인 도로 횡단 보조 임베디드 시스템 개발)

  • Oh, SeonTaek;Jeong, Kidong;Kim, Homin;Kim, Young-Keun
    • Journal of the HCI Society of Korea
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    • v.14 no.2
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    • pp.41-47
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    • 2019
  • In this study, a smart assistive device is designed to recognize pedestrian signal and to provide audio instructions for visually impaired people in crossing streets safely. Walking alone is one of the biggest challenges to the visually impaired and it deteriorates their life quality. The proposed device has a camera attached on a pair of glasses which can detect traffic lights, recognize pedestrian signals in real-time using a machine learning algorithm on GPU board and provide audio instructions to the user. For the portability, the dimension of the device is designed to be compact and light but with sufficient battery life. The embedded processor of device is wired to the small camera which is attached on a pair of glasses. Also, on inner part of the leg of the glasses, a bone-conduction speaker is installed which can give audio instructions without blocking external sounds for safety reason. The performance of the proposed device was validated with experiments and it showed 87.0% recall and 100% precision for detecting pedestrian green light, and 94.4% recall and 97.1% precision for detecting pedestrian red light.

Updating Obstacle Information Using Object Detection in Street-View Images (스트리트뷰 영상의 객체탐지를 활용한 보행 장애물 정보 갱신)

  • Park, Seula;Song, Ahram
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.599-607
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    • 2021
  • Street-view images, which are omnidirectional scenes centered on a specific location on the road, can provide various obstacle information for the pedestrians. Pedestrian network data for the navigation services should reflect the up-to-date obstacle information to ensure the mobility of pedestrians, including people with disabilities. In this study, the object detection model was trained for the bollard as a major obstacle in Seoul using street-view images and a deep learning algorithm. Also, a process for updating information about the presence and number of bollards as obstacle properties for the crosswalk node through spatial matching between the detected bollards and the pedestrian nodes was proposed. The missing crosswalk information can also be updated concurrently by the proposed process. The proposed approach is appropriate for crowdsourcing data as the model trained using the street-view images can be applied to photos taken with a smartphone while walking. Through additional training with various obstacles captured in the street-view images, it is expected to enable efficient information update about obstacles on the road.