• Title/Summary/Keyword: 최단경로지도

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Guide to evacuation based on A* algorithm for the shortest route search in case of fire system (화재 시 최단 경로 탐색을 위한 A*알고리즘 기반 대피로 안내 시스템)

  • Jeon, Sung-woo;Shin, Daewon;Yu, Seonho;Lee, Junyoung;Jung, Heo-kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.260-262
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    • 2021
  • In recent years, many studies are being conducted to reduce the damage to humans in the event of a fire. In case of fire in large cities, evacuation route guidance services are provided using Mobile GIS (geographic information system). However, among the algorithms used in the existing evacuation route system, Dijkstra Algorithm has a problem that when the cost is negative, it cannot obtain an infinite loop or an accurate result value, and does not help to select an appropriate shortest route by searching all routes. For this reason, in this paper, we propose the shortest route guidance system based on A* Algorithm. In case of fire, the shortest route is searched and the shortest route is visualized and provided using a map service on a mobile device using mobile GIS.

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A Study on Path Planning and Navigation of Autonomous Mobile Robot (자율이동로봇의 경로계획과 주행에 관한 연구)

  • Kwack Sangfeel;Choi Byung-Jae;Yoo Seog-Hwan
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.11a
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    • pp.427-430
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    • 2005
  • 지능형 로봇이 성장동력 산업으로 선정되면서 국내에서도 로봇 산업이 급속도로 성장하고 있다. 지능형 로봇과 관련해서는 특히 자율 이동 로봇, 그리고 그것의 경로계획과 주행에 관한 연구가 널리 진행되고 있다. 자율 이동 로봇은 주어진 환경에서 효율적인 주행을 하기 위하여 환경 지도를 구성하고, 이를 기반으로 목표 지점에 대한 효율적인 광역 주행 경로를 계산하게 되고, 계산된 광역 경로를 주행하여 목표 지점에 이르게 된다. 본 논문에서는 퍼지 환경 지도를 제안하고, 퍼지 환경 지도로부터 최단시간 광역 경로 계산 알고리즘을 소개하며, 주행 제어를 위한 퍼지 논리 제어기를 제안한다.

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A Study on Path Planning and Navigation of Autonomous Mobile Robot (자율 이동 로봇의 경로계획과 주행)

  • Kwack, Sang-Feel;Choi, Byung-Jae;Yoo, Seog-Hwan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.1
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    • pp.55-60
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    • 2006
  • 지능형 로봇이 성장 동력 산업으로 선정되면서 국가적인 관심이 지능형 로봇산업에 모이고 있다. 지능형 로봇의 분야에서 있어 자율 이동 로봇에 관한 연구는 중요한 이슈가 되고 있다. 주어진 환경에서 환경을 인식하고, 얻어진 정보에 따라 효율적인 주행을 하기 위해 환경지도를 구성한다. 구성된 환경지도를 기반으로 목표지점을 향한 광역경로 계산을 수행하고, 얻어진 경로를 따라 이동함으로써 목표점에 이르게 된다. 본 논문에서는 퍼지 환경 지도를 제안하고, 퍼지 환경지도로부터 최단시간 광역 경로를 계산하는 알고리즘을 소개하며, 주행 제어를 위한 퍼지 제어기를 제안한다.

Study on the Shortest Path finding of Engine Room Patrol Robots Using the A* Algorithm (A* 알고리즘을 이용한 기관실 순찰로봇의 최단 경로 탐색에 관한 연구)

  • Kim, Seon-Deok
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.2
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    • pp.370-376
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    • 2022
  • Smart ships related studies are being conducted in various fields owing to the development of technology, and an engine room patrol robot that can patrol the unmanned engine room is one such study. A patrol robot moves around the engine room based on the information learned through artificial intelligence and checks the machine normality and occurrence of abnormalities such as water leakage, oil leakage, and fire. Study on engine room patrol robots is mainly conducted on machine detection using artificial intelligence, however study on movement and control is insufficient. This causes a problem in that even if a patrol robot detects an object, there is no way to move to the detected object. To secure maneuverability to quickly identify the presence of abnormality in the engine room, this study experimented with whether a patrol robot can determine the shortest path by applying the A* algorithm. Data were obtained by driving a small car equipped with LiDAR in the ship engine room and creating a map by mapping the obtained data with SLAM(Simultaneous Localization And Mapping). The starting point and arrival point of the patrol robot were set on the map, and the A* algorithm was applied to determine whether the shortest path from the starting point to the arrival point was found. Simulation confirmed that the shortest route was well searched while avoiding obstacles from the starting point to the arrival point on the map. Applying this to the engine room patrol robot is believed to help improve ship safety.

Design and Implementation of Optimal Path Search Service Using GPS Information in Photo File (사진에 포함된 GPS정보를 이용한 최적화된 경로탐색 서비스 설계 및 구현)

  • Kim, Jun-Yeong;Kim, Seog-Gyu
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.12
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    • pp.199-207
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    • 2012
  • In this paper, we designed and implemented path search system using GPS information in photo. The system extracts EXIF information included in a photo to get path information and performs path search by applying the shortest path algorithm with the use of GPS information out of information, which was extracted in this way. And then it shows the obtained path information on web by utilizing Yahoo Map API. For this, the system is designed using a method of extracting location information in a photo and path sorting through applying the shortest path algorithm. UI(User Interface) was implemented using Yahoo Map API. Based on that, we implemented path search service using photo file that is included GPS information.

Search of Optimal Path and Renewal via network based Reinforcement Learning Algorithm and sharing of System Imformation (네트워크 기반의 강화학습 알고리즘과 시스템의 정보공유화를 통한 최단경로 검색과 갱신)

  • Min, Seong-Joon;Chang, Jong-Soo;Kim, Hong-Yoon;Heo, Hoon
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2900-2902
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    • 2005
  • 본 논문에서는 환경과 시스템의 상호작용을 통한 경험에 의해 습득된 정보를 개체간 네트워크를 통하여 갱신하는 과정을 구성하는 연구를 하였다. 기존의 연구에서는 강화학습 알고리즘을 이용하여 임의의 구역에 대한 지도 정보를 습득하고 이를 바탕으로 개체들 각각의 최적의 행동 정책을 구성하는 바 이 때 각각의 체개체가 가지고 있는 최단경로에 대한 정보의 우위를 결정하는 과정을 추가하였다. 이를 바탕으로 최종적으로 선택된 경로에 대한 정보를 업데이트하여 구성 된 네트워크를 통한 개체간 데이터를 동시에 공유하는 과정을 거쳐서 각각의 시스템이 스스로 정보를 갱신하는 방법을 제안하였다 또한 이 제안한 개념의 적합성을 입증하기 위하여 개체간의 정보를 통합하고 비교하는 실험을 수행하여 성공적인 결과를 얻었다.

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Performance Evaluation of Different Route Planning Algorithms in the Vehicle Navigation System (차량 항법 시스템의 경로 탐색을 위한 탐색 알고리즘들의 성능 비교)

  • Lee, Jae-Mu;Kim, Jong-Hoon;Jeon, H.-Seok
    • Journal of The Korean Association of Information Education
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    • v.2 no.2
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    • pp.252-259
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    • 1998
  • Vehicle navigation systems employ a certain route planning algorithm that provides the shortest path between the starting point and the destination point. The performance of a given route planning algorithm is measured through the degree of optimal route selection and the time cost to complete searching an optimal path. In this paper, various route planning algorithms are evaluated through computer simulation based on a real digital map database. Among those algorithms evaluated in this paper, the Modified Bi-directional A${\ast}$ algorithm is found to be the best algorithm for use in vehicle navigation systems.

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A study on pedestrian path search based on the shortest distance algorithm using Map API (Map API를 활용한 최단 거리 알고리즘 기반 보행자 경로 탐색 연구)

  • Jeon, Sung-woo;Kim, Yunbae;Kim, Junyoung;Park, Seonyoung;Jung, Heo-kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.219-221
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    • 2022
  • In recent summer, as it is concentrated, even in mountainous areas, flooding and flooding cause casualties in pedestrian evacuation situations. To compensate for this, a system that detects the occurrence of flooding and allows pedestrians to evacuate safely is required. Therefore, in this paper, we propose a research on pedestrian path search based on the shortest distance algorithm using Map API. The pedestrian route search system outputs a map using the T Map API, selects nearby buildings as shelters, and stores data. A shelter close to the pedestrian's current location is selected, and the shortest route is output and the distance and time are provided. If there is a problem with the current route during evacuation, another shelter route is provided from the current location. Therefore, it is thought that the pedestrian route search evacuation system proposed in this paper will prevent accidents during evacuation.

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Implementing Autonomous Navigation of a Mobile Robot Integrating Localization, Obstacle Avoidance and Path Planning (위치 추정, 충돌 회피, 동작 계획이 융합된 이동 로봇의 자율주행 기술 구현)

  • Noh, Sung-Woo;Ko, Nak-Yong;Kim, Tae-Gyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.1
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    • pp.148-156
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    • 2011
  • This paper presents an implementation of autonomous navigation of a mobile robot indoors. It explains methods for map building, localization, obstacle avoidance and path planning. Geometric map is used for localization and path planning. The localization method calculates sensor data based on the map for comparison with the real sensor data. Monte Carlo Localization(MCL) method is adopted for estimation of the robot position. For obstacle avoidance, an artificial potential field generates repulsive and attractive force to the robot. Dijkstra algorithm plans the shortest distance path from a start position to a goal point. The methods integrate into autonomous navigation method and implemented for indoor navigation. The experiments show that the proposed method works well for safe autonomous navigation.

A Study on the Web Mapping Method and Application of the Topographic Information in an Open Environment (개방환경에서 지형정보의 웹지도화 방법과 적용에 관한 연구)

  • Kim, Nam-Shin
    • Journal of the Korean association of regional geographers
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    • v.13 no.5
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    • pp.563-575
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    • 2007
  • This study aims to investigate a possibility of using topographic information by web mapping in open environments. Web mapping intends to focus on a map analysis and application of the function and geo-visualization. Functions of Web topographic info-map include a spatial analysis, enlargement and minimization, movement, landuse information, user-controling 3 dimension map, landform cross-section analysis, shortest path analysis. The web system adopts SVG(scalable vector graphics), MYSQL, PHP, XML for mapping. SVG has open source policy, so everyone can use it, as well, it is effective on flexible database linkage, cartographic representation. 3D map is intended to represent 3D map by user-controlled sunshine putting pixel opacity by elevation values after making DEM. Landform is designed to show a cross-section analysis and statistics by retrieving height information from database engine with clicking two points on the map. Shortest path analysis within regions uses Dijkstra's algorithm. Near future, resultantly, the area of WebGIS will have to meet more social demands for use-created geo-information and application, so more researches are needed to be web mapping more applicable for users.

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