• Title/Summary/Keyword: 주차정보

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Parking information service system using LoRa network (LoRa 네트워크를 활용한 주차정보 서비스 시스템)

  • Kim, yuchan;Moon, Nammee
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.273-276
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    • 2020
  • 기존의 물리 센서를 활용한 주차 감지는 주차장 규모가 클수록 큰 비용이 필요하고 이미지 기반의 분석은 개별 주차장에 대한 데이터 라벨링과 학습의 노력이 필요했다. 본 논문은 LoRa(Long Range) 네트워크와 마이크로프로세서를 활용한 IoT기반의 시스템으로 영상데이터를 서버로 전송하고 COCO(Common Object in context) 데이터셋으로 학습된 Mask R-CNN 기반의 모델을 활용한 주차장 내 차량점유 감지 알고리즘을 통해 개별 주차장에 대한 학습 또는 라벨링 없이 주차장 내 주차상태를 식별하고 사용자에게 인터페이스를 통해 실시간으로 주차정보를 제공하는 시스템을 구현한다.

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SPGS: Smart Parking Space Guidance System based on User Preferences in a Parking Lot (사용자 선호도 기반의 스마트 주차 공간 안내 시스템)

  • Yoo, Seong-eun
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.4
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    • pp.29-36
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    • 2019
  • We propose a smart parking space guiding system based on user preferences in a parking lot. This system guides each vehicle to the most suitable parking space in a parking lot to meet the user preferences such as the available parking spaces in the parking zones and the proximity to the destination by exploiting the traffic to each parking zone gathered at the sensors near each guiding display. For this purpose, this paper proposes the cost function for the optimal route guide based on the various user preferences. In addition, the paper reports the design and implementation results of an event based simulator to show the feasibility of the smart parking guidance system.

Development of Unmanned Illegal Parking Control System Based on Marker Recognition (마커 인식 기반의 무인 불법 주차 단속 시스템 개발)

  • Tae-won Kim;Gyeong-ro Park;Chang-min Lee;Jea-hyung Jeong;Myung-hwan Kim;Hongseok Yoo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.487-488
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    • 2023
  • 전 세계적으로 도시화가 가속화됨에 따라 도시 내 차량의 수가 지속해서 증가하고 있지만 주차 공간의 부족으로 인해 도심 내 불법주차 문제가 심각해지고 있다. 또한 주차된 차량의 운전자 정보가 노출된 환경으로 인해 개인 정보 유출이 중요한 사회적 문제가 되고 있다. 따라서 본 논문에서는 불법주차 해소와 운전자 개인정보 보호를 동시에 해결하기 위한 자율주행 로봇 시스템을 제안한다. 제안한 방법에서는 정상 주차를 식별하기 방안으로 마커 인식을 적용하였고 ROS 기반 Stella N1을 사용하여 자율주행할 수 있는 로봇을 제작하였다. 또한 전화번호 없이 운전자와 연락을 취할 수 있는 메시지전달 앱을 개발하였다.

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Efficient Parking Management through The Investigation of Car License Plate Using Camera (카메라를 이용한 차량 번호판 조사를 통한 효율적 주차 관리)

  • Lee, Kang-Ho;Shin, Seong-Yoon;Choi, Byeong-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.11
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    • pp.145-151
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    • 2013
  • This research is to suggest a method for investigating car number plates among the information managed in parking facilities. The investigation of car number plate is generally used to know how long vehicles are parked. Also, it can provide the information about the parking turnover rate and the mean parking duration of parked vehicles. This research performs the investigation using cameras at a distance of time. That is, the given distance of time from cameras is assigned to each parked vehicle, and then it can find the mean parking time of parked vehicles. Also, it can check the parking turnover rate of parked vehicles at a space unit of parking lot in an hour. The information such as the mean parked duration and the parking turnover rate of parked vehicles taken from this method is helpful to find and understand the inefficient use of parking facilities. With this suggested method, this research attempted to check the mean parking duration and the parking turnover rate of parked vehicles.

Development of Disabled Parking System Using Deep Learning Model (딥러닝 모델을 적용한 장애인 주차구역 단속시스템의 개발)

  • Lee, Jiwon;Lee, Dongjin;Jang, Jongwook;Jang, Sungjin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.175-177
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    • 2021
  • The parking area for the disabled is a parking facility for the pedestrian disabled and is a parking space for securing pedestrian safety passage for the disabled. However, due to the lack of social awareness of areas for the disabled, the use of parking areas is restricted, and violations such as illegal parking and obstruction of parking are increasing every year. Therefore, in this study, we propose a system to crack down on illegal parking in handicapped parking areas using the YOLOv5 model, a deep learning object recognition model to improve parking interference within parking spaces.

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Location aware system using arduino (아두이노를 이용한 위치감지 시스템)

  • Choi, Min-ki;Lee, Jun-sik;Jung, Jae-il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.565-568
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    • 2016
  • Recently, the number of illegal parking is increasing as the number of cars are increasing. Especially, people who use residential parking permit program are in trouble because of illegal parking. The most typical example is that people who use residential parking permit are damaged in expense, etc and various social issues such as legal actions are caused by illegal parking. In this paper, we discuss about the arduino design for the system and uploading the location information to use the location information for a parking system.

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The Research for USN Applications of Parking Guidance and Information System (주차안내정보시스템의 USN기술 적용을 위한 연구)

  • Lee, Keun-Hee;Kum, Ki-Jung;Son, Seung-Neo
    • Journal of Korean Society of Transportation
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    • v.30 no.1
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    • pp.85-101
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    • 2012
  • Parking guidance and information systems have been introduced to response the inefficient and inconvenience use of parking facilities. While advanced countries have reached effective use of parking guidance information system, the Republic of Korea has yet suffered from the lack of full use of advanced technologies. This study proposes an algorithm designed for a systems utilizing the USN technologies. A field test was performed. The test results showed that information from the proposed system is much reliable when compared to the one from the existing.

Extraction of Parking Turnover Ratio (주차 회전율의 추출)

  • Shin, Seong-Yoon;Lee, Hyun-Chang;Ahn, Woo-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.109-110
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    • 2016
  • 본 논문에서는 효율적으로 주차 공간을 확보와 주차장 성능을 향상을 위한 방법을 조사하였다. 이러한 방법으로는 차량 번호판 조사를 이용하여 주차 회전율을 구하는 방법이 있었다. 본 연구로 효율적으로 주차장을 사용하고 있는지를 판단할 수 있다. 또한 차량의 주차를 하여 잘 소통되는지를 알 수 있었다.

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Artificial intelligence (AI) parking control solution using CCTV to solve multi-family housing parking problems (다세대주택 주차 문제 해소를 위한 CCTV를 활용한 인공지능(AI) 주차관제 솔루션)

  • Choi, Kyu-Min;Kim, Yu-Min;Shin, Jun-Pyo;Kim, Jung-Hyeon;Kwak, Min-Hyuk;Kim, Byung-Wan;Lee, Byong-Kwon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.273-275
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    • 2021
  • 본 논문에서는 기존 스마트주차관제 시스템의 한계로 인해 주차 관제의 사각지대에 있는 다세대 주택 주차 문제를 해결하는 솔루션을 제안한다. 기존 스마트 주차관제는 센서 기반의 고비용의 장비 및 시공비가 소요되며, 이러한 특성으로 인해 다세대 주택에 적용이 어렵다. 해당 문제를 해결하기 위해 본 논문은 기존 설비인 CCTV를 활용한 스마트 주차 관제 시스템을 제안하며, 해당 솔루션은 텐서플로 cnn중 알씨엔엔 RPN을 적용하여 차량 객체 인식 및 주차 공간 객체 인식을 구현하였으며, 다세대 주택 주변 CCTV 영상을 OpenCV를 활용하여 능동적이며 저비용의 스마트 주차 관제 방식을 구현하였으며 CCTV의 특성상 외곡되는 이미지를 OpenCV 이미지 변형을 통해 외곡 이미지를 복원하여 인식률을 높였다.

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Development and Effectiveness of Private Parking Information Algorithm (복합용도 초고층빌딩에 대한 개별주차정보제공 알고리즘 개발)

  • Kim, Young-Sun;Nam, Baek;Lee, Choul-Ki;OH, Young-Tae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.5
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    • pp.13-21
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    • 2013
  • Super high-rise buildings of combined use such as large shopping malls and multiplex etc. have larger parking facilities than general buildings and are characteristic of an increase in the number of the entrance and the exit connecting internal external space of the parking lot. These features cause a congestion of internal traffic by increasing car driving distance in the parking lot, and vehicle idling increases by drivers wander the parking lot in order to find parking space. In addition, they make drivers suffer from lots of difficulties due to parking including increasing their walking line after parking. Therefore, in this study, we developed individual parking information provision algorithm to specify the optimal parking place for drivers according to the purpose of visiting a building and the drivers' moving path, and selected new construction site for the second lotte world in order to evaluate the algorithm developed and performed evaluation. As a result of the evaluation, it was analyzed that in the case of applying the individual parking information provision algorithm compared to the existing parking information provision algorithm, moving distance in the parking lot decreases around 7.43~83.4%, and that in the case of $CO_2$ emission, it decreased about 47.7% on average, which indicates that the efficiency resulted from application of the individual parking information provision algorithm is very high as the application effects are tested.