• Title/Summary/Keyword: u-Vehicle

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A Study on U-Turn Location and Length Estimation at Signalized Intersection (신호교차로에서 U-Turn허용구간의 위치 및 적정길이 산정에 관한 연구)

  • Lee, Jung-Hwan;Park, Je-Jin;Ha, Tae-Jun
    • Journal of Korean Society of Transportation
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    • v.26 no.1
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    • pp.203-213
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    • 2008
  • U-Turn offers convenience to drivers. U-Turn increases efficiency of traffic flow. But Standard of U-Turn is not clear. It caused many problems of traffic flow and traffic safety. This study estimate length between U-Turn location with front intersection based on stopping sight distance and left-turn vehicle's queue length. Variables are used traffic volume and operation speed. This study Analysis of U-Turn vehicle's behaviors and classification of conflict form by investigation. U-Turn length estimating based on relationship analysis between conflict with U-Turn length. Variables are used lane changing angles and operation speed. This study estimates length between U-Turn location with back intersection based on gap acceptance theory. Variables are used traffic volume, operation speed and lane changing angles. So, U-Turn location and length estimated considering traffic flow and traffic safety.

Stereo Vision-Based Obstacle Detection and Vehicle Verification Methods Using U-Disparity Map and Bird's-Eye View Mapping (U-시차맵과 조감도를 이용한 스테레오 비전 기반의 장애물체 검출 및 차량 검증 방법)

  • Lee, Chung-Hee;Lim, Young-Chul;Kwon, Soon;Lee, Jong-Hun
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.6
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    • pp.86-96
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    • 2010
  • In this paper, we propose stereo vision-based obstacle detection and vehicle verification methods using U-disparity map and bird's-eye view mapping. First, we extract a road feature using maximum frequent values in each row and column. And we extract obstacle areas on the road using the extracted road feature. To extract obstacle areas exactly we utilize U-disparity map. We can extract obstacle areas exactly on the U-disparity map using threshold value which consists of disparity value and camera parameter. But there are still multiple obstacles in the extracted obstacle areas. Thus, we perform another processing, namely segmentation. We convert the extracted obstacle areas into a bird's-eye view using camera modeling and parameters. We can segment obstacle areas on the bird's-eye view robustly because obstacles are represented on it according to ranges. Finally, we verify the obstacles whether those are vehicles or not using various vehicle features, namely road contacting, constant horizontal length, aspect ratio and texture information. We conduct experiments to prove the performance of our proposed algorithms in real traffic situations.

Design of Advanced Tele-operated Control System for Unmanned Vehicle

  • Park, Jae-Hong;Son, Young-Jin;Kim, Jung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.915-919
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    • 2005
  • It is materialized an unmanned vehicle system as a part of Intelligent Transportation System (ITS) which is a fundamental constituent for unmanned vehicle. Remote control system, monitoring system and remote operating system which are consisted of unmanned vehicle system. Network program by TCP/IP socket, and real-time control & operating controlled by servo-motors from a remote place, those are used to verify safety and stability of the unmanned vehicle system in this research. This unmanned vehicle is divided into two major sections which are an unmanned vehicle part and control station part. The server PC is installed on the unmanned vehicle and a client PC is installed at a remote place, which can control the u manned vehicle. In this research work, main theme is that we experimented and tested to check the speed and utilization of the wireless LAN communication.

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Improving the Vehicle Damage Detection Model using YOLOv4 (YOLOv4를 이용한 차량파손 검출 모델 개선)

  • Jeon, Jong Won;Lee, Hyo Seop;Hahn, Hee Il
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.750-755
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    • 2021
  • This paper proposes techniques for detecting the damage status of each part of a vehicle using YOLOv4. The proposed algorithm learns the parts and their damages of the vehicle through YOLOv4, extracts the coordinate information of the detected bounding boxes, and applies the algorithm to determine the relationship between the damage and the vehicle part to derive the damage status for each part. In addition, the technique using VGGNet, the technique using image segmentation and U-Net model, and Weproove.AI deep learning model, etc. are included for objectivity of performance comparison. Through this, the performance of the proposed algorithm is compared and evaluated, and a method to improve the detection model is proposed.

A Consideration on the Inspection Frequency of the Periodic Technical Vehicle Inspection (자동차 정기검사 주기에 관한 고찰)

  • Lim, J.M.;Jung, Y.D.;Yeo, U.S.;Kang, B.D.;Youn, Y.H.
    • Journal of Auto-vehicle Safety Association
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    • v.4 no.2
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    • pp.17-21
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    • 2012
  • The periodic technical vehicle inspection is to prevent the accident through the finding and fixing the defects of the vehicle. The periodic technical vehicle inspection in Korea was studied for assessing the adequacy of the inspection frequency. The inspection frequencies of many countries including EU, USA and Japan were compared. The average mileages by the vehicle usage and type were represented. The warranty period and recommended replacement period of parts of the domestic auto makers was studied. Currently, the inspection frequency for the periodic technical vehicle inspection in Korea is appropriate. The pass-fail rate and the cost-benefit analysis for the periodic technical inspection in Korea will be needed in the decision making process for the inspection frequency.

Wireless Mesh Network based on Routing Algorithm for guaranteing QoS between End-to-End in VANET (차량 통신 네트워크에서 End-to-End간의 QoS 보장을 위한 무선 메쉬 네트워크 기반의 라우팅 알고리즘)

  • Ryu, Min-Woo;Yoon, Jae-Seok;Lee, Sang-Shin;Won, Kwang-Ho;Cho, Kuk-Hyun
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.428-432
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    • 2011
  • 차량 통신 네트워크(VANET, Vehicle Ad hoc NETwork)는 ITS(Intelligent Transport System)의 발전과 함께 운전자의 안전 및 교통 정보, 긴급 메시지 등과 같은 서비스를 실시간으로 가능하게 할 수 있는 차세대 네트워크 기술이다. 이러한 차량 통신 네트워크는 현재 IEEE P1609에서 정의하고 있으며, WAVE(Wireless Access Vehicular Environment)로 알려져 있다. WAVE는 차량에 설치된 OBU(Onboard Unit)와 주변시설에 설치된 RSU(Road Side Unit)을 통하여 통신하며, 차량 간 통신을 지원하는 V2V(Vehicle to Vehicle)와 차량과 주변시설과의 통신을 지원하는 V2I(Vehicle to Infrastructure)로 나뉘어져 있다. 하지만 WAVE에서 정의하고 있는 네트워크 서비스(IEEE P1609.4)는 OBU와 RSU 간의 네트워크 서비스에 초점을 맞추고 있기 때문에 전체 네트워크의 QoS를 보장하기에는 미흡한 상태이다. 따라서 본 논문에서는 차량 통신 네트워크에서 End-to-End 간의 QoS 보장을 위한 무선 메쉬 네트워크 기반의 라우팅 알고리즘을 제안한다. 제안하는 알고리즘은 무선 메쉬 네트워크 노드의 호스트 라우터 기능을 통하여 차량 노드와 이기종 간의 네트워크 서비스를 가능하게 하며, 무선 메쉬 네트워크의 다중 채널을 이용하여 데이터의 중요도에 따른 차등 서비스를 지원한다. ns-2를 이용한 시뮬레이션 결과 제안하는 알고리즘이 QoS를 보장함으로써 차량 통신 네트워크의 성능을 향상시킬 수 있음을 입증하였다.

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Design and Implementation of Web based Traceability Management System for Logistics Vehicle using GPS and RFID (GPS 및 RFID를 이용한 웹 기반 물류차량 이력관리 시스템 설계 및 구현)

  • Jung, Se-Hoon;Sim, Chun-Bo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.12
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    • pp.2737-2746
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    • 2010
  • Recently, Logistics industry has emerged a new u-logistics paradigm combines USN / RFID technology. In this paper offers a vehicle history Web-based logistics management system based on the u-logistics paradigm. The design of this system is considered all events processes as a form of recycling and entire system is to modeling based UML of object oriented. Also It was undergone some process to make sure by logistics vehicles identified that RFID based was identified vehicle logistics. To identify logistics vehicle based RFID, identified the logistics vehicles is a process that will determine. The implementation method designed the interface based web which uses in the manager to C/S methods, consideration of the mobility of the system user implements the user GUI based PDA. As well as, In this paper was separated customer, manufacturer, distributor, administrator, drivers, respectively and focuses to raise a system reusability which is implementation by separately for each feature.

Implementation of Vehicle Location Identification and Image Verification System in Port (항만내 차량 위치인식 및 영상 확인 시스템 구현)

  • Lee, Ki-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.12
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    • pp.201-208
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    • 2009
  • As the ubiquitous environment is created, the latest ports introduce U-Port services in managing ports generally and embody container's location identification system, port terminal management system, and advanced information exchange system etc. In particular, the location identification system for freight cars and containers provide in real time the information on the location and condition for them, and enables them to cope with an efficient vehicle operation management and its related problems immediately. However, such a system is insufficient in effectively handling with the troubles in a large-scale port including freight car's disorderly driving, parking, stop, theft, damage, accident, trespassing and controlling. In order to solve these problems, this study structures the vehicle positioning system and the image verification system unsing high resolution image compression and AVE/H.264 store and transmission technology, able to mark and identify the vehicle location on the digital map while a freight car has stayed in a port since the entry of an automatic gate, or able to identify the place of accident through image remotely.

A Study on the Improvement of Motor Vehicles Safety Certification System According to the Deployment of Autonomous Vehicle (자율주행자동차 상용화에 따른 자동차 안전 인증제도 개선에 관한 연구)

  • Yong Hyuk, Cho;Jeong Ah, An;Sang Hyun, Lee
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.4
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    • pp.106-112
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    • 2022
  • The purpose of this study is to explore ways of improving the motor vehicles safety certification system in preparation for the deployment of Lv.4 or higher autonomous vehicles. In order to effectively achieve the objectives of this study, theoretical and empirical research methodologies were employed, including literature review of prior research, government-published data, etc.; comparative research on legislative cases of other countries regarding motor vehicles safety certification; historical and legal research on domestic systems; legal analysis to explore approaches for improvement, etc. Some argue that the type approval system is needed in preparation for deploying autonomous vehicles, but there are several limitations in moving to the type approval system from the self-certification system currently adopted in Korea. First, there is a possibility that the system may be in conflict with the Korea-U.S. MOU regarding Foreign Motor Vehicles (1988) and the Korea-U.S. FTA (2011); second, there is a risk of undermining the cause of the self-certification system, which is the autonomy of manufacturers; third, the boundary between autonomous vehicles and non-autonomous vehicles is unclear; and fourth, the type approval system may hinder technological competitiveness. On the other hand, considering that the Korea-U.S. FTA and the UNECE IWVTA recognize exceptions to deal with road safety and risks to human health or the environment, and have a pre-certification system for some auto parts such as pressure-resistant containers, it can be said that there is room to introduce the type approval system for supplementation purposes. To improve the motor vehicles safety certification system while ensuring the safety of autonomous vehicles of Lv.4 or higher, the targets of type approval should be defined and the criteria, procedures, etc. for type approval should be established. At the same time, the consistency between motor vehicle-related laws and harmonization with international standards need to be considered.