• Title/Summary/Keyword: On-Vehicle Information System

Search Result 1,750, Processing Time 0.028 seconds

Vehicle License Plate Recognition System on PDA for Illegal Parking Car Regulation (주정차 단속을 위한 PDA 기반의 자동차번호판 인식 시스템)

  • Yoon Hee-Joo;Cho Hoon;Koo Kyung-Mo;Cha Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2006.05a
    • /
    • pp.792-795
    • /
    • 2006
  • In this paper, we propose a method of vehicle license plate recognition on PDA for illegal parking car regulation. we classified three kinds of vehicle license plates being used down to date since the introduction of each vehicle license Plate using features of each one. And we recognized vehicle license plates segmentation the AreaName, the AreaCode, the TypeCharacter and the Numbers. A 88.7% recognition accuracy was obtained through the experiment of the proposed vehicle license plate recognition system using the obtained images of PDA.

  • PDF

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
    • /
    • v.22 no.1
    • /
    • pp.93-102
    • /
    • 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.

OPTIMAL PREVIEW CONTROL OF TRACKED VEHICLE SUSPENSION SYSTEMS

  • Youn, I.;Lee, S.;Tomizuka, M.
    • International Journal of Automotive Technology
    • /
    • v.7 no.4
    • /
    • pp.469-475
    • /
    • 2006
  • In this paper, an optimal suspension system with preview of the road input is synthesized for a half tracked vehicle. The main goal of this research is to improve the ride comfort characteristics of a fast moving tracked vehicle in order to maintain the driver's driving capability. Several different kinds of preview control algorithms are evaluated with active or semi-active suspension systems. The road information estimated from the motion of the 1st road-wheel is adequate to make the best use of the preview control algorithm for tracked vehicles. The ride-comfort characteristics of the tracked vehicle are more dependent on pitching angular acceleration than heaving acceleration. The pitching motion is reduced by the suspension system with hard outer suspensions and soft inner suspensions. Simulation results show that the performance of sky-hook algorithms for ride comfort nearly follow that of full state feedback algorithms.

Real-time Vehicle Tracking Algorithm According to Eigenvector Centrality of Weighted Graph (가중치 그래프의 고유벡터 중심성에 따른 실시간 차량추적 알고리즘)

  • Kim, Seonhyeong;Kim, Sangwook
    • Journal of Korea Multimedia Society
    • /
    • v.23 no.4
    • /
    • pp.517-524
    • /
    • 2020
  • Recently, many researches have been conducted to automatically recognize license plates of vehicles and use the analyzed information to manage stolen vehicles and track the vehicle. However, such a system must eventually be investigated by people through direct monitoring. Therefore, in this paper, the system of tracking a vehicle is implemented by sharing the information analyzed by the vehicle image among cameras registered in the IoT environment to minimize the human intervention. The distance between cameras is indicated by the node and the weight value of the weighted-graph, and the eigenvector centrality is used to select the camera to search. It demonstrates efficiency by comparing the time between analyzing data using weighted graph searching algorithm and analyzing all data stored in databse. Finally, the path of the vehicle is indicated on the map using parsed json data.

A Study on System for Human-Vehicle Interface System Development (운전자 정보제공 Human-Vehicle 인터페이스 시스템)

  • Choi, Jongwoo;Kim, Kyongho
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2010.04a
    • /
    • pp.576-578
    • /
    • 2010
  • 운전자 정보제공 HVI(Human-Vehicle Interface) 시스템은 운전자에게 보다 향상된 인터페이스를 제공하기 위한 시스템이다. 요즘에는 다양한 정보기기가 등장하면서 운전 중에 다양한 정보를 습득할 수 있고 유용한 정보로 활용할 수 있다. 반면 이러한 기기들이 통합되지 않음으로 인해 조작에 불편을 주고 때로는 유용한 정보가 운전에 방해를 주는 요인이 된다. 따라서 본 연구에서는 운전자에게 정보제공을 위한 HVI 통합 시스템을 설계하여 다양한 정보기기를 통해 수집되는 정보를 운전자에게 효과적으로 제공하고 운전 중에 운전자의 동작을 최소화기 위한 시스템을 설계한다.

HEV: A Review (하이브리드 전기 자동차(HEV) 기술동향)

  • Nah, Do-Baek;Shin, Hyo-Soon
    • Journal of Energy Engineering
    • /
    • v.19 no.1
    • /
    • pp.39-50
    • /
    • 2010
  • Hybrid Electric Vehicle(HEV) and Plug-in Hybrid Electric Vehicle(PHEV) will replace Conventional Gasolene Engine Vehicle at a rapid rate to eliminate emission gases and improve fuel economy. This review describes Fuzzy Logic Control strategy and Optimization for Parallel Hybrid Electric Vehicle. Recent progress on Electric Motor and Li-ion Battery for HEV and PHEV are given. Analysis on competitiveness of Korean HEV and PHEV technology based on the number of papers published and patents registered are also performed.

Vehicle Image Recognition Using Deep Convolution Neural Network and Compressed Dictionary Learning

  • Zhou, Yanyan
    • Journal of Information Processing Systems
    • /
    • v.17 no.2
    • /
    • pp.411-425
    • /
    • 2021
  • In this paper, a vehicle recognition algorithm based on deep convolutional neural network and compression dictionary is proposed. Firstly, the network structure of fine vehicle recognition based on convolutional neural network is introduced. Then, a vehicle recognition system based on multi-scale pyramid convolutional neural network is constructed. The contribution of different networks to the recognition results is adjusted by the adaptive fusion method that adjusts the network according to the recognition accuracy of a single network. The proportion of output in the network output of the entire multiscale network. Then, the compressed dictionary learning and the data dimension reduction are carried out using the effective block structure method combined with very sparse random projection matrix, which solves the computational complexity caused by high-dimensional features and shortens the dictionary learning time. Finally, the sparse representation classification method is used to realize vehicle type recognition. The experimental results show that the detection effect of the proposed algorithm is stable in sunny, cloudy and rainy weather, and it has strong adaptability to typical application scenarios such as occlusion and blurring, with an average recognition rate of more than 95%.

The Design and Implementation of a Multi-Session Processing Between RMA and RCP within a Vehicle Tracking System (차량 추적 시스템에서 RMA와 RCP 사이의 다중세션 설계 및 구현)

  • Jang, Chung Ryong;Lee, Yong Kwon;Lee, Dae Sik
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.10 no.3
    • /
    • pp.127-141
    • /
    • 2014
  • A Vehicle Tracking System consists of GPS tracking device which fits into the vehicle and captures the GPS location information at regular intervals to a central GIS server, and GIS tracking server providing three major responsibilities: receiving data from the GPS tracking unit, securely storing it, and serving this information on demand of the user. GPS based tracking systems supporting a multi-session processing among RMA, RM, and RCP can make a quick response to various services including other vehicle information between RSU and OBU on demand of the user. In this paper we design RSU lower layers and RCP applications in OBU for a multisession processing simulation and test message processing transactions among RMA-RM and RM-RCP. Furthermore, we implement the additional functions of handling access commands simultaneously on multiple service resources which are appropriate for the experimental testing conditions. In order to make a multi-session processing test, it reads 30 resource data,0002/0001 ~ 0002/0030, in total and then occurs 30 session data transmissions simultaneously. We insert a sequence number field into a special header of dummy data as a corresponding response to check that the messages are received correctly. Thus, we find that GIS service system with a multi-session processing is able to provide additional 30 services in a same speed of screen presentation loading while identifying the number of session processing of Web GIS service, the number of OBU service, and the speed of screen presentation loading by comparing a single session and a multi-session of GIS service system.

A Design and Implementation of the Remote Control Black Box System of Vehicle Using the Smart Phone

  • Song, Jong-Geun;Jang, Won-Tae;Kim, Tae-Yong
    • Journal of information and communication convergence engineering
    • /
    • v.8 no.6
    • /
    • pp.665-670
    • /
    • 2010
  • This paper suggests the vehicle remote control on the basis of Smart Phone. In general, most smart phone is mounted with G-sensor to control the motion. G-sensor is able to control several directions and movements of velocity along with X, Y, and Z axis. To access remote location and data system, we can also utilize Wi-Fi communication as well as bluetooth communication. In this study, we propose the scheme that is the car management application by remote control via real-time monitoring on mobile device for user convenience.

Probabilistic Evaluation of Voltage Quality on Distribution System Containing Distributed Generation and Electric Vehicle Charging Load

  • CHEN, Wei;YAN, Hongqiang;PEI, Xiping
    • Journal of Electrical Engineering and Technology
    • /
    • v.12 no.5
    • /
    • pp.1743-1753
    • /
    • 2017
  • Since there are multiple random variables in the probabilistic load flow (PLF) calculation of distribution system containing distributed generation (DG) and electric vehicle charging load (EVCL), a Monte Carlo method based on composite sampling method is put forward according to the existing simple random sampling Monte Carlo simulation method (SRS-MCSM) to perform probabilistic assessment analysis of voltage quality of distribution system containing DG and EVCL. This method considers not only the randomness of wind speed and light intensity as well as the uncertainty of basic load and EVCL, but also other stochastic disturbances, such as the failure rate of the transmission line. According to the different characteristics of random factors, different sampling methods are applied. Simulation results on IEEE9 bus system and IEEE34 bus system demonstrates the validity, accuracy, rapidity and practicability of the proposed method. In contrast to the SRS-MCSM, the proposed method is of higher computational efficiency and better simulation accuracy. The variation of nodal voltages for distribution system before and after connecting DG and EVCL is compared and analyzed, especially the voltage fluctuation of the grid-connected point of DG and EVCL.