Sensor based Vehicle Environment Perception Information System

被引：2
|
作者：
Qureshi, Kashif Naseer [1 ]
Abdullah, Abdul Hanan [1 ]
Ullah, Ghufran [1 ]
机构：
[1] Univ Teknol Malaysia, Fac Comp, Dept Commun, Skudai, Johor Bahru, Malaysia
来源：
2014 IEEE 11TH INTL CONF ON UBIQUITOUS INTELLIGENCE AND COMPUTING AND 2014 IEEE 11TH INTL CONF ON AUTONOMIC AND TRUSTED COMPUTING AND 2014 IEEE 14TH INTL CONF ON SCALABLE COMPUTING AND COMMUNICATIONS AND ITS ASSOCIATED WORKSHOPS | 2014年
关键词：
Sensor; Information system; Base station; Error rate;
D O I：
10.1109/UIC-ATC-ScalCom.2014.60
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A sensor based vehicle information system (SVIS) is proposed to study vehicle environment perception in this paper. The different types of sensors are installed on the road side environment and wireless communication technology is used to realize the sense information between sensor, base stations and servers. The system considered the high speed characteristics of vehicles, when vehicles will be passing a road ahead that is prone to accidents; the vehicles driving states should be predicted to ensure drivers have advance information about road and safe from accidents. To evaluate the performance and stability the traditional sensor mounted system compared with SVIS system. The simulation results show the accuracy and efficiency of proposed system.
引用
收藏
页码：697 / 700
页数：4
相关论文
共 50 条
  • [31] Agricultural vehicle path tracking navigation system based on information fusion of multi-source sensor
    Zhang, Tiemin
    Li, Huihui
    Chen, Dawei
    Huang, Penghuan
    Zhuang, Xiaolin
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 46 (03): : 37 - 42
  • [32] Design and implementation of a vehicle-to-vehicle based traffic information system
    Zhang, J
    Ziliaskopoulos, AK
    Wen, N
    Berry, RA
    2005 IEEE Intelligent Transportation Systems Conference (ITSC), 2005, : 473 - 477
  • [33] IoT based sensor enabled vehicle parking system
    Dheeven T.A.
    Kumar P.M.
    Venkatesh V.
    Sailaja K.A.I.
    Measurement: Sensors, 2024, 31
  • [34] The Intelligent Vehicle Navigation System Based on Photoelectric Sensor
    Sun, Dongxu
    Zhang, Wenbin
    Liu, Xueyang
    MACHINERY, MATERIALS SCIENCE AND ENGINEERING APPLICATIONS, 2012, 510 : 835 - 841
  • [35] Vehicle Supervision System Based on MEMS Geomagnetic Sensor
    Wang, Jin
    Li, Guofeng
    Liu, Yiyi
    Lu, Yi
    Gao, Xianhu
    Zhang, Yong
    Tao, Ke
    2009 4TH IEEE INTERNATIONAL CONFERENCE ON NANO/MICRO ENGINEERED AND MOLECULAR SYSTEMS, VOLS 1 AND 2, 2009, : 331 - 334
  • [36] Automatic Vehicle Tracking System Based on Inductance Sensor
    Cai, Lijian
    Guo, Yecai
    Wang, Xiang
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MECHANICAL ENGINEERING (EMIM 2017), 2017, 76 : 388 - 392
  • [37] Validation of Vehicle Environment Sensor Models
    Schaermann, Alexander
    Rauch, Andreas
    Hirsenkorn, Nils
    Hanke, Timo
    Rasshofer, Ralph
    Biebl, Erwin
    2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 405 - 411
  • [38] A ubiquitous power management system based on environment perception
    Song, Wei
    Feng, Ning
    Wang, Yanwei
    Mao, Wentao
    Song, Liangliang
    8TH INTERNATIONAL CONFERENCE ON ADVANCES IN INFORMATION TECHNOLOGY, 2017, 111 : 190 - 195
  • [39] An artificial-vision based environment perception system
    Nogueira, S.
    Ruichek, Y.
    Gechter, F.
    Koukam, A.
    Charpillet, F.
    ADVANCES FOR IN-VEHICLE AND MOBILE SYSTEMS: CHALLENGES FOR INTERNATIONAL STANDARDS, 2007, : 35 - 46
  • [40] The Kinect-based robot environment perception system
    Peng, Li
    Zhang, Chuang
    2023 THE 6TH INTERNATIONAL CONFERENCE ON ROBOT SYSTEMS AND APPLICATIONS, ICRSA 2023, 2023, : 1 - 5
12345