Literature Database Entry

chen2010tracking


Zheng Chen, "Tracking Vehicular Motion-Position Using V2V Communication," Master's Thesis, Electrical and Computer Engineering, University of Waterloo, August 2010. (Advisor: Ravi R. Mazumdar)

Abstract

formulation, This thesis presents the and position, validation of tracking algorithms for vehicular motion for use in active collision prevention in V2V communications. The main objective is to estimate and velocity of a vehicle based on update from vehicular wireless network. By using vehicular wireless network, the range of position estimation improves when compare to conventional radars and sensors. On the other hand, from a vehicular wireless network point of view regular measurement information update is more difficult to obtain because of packet losses due to interference between communicating vehicles. Our proposed algorithms are based on methods from position tracking termed alpha-beta trackers in aerospace applications with constant rate of information updates, with some modifications to better solve the problem. We present the main algorithms and (lightweight), provide numerical evidence of their accuracy based on simulation data. The modified filters are shown to be computationally efficient and system., provide sufficient accuracy for estimation of vehicle positions based on information update in a wireless V2V

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX

Contact

Zheng Chen

BibTeX reference

@phdthesis{chen2010tracking,
    author = {Chen, Zheng},
    advisor = {Mazumdar, Ravi R.},
    title = {{Tracking Vehicular Motion-Position Using V2V Communication}},
    institution = {Electrical and Computer Engineering},
    year = {2010},
    month = {August},
    location = {Waterloo, Ontario, Canada},
    school = {University of Waterloo},
    doi = {10012/5447},
    type = {Master's Thesis},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceeedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.