Modelling of target vehicle traffic and implementation of suboptimal sensor scheduling

Author

Sonmez, T. ; Blankenship, Gilmer L.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Maryland Coll. Park, College Park, MD, USA

fYear

2001

fDate

2001

Firstpage

482

Lastpage

486

Abstract

In this paper we consider the problem of locating and tracking a moving target using a collection of sensors. A model for the dynamics of a moving target is developed, and statistics of the target is assumed known or at least estimated. A strategy for (suboptimal) sensor scheduling is proposed in terms of minimizing the weighted combination of the sensor usage cost and error covariance of the target´s location. The sensor scheduling strategy is described and simulations are presented to evaluate the performance of the estimator based on actual target traffic data

Keywords

covariance analysis; dynamics; minimisation; scheduling; sensor fusion; target tracking; traffic engineering computing; error covariance; implementation of suboptimal sensor scheduling; moving target location; moving target tracking; road traffic; sensor usage cost; target statistics; target vehicle traffic modelling; weighted combination minimization; Dynamic scheduling; Educational institutions; Infrared sensors; Noise measurement; Optimal scheduling; Processor scheduling; State estimation; Target tracking; Traffic control; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on

Conference_Location

Mexico City

Print_ISBN

0-7803-6733-2

Type

conf

DOI

10.1109/CCA.2001.973912

Filename

973912