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Pattern Recognition Techniques for Long-range Vehicle Position Tracking

Finlay, Andrew, Rouillard, Vincent and Wingate, Michael (2005) Pattern Recognition Techniques for Long-range Vehicle Position Tracking. In: Coasts and Ports 2005 : Coastal Living - Living Coast; Australasian Conference; Proceedings. Townsend, Murray Robert and Walker, David, eds. Institution of Engineers, Australia, Barton, A.C.T, pp. 155-159.

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Abstract

The research is aimed at investigating the use of pattem recognition techniques to detennine the location ofa number of mobiles within a large operational area. The paper examines current techniques for tracking the position of mobiles and discusses their advantages and limitations. These include DGPS, Inertial sensors, RADAR, Laser Ranging systems and 2-D infrared systems. The project is initially focused on tracking the location of container carrying vehicles with sub-meter accuracy over large areas typically in excess of 30 Hectares. The main feature of the concept is that it does not rely on vehicle-mounted active (powered) components. Tracking is achieved purely by recognising coded patterns (Le. fiducial markers attached to each vehicle) in video images. An additional significant outcome of the research is that it will enable the position of a large number of mobiles to be dotennined simultaneously and at short time intervals. The paper presents the outcomes of the initial stages of the research and identifies the parameters critical to the performance of the system. Potentially the research may find applications in fields such as mining, manufacturing and distribution, where the position of moving objects needs to be remotely tracked non-intrusively.

Item Type: Book Section
ISBN: 0646451308
Uncontrolled Keywords: vehicle positioning system, free ranging on grid, FROG, carrier phase GPS (CPGPS), range finding using beacons, inertial measurement unit, IMU, Patrick Stevedores, automatically guided vehicle, AGV
Subjects: FOR Classification > 0913 Mechanical Engineering
Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: VUIR
Date Deposited: 16 Jan 2014 00:59
Last Modified: 16 Jan 2014 00:59
URI: http://vuir.vu.edu.au/id/eprint/22440
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Citations in Scopus: 0 - View on Scopus

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