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Proceedings Paper

Vision technology for locating container trucks
Author(s): Junji He; Li Shi; Yang Xiao; Weijian Mi
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Paper Abstract

One of the bottlenecks of loading and unloading a container is that it is a hard job for a driver to park the container truck appropriately and quickly under the quayside container crane. It depends on the experience and eyeballing of the driver to adjust the parking position of the truck. This adjusting process undoubtedly delays the loading and unloading procedure, and thus degrades the efficiency. A method using monocular vision technology is proposed here to detect the position and speed of a moving container truck so that reasonably information can be shown to the driver to help him park the truck quickly and accurately. Thus, time is saved and efficiency is upgraded. In this paper, feasibility of using monocular vision technology in this application is firstly demonstrated. Then, the mathematical model of this method is established. Based on this model, we analyze the speed and accuracy of the detecting method. Finally, the simulation result of the analysis is delivered to demonstrate that the method is a simple and feasible way to solve this kind of problem.

Paper Details

Date Published: 28 October 2006
PDF: 5 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 635811 (28 October 2006); doi: 10.1117/12.717790
Show Author Affiliations
Junji He, Shanghai Maritime Univ. (China)
Li Shi, Shanghai Maritime Univ. (China)
Yang Xiao, Shanghai Maritime Univ. (China)
Weijian Mi, Shanghai Maritime Univ. (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

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