A novel container truck locating system based on vision technology

Junji He; Li Shi; Weijian Mi

doi:10.1117/12.807626

13 October 2008 A novel container truck locating system based on vision technology

Junji He, Li Shi, Weijian Mi

Proceedings Volume 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration; 71290H (2008) https://doi.org/10.1117/12.807626
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

On a container dock, the container truck must be parked right under the trolley of the container crane before loading (unloading) a container to (from) it. But it often uses nearly one minute to park the truck at the right position because of the difficulty of aiming the truck at the trolley. A monocular machine vision system is designed to locate the locomotive container truck, give the information about how long the truck need to go ahead or go back, and thereby help the driver park the truck fleetly and correctly. With this system time is saved and the efficiency of loading and unloading is increased. The mathematical model of this system is presented in detail. Then the calibration method is described. At last the experiment result testifies the validity and precision of this locating system. The prominent characteristic of this system is simple, easy to be implemented, low cost, and effective. Furthermore, this research work verifies that a monocular vision system can detect 3D size on condition that the length and width of a container are known, which greatly extends the function and application of a monocular vision system.

Citation Download Citation

Junji He, Li Shi, and Weijian Mi "A novel container truck locating system based on vision technology", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71290H (13 October 2008); https://doi.org/10.1117/12.807626

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KEYWORDS

Calibration

Cameras

Mathematical modeling

Image processing

3D image processing

3D modeling

Machine vision

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