An autonomous system of the bucket wheel reclaimer is developed to improve capability of the reclaimer in dark or bad whether. It obtains the 3D shape of the pile by the laser scanners mounted the reclaimer, and extracts the landing position through computer vision techniques. All the operations of the reclaimer can be controlled automatically in the remote control room. The system can control simultaneously six reclaimers. And it has been successfully implanted to the reclaimer in the stockyards of Majishan of Bao Steel Co. and show satisfactory result.
In an unmanned yard, some parameters of the system would change due to equipments wear and deformed. These changes resulted in the 3D reconstruction parameters changing. The inaccuracy of the 3D reconstruction parameters decreases the system operating efficiency and result in the waste of resources and energy. In this paper, a rapid laser parameter calibration algorithm was discussed, the experiment result in a real unmanned yard show this method is feasible.
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