Bulk cargo yard stacker-reclaimer positioning method based on point cloud data processing technology and system for realizing same
A point cloud data and grocery store technology, applied in the field of image data processing, can solve the problems of laser displacement sensor not working properly, target position deviation of laser displacement sensor, unsatisfactory robustness and positioning accuracy, etc., to avoid defects Influence, overcome measurement or calculation error, and objective effect of positioning results
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[0047] Such as figure 2 The breakbulk yard shown is located at 39°55'48.4"N and 119°41'22.4"E. There are multiple mobile stackers and reclaimers in the cargo yard. The stacker reclaimer cannot be positioned intuitively due to terrain, cargo stacking and equipment movement. The image after artificially marking the stacker-reclaimer is as follows image 3 shown.
[0048] Install the laser radar on the air-based load platform, and then set it above the bulk cargo yard, use the laser radar to detect the area where the bulk cargo yard is located, and obtain the position information of the ground and ground objects in the area where the bulk cargo yard is located, and use xyz three-dimensional The data is recorded, and the obtained xyz three-dimensional data constitutes the point cloud data of the bulk cargo yard, such as Figure 4 shown.
[0049] use computer to Figure 4 To mesh: the Figure 4 The point cloud data of is mapped to the xy plane, and a series of square grids ...
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