Road green belt trimming task automatic generation method based on neural network and CIM
A neural network and green belt technology, applied in botanical equipment and methods, details involving image stitching, image data processing, etc., can solve problems such as affecting the city appearance, high labor intensity for observers, inaccurate information, etc. Inaccuracy and omission, reducing the breeding of pests, the effect of strong generalization ability
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[0025] Construct the CIM (city information model) of the road area, that is, based on the city information data, establish an organic synthesis of the three-dimensional urban space model and urban information; the CIM of the road area mainly includes the perception information of the camera and the corresponding geographical location information and information about the current environment.
[0026] The acquisition of RGB images of green belts is realized through multiple cameras beside the road. The image acquisition range of all cameras must cover the total area of urban road green belts, and the images collected by two adjacent cameras must overlap within a certain range, which is convenient Subsequent image stitching operations.
[0027] Each camera collects continuous multi-frame images of the area where it is located. It should be noted that the resolution, refresh rate, etc. of all cameras use the same settings.
[0028] The projection transformation operation is pe...
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