A tracking method and device for unmanned engineering operation equipment based on fusion of vision and attitude
A kind of operation equipment and unmanned technology, which is applied in attitude control, three-dimensional position/channel control, vehicle position/route/altitude control, etc. It can solve problems such as unstable satellite signal reception, failure of rolling operations, and signal fluctuations. Achieve the effects of avoiding unreliable tracking control, reducing hardware costs, and reducing equipment costs
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Embodiment 1
[0059] An unmanned engineering operation equipment based on visual and posture fusion, the specific steps are as follows:
[0060] (1) Image input acquisition, using the image acquisition unit to collect engineering operation equipment, after the image, complete and clearly display the rolling strip strip in the rolling area;
[0061] The image acquisition unit is arranged at least one set before and after, for example, an industrial camera, such as an industrial camera, such as an image acquisition unit, and the acquisition device stably installed on the engineering operation equipment vehicle body, which is suitable for the front and rear positions of the vehicle body. Since the motion of the engineering operation equipment will cause vibration, the installation of image acquisition equipment needs to be considered, which can be shocked by shock-resistant hard spring buffers or setting shockproof rubber gaskets. Adjust the acquisition angle of the image acquisition device before...
Embodiment 2
[0099] An unmanned engineering operation device sub-use, further, combined with the posture sensor data information, a severity of the tracking strip imaging in the detection process of engineering operation equipment The situation of the field of view is corrected, and the specific steps are:
[0100] (1) Image input acquisition.
[0101] (2) Camera parameter calibration and image distortion correction.
[0102] (3) Creating a binary image based on the color space and edge feature.
[0103] (4) Apply a perspective change to correct the binary image.
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