Distance measurement method and device based on deep learning, equipment and storage medium

A technology of deep learning and ranging method, which is applied in the field of deep learning and can solve cumbersome problems

Active Publication Date: 2019-06-07
深圳市未来感知科技有限公司
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Problems solved by technology

[0003] The main purpose of the present invention is to provide a distance measurement method, device, equipment and storage medium base...

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  • Distance measurement method and device based on deep learning, equipment and storage medium
  • Distance measurement method and device based on deep learning, equipment and storage medium
  • Distance measurement method and device based on deep learning, equipment and storage medium

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Embodiment Construction

[0065] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0066] The present invention provides a distance measurement method based on deep learning. In the first embodiment of the distance measurement method based on deep learning in the present invention, refer to figure 1 , the ranging method based on deep learning includes:

[0067] Step S10, when receiving the range-finding images to be identified respectively captured by each observation point for the same observation object, associating the range-finding images to be identified to obtain a set of target-associated range-finding images;

[0068] Step S20, input the set of target-associated ranging images into a preset deep learning network model to determine the target position of the observed object, wherein the preset deep learning network model is a trained A model for determining the position of an observed object...

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Abstract

The invention discloses a distance measurement method and device based on deep learning, equipment and a storage medium, and the method comprises the steps: enabling all to-be-recognized distance measurement images to be correlated when all to-be-recognized distance measurement images captured by all observation points for the same observation object are received, and obtaining a target correlateddistance measurement image set; inputting the target associated distance measurement image set into a preset deep learning network model to determine the target position of the observation object, the preset deep learning network model being a trained model for determining the position of the observation object based on the associated distance measurement image set; and outputting the target position of the observation object. The technical problem that in the prior art, distance measurement can be conducted only through a tedious calibration process is solved.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a ranging method, device, equipment and storage medium based on deep learning. Background technique [0002] At present, many occasions that need to be detected, such as vehicle inspection, etc., use optical measurement to locate the position and attitude of the object to be tracked. In the process of using optical measurement to locate the position and attitude of the object to be tracked, the main principle is to use multiple cameras , according to the positional relationship between the cameras, the positional relationship between the camera and the ranging markers is used to measure the distance by triangulation and other methods. However, due to the positional relationship between the cameras, the positional relationship between the camera and the ranging markers, etc. are often A cumbersome calibration process is required, which reduces the ranging efficiency....

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/292G06T7/70G06T7/73G06N3/04
Inventor 陈小明张小龙刘志愿
Owner 深圳市未来感知科技有限公司
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