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Identification method for unmanned driving, electronic device, storage medium and system

A technology of unmanned driving and recognition method, which is applied in the field of motion recognition, and can solve problems such as the inability to accurately identify the motion state of pedestrians

Inactive Publication Date: 2018-01-09
大圣科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide a recognition method for unmanned driving, which can solve the problem that current unmanned vehicles cannot accurately identify the motion state of pedestrians
[0005] The second purpose of the present invention is to provide an electronic device, which can solve the problem that current driverless cars cannot accurately identify the motion state of pedestrians
[0006] The third object of the present invention is to provide a computer-readable storage medium, which can solve the problem that current driverless cars cannot accurately identify the motion state of pedestrians

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  • Identification method for unmanned driving, electronic device, storage medium and system
  • Identification method for unmanned driving, electronic device, storage medium and system
  • Identification method for unmanned driving, electronic device, storage medium and system

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Embodiment Construction

[0038] Below, the present invention will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form new embodiments. :

[0039] like figure 1 As shown, the identification method for unmanned driving of the present application includes the following steps:

[0040] Step S10: Acquire the image data on the road surface. The image acquisition device (camera) in the driverless car collects the image data on the road in front of and around the driverless car, and the anti-shake module collects the images on the road surface collected by the camera. Data is acquired. The image data includes pedestrian image data, vehicle image data and other obstacle image data.

[0041] Step S20: Perform background motion removal processing on the image data to obtain the image data to be r...

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Abstract

The invention discloses an identification method for unmanned driving, comprising the steps of obtaining the image data on the road; removing background movement from the image data, and obtaining theimage data to be identified; conducting identification and positioning on the image data to be identified, obtaining the processed image data having the image of key object; extracting the key objectimage from the processed image data, obtaining the key object image data; calculating the movement state of the key object based on the key object image data. The invention is advantageous in that the image data on the road is collected, and background movement is removed from the image data, and identification and positioning are conducted, and the processed image data having the key object image is obtained; the key object image is extracted from the processed image data, obtaining the key object image data, and the movement state of the key object can be calculated based on the key objectimage data.

Description

technical field [0001] The invention relates to the field of motion recognition, in particular to a recognition method, electronic equipment, storage medium and system for unmanned driving. Background technique [0002] At present, unmanned vehicles have become the new darling of the automotive industry, and the research on unmanned vehicles is also increasing year by year. The recognition technology of pedestrians or objects on the road is the core technology of driverless cars. At present, the sensor used by driverless cars is a camera. The camera is mainly responsible for collecting road condition information for use by the back-end algorithm. The back-end algorithm uses the RGB information collected by the camera for vehicle recognition, lane line recognition, traffic sign recognition and many other complex tasks. algorithm. Among the many recognition algorithms, it is very important to judge the movement of pedestrians and vehicles on the road through the information ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 郭继舜
Owner 大圣科技股份有限公司