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Parameter stereo matching method and system based on binocular camera

A technology of three-dimensional parameters and matching methods, applied in neural learning methods, image data processing, image enhancement, etc., can solve problems such as slow calculation speed and poor accuracy, and achieve the effect of solving poor accuracy and improving robustness

Active Publication Date: 2022-03-08
BEIJING SMARTER EYE TECH CO LTD
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Problems solved by technology

[0004] To this end, the embodiment of the present application provides a binocular camera-based parameter stereo matching method and system to at least partially solve the technical problems of poor accuracy and slow calculation speed of existing parameter matching algorithms for automatic driving

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  • Parameter stereo matching method and system based on binocular camera
  • Parameter stereo matching method and system based on binocular camera
  • Parameter stereo matching method and system based on binocular camera

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Embodiment Construction

[0038] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] In view of the poor accuracy and slow calculation speed of the existing parameter matching methods, the present invention designs and replaces the two parts of Preprocess (image preprocessing feature extraction) + Cost Compute (cost calculation) and SGM (cost aggregation), which can be learned. Make the matching algorithm more robust so as to provide a better data basis for subsequent auto...

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Abstract

The invention discloses a parameter stereo matching method and system based on a binocular camera. The method comprises the following steps: acquiring a left image and a right image in a target detection area; based on the weight parameters, performing feature extraction on the left and right images through a multi-level network structure to obtain left and right feature maps with multiple feature dimensions; and performing matching cost aggregation on the left and right feature maps based on a supervised learning strategy to obtain an aggregated cost value. The technical problems that an existing parameter matching algorithm for automatic driving is poor in accuracy and low in calculation speed are solved.

Description

technical field [0001] The embodiment of the present application relates to the technical field of automatic driving, and in particular to a parametric stereo matching method and system based on a binocular camera. Background technique [0002] With people's increasing demand for safer and more convenient travel, intelligent driving technology is in a period of vigorous development. The ability to perceive and understand the environment is the basis and premise of automotive intelligent systems. Intelligent vehicles collect views through binocular cameras, and make analysis after sensing the surrounding environment, and provide information to the control system to realize the detection of driving conditions. [0003] In data analysis, parameter matching is required, and the performance of parameter matching directly affects the accuracy and efficiency of automatic driving information recognition. The traditional parameter matching algorithm includes local algorithm and glob...

Claims

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Application Information

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IPC IPC(8): G06T7/80G06N3/04G06N3/08
CPCG06T7/85G06N3/084G06T2207/20081G06T2207/20084G06T2207/30244G06N3/045
Inventor 杨超
Owner BEIJING SMARTER EYE TECH CO LTD
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