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Pavement cleanliness evaluation method for intelligent road sweeping

A cleanliness, road technology, applied in the field of artificial intelligence, to achieve the effect of high practical value, good accuracy, and verification effectiveness

Active Publication Date: 2020-11-24
上海富洁科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] In order to solve the problem of effective perception of dense small garbage, the present invention proposes a road surface cleanliness evaluation method based on road intelligent cleaning

Method used

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  • Pavement cleanliness evaluation method for intelligent road sweeping
  • Pavement cleanliness evaluation method for intelligent road sweeping
  • Pavement cleanliness evaluation method for intelligent road sweeping

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Embodiment 1

[0058] Image segmentation

[0059] Image segmentation technology is one of the important research directions in the field of computer vision and an important part of image semantic understanding. Technologies related to this technology, such as scene object segmentation, human front and background segmentation, face and body parsing, and 3D reconstruction, have been widely used in unmanned driving, augmented reality, security monitoring and other industries.

[0060] Image segmentation refers to dividing an image into several disjoint regions based on features such as gray scale, color, spatial texture, geometric shape, etc., so that these features show consistency or similarity in the same region, but appear in different regions. obvious difference. Image segmentation is suitable for scenes with high understanding requirements, such as the segmentation of roads and non-roads in driverless driving. Traditional image segmentation methods include threshold-based segmentation m...

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Abstract

The invention discloses a road surface cleanliness evaluation method for intelligent road sweeping. The method comprises the following steps: extracting a road surface area through a Yolact road surface segmentation network, obtaining the positioning and category of large garbage through a Yolov3 target detection network, and obtaining the density distribution of small garbage through an MCNN density estimation network; and finally, carrying out weighted summation on all the garbage to obtain the cleanliness index of the pavement. According to the invention, transfer learning and image enhancement algorithms are adopted, so that a training model obtains better performance. By exploring the field and combining image segmentation, target detection and density estimation algorithms, estimation of the pavement cleanliness is successfully realized.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a road surface cleanliness evaluation method for road intelligent cleaning. Background technique [0002] Computer vision technology is a technology that enables computers to simulate the visual process of humans, and has the ability to perceive the environment and human visual functions. The synthesis of technologies such as image processing, artificial intelligence and pattern recognition. [0003] Computer vision started from statistical pattern recognition in the 1950s, when work focused on two-dimensional image analysis and recognition, such as optical character recognition, analysis and interpretation of workpiece surfaces, microscopic pictures and aerial pictures, etc.60 In the 1990s, Roberts (1965) extracted three-dimensional structures of polyhedrons such as cubes, wedges, and prisms from digital images through computer programs, and described the shape and spatia...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G06N3/04G06N3/08G06T7/70
CPCG06T7/70G06N3/08G06T2207/20081G06T2207/20084G06V20/00G06V10/454G06V10/267G06V2201/07G06N3/048G06N3/045G06F18/214G06F18/24
Inventor 赵健成顾昕程杨致饶徐江高传宝
Owner 上海富洁科技有限公司