Vehicle parking distance measurement method and device based on deep learning, and electronic equipment

A deep learning and vehicle technology, applied in image data processing, instruments, biological neural network models, etc., can solve problems such as the inability to measure the exact distance between the vehicle and the white line, and the inability of the road tester to detect correctly, so as to improve efficiency and accuracy The effect of low rate and error

Inactive Publication Date: 2021-06-25
车轮互联科技(上海)股份有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a vehicle parking distance measurement method and device based on deep learning to solve the problem that

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vehicle parking distance measurement method and device based on deep learning, and electronic equipment
  • Vehicle parking distance measurement method and device based on deep learning, and electronic equipment
  • Vehicle parking distance measurement method and device based on deep learning, and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0066] In order to better understand the present invention, the technical solutions in the embodiments of the present invention will be described in connection with the drawings in the embodiments of the present invention, and the embodiments described herein will be clearly understood. It is an embodiment of the invention, not all of the embodiments. Based on the embodiments in the present invention, those of ordinary skill in the art will belong to the scope of the invention in the present invention without making in the pre-creative labor premise.

[0067] It should be noted that the specification and claims of the present invention and the terms "first", "second", "second" or the like are used to distinguish a similar object without having to describe a particular order or ahead order. It is to be understood that the data such as use can be interchanged in appropriate, so as to described herein. Moreover, the terms "including" and "having" and any variations are intended to co...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a vehicle parking distance measurement method and device based on deep learning and electronic equipment, and the method comprises the steps: determining a camera distortion coefficient, and determining a homography transformation matrix based on an installed camera according to the image coordinates and actual physical coordinates of all identification points in a preset marker; when the vehicle is in a side parking state, acquiring an image acquired by the camera, detecting a white line of a roadside in the acquired image by adopting a semantic segmentation algorithm based on deep learning, and outputting a binary image; removing lens distortion in the binary image based on the distortion coefficient and a distortion removing algorithm, and obtaining a distortion-removed image; and performing back projection transformation through a homography transformation matrix to obtain an image with uniform resolution, and measuring the distance between the vehicle and the roadside white line. According to the invention, the position of the roadside white line can be accurately detected in different scenes, the detection accuracy of the position of the white line and the actual application scene are improved, lens distortion in camera imaging is removed, and the distance between the vehicle and the white line is accurately measured.

Description

technical field [0001] The invention relates to the fields of computer vision and advanced driving assistance, in particular to a method, device and electronic equipment for vehicle parking distance measurement based on deep learning. Background technique [0002] In the third test of the driving test subject, the side parking module of the road test instrument measures the distance between the vehicle and the white line on the roadside by taking pictures with the camera installed on the vehicle, so as to judge whether the student has reached the distance between the vehicle and the roadside required by the test. The white line is within the range of 30cm to 50cm. [0003] However, most of the existing road test instrument products use traditional image processing methods, such as threshold segmentation, Hough transform and other simple methods to detect white lines from images. These simple methods cannot cope with the complex and changeable lighting, weather and road condi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/70G06T7/80G06T7/13G06T5/00G06N3/04
CPCG06T7/70G06T7/80G06T7/13G06T5/006G06T2207/30256G06N3/045
Inventor 侯剑侠黄涛吴峰
Owner 车轮互联科技(上海)股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products