Millimeter wave radar and video monitoring camera combined calibration method

A millimeter-wave radar and joint calibration technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of difficult construction and installation, short working life, small monitoring range, etc., and achieve the effect of improving reliability and accuracy

Inactive Publication Date: 2021-06-22
WUHAN UNIV
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, traffic behavior detection methods are mainly based on video trajectory extraction methods, which are easily affected by weather conditions, lighting changes, dynamic background scenes and other environments.
Similarly, the geomagnetic and geosensing coils also have serious defects: difficult construction and installation, easy to lose electricity, easy to be rolled over by heavy vehicles, short working life (1-3 years), difficult and costly to maintain later, small monitoring range, etc.

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
  • Millimeter wave radar and video monitoring camera combined calibration method
  • Millimeter wave radar and video monitoring camera combined calibration method
  • Millimeter wave radar and video monitoring camera combined calibration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0042] Combine below Figure 1 to Figure 5 The specific embodiment of the present invention is introduced.

[0043] The main idea of ​​millimeter-wave radar and video sensor fusion is hypothesis testing, which is divided into two steps: hypothesis generation and hypothesis verification. Hypothesis generation: After the millimeter-wave radar data processing module detects the effective target and its lateral longitudinal relative distance and other position positioning information, it will determine the position of the image area containing the effective targ...

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 provides a millimeter wave radar and video monitoring camera combined calibration method. According to the invention, the video detection technology is utilized to accurately identify the types of traffic participants, and the millimeter wave radar detection technology is combined to monitor the target in the positioning range in real time, so that the two technologies complement each other. A multi-sensor fusion model is utilized to establish an accurate coordinate transformation matrix among a radar coordinate system, a video sensor coordinate system, an image coordinate system and a pixel coordinate system, and spatial fusion of multi-sensor data is realized.

Description

technical field [0001] The invention belongs to the field of traffic road condition supervision, and in particular relates to a joint calibration method of a millimeter-wave radar and a video monitoring camera. Background technique [0002] Traffic road condition supervision mainly obtains traffic flow data through video sensors, geomagnetic sensors, etc., and then conducts traffic behavior detection and provides traffic management decision support, so as to achieve the purpose of traffic control. At present, the traffic behavior detection method is mainly based on the video trajectory extraction method, which is easily affected by the environment such as weather conditions, illumination changes, and dynamic background scenes. Similarly, the geomagnetic and geosensing coils also have serious defects: difficult construction and installation, easy to lose electricity, easy to be rolled over by heavy vehicles, short working life (1-3 years), difficult and costly to maintain lat...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/80G06T5/00G01S13/42G01S13/86G01S13/91
CPCG06T7/80G06T5/006G01S13/42G01S13/867G01S13/91G06T2207/10044G06T2207/20104
Inventor 颜思睿陈江伟黄玉春孟小亮谢烁红王力行
Owner WUHAN UNIV
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