Roadside information fusion method and system

Abstract

The invention discloses a roadside information fusion method and system. The method comprises the steps that a machine vision sensor obtains a drive test image in a preset range; The ultrasonic sensorcontinuously sends and receives ultrasonic signals and converts the ultrasonic signals into ultrasonic sensor data; Sending the drive test image and the ultrasonic sensor data to a server through a wireless communication module; Pre-processing the drive test image and de-noising the data of the ultrasonic sensor; Obtaining a projection point of an effective target on the pixel plane of the drivetest image according to the de-noised ultrasonic sensor data; And establishing a region of interest around the projection point, and completing the spatial fusion of ultrasonic sensor data and machinevision information. According to the method, data of the ultrasonic sensor can be projected to a plane of an image pixel, a region of interest is established around a projection point, spatial fusionof the data of the ultrasonic sensor and machine vision information is completed, and accurate identification and detection of drive test information are achieved.

Description

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

AI Technical Summary

Benefits of technology

The invention improves how well an object's identification occurs by combining different types of data together through sound wave technology or image processing techniques like X-ray scans. This results in improved detection accuracies over previous methods that only focused on detecting specific features within them.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the speed at which large amounts (either onboard or offshore) are processed over time while also optimizing computer resources usage within an internet of things device's own memory space.

Images