Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-camera complex scene adaptive vehicle collision warning device and warning method

A multi-camera, complex scene technology, applied in the field of automotive electronics and active safety

Active Publication Date: 2021-01-12
HEFEI UNIV
View PDF14 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a multi-camera complex scene adaptive vehicle collision early warning device and early warning method, which are used to solve the problem of full coverage of the vehicle's far, middle and near detection range and complex scene self-adaptation, thereby improving vehicle detection accuracy and detection accuracy. distance accuracy

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
  • Multi-camera complex scene adaptive vehicle collision warning device and warning method
  • Multi-camera complex scene adaptive vehicle collision warning device and warning method
  • Multi-camera complex scene adaptive vehicle collision warning device and warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Such as figure 1 with figure 2 As shown, this embodiment provides a multi-camera complex scene adaptive vehicle collision warning device, including a multi-camera perception module, a data processing and calculation module, and a collision alarm module. The multi-camera perception module is connected to the data processing and calculation module to detect The image information of the road ahead and obstacles received is transmitted to the data processing and computing module; the multi-camera perception module includes the first camera, the second camera and the third camera whose focal lengths are successively reduced, and the first camera, the second camera and the third camera Both are fixed-focus cameras; the data processing and calculation module is used to perform vehicle detection, tracking, and front-to-back distance calculation on the image information according to the set built-in collision warning method. The collision warning information is generated and s...

Embodiment 2

[0068] Such as figure 1 with figure 2 As shown, the present embodiment provides an early warning method for the multi-camera complex scene adaptive vehicle collision early warning device, including the following steps:

[0069] (1) The multi-camera perception module transmits the detected image information of the road ahead and obstacles to the encoding module;

[0070] (2) The encoding module encodes the image information sent by the multi-camera perception module, converts it into a unified data format, and sends it to the camera image acquisition module in the processing module;

[0071] (3) The camera image acquisition module collects the multi-camera image information sent by the encoding module, performs image preprocessing, including filtering, noise reduction and image format conversion, and converts the original RGB format image sent by the multi-camera perception module into a grayscale format.

[0072] (4) The driving scene perception module receives the current ...

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 multi-camera complex scene self-adaptive vehicle collision early-warning device and method. The multi-camera complex scene self-adaptive vehicle collision early-warning deviceis characterized in that a multi-camera sensing module includes three fixed focus cameras whose focal lengths are sequentially reduced, and the multi-camera sensing module transmits the detected front image information to a data processing and calculation module; the data processing and calculation module performs vehicle detection, vehicle tracking, and front and rear distance calculation on theimage information according to a set built-in collision warning method, and generates collision early-warning information; and a collision warning module receives the collision early-warning information, and generates warning information to a driver for warning prompt. As the three fixed focus cameras of the multi-camera complex scene self-adaptive vehicle collision early-warning device cover thewide detection range, and also avoid the problems of high cost and large size caused by using a zoom camera. The multi-camera complex scene self-adaptive vehicle collision early-warning method performs scene classification on classifiers to enable the cascade classifiers to be small in volume, high in detection efficiency, and more highlighted in vehicle features in the corresponding scene, so that the complex scene adaptive ability of the system is high.

Description

technical field [0001] The invention belongs to the technical field of automotive electronics and active safety, and in particular relates to a multi-camera complex scene adaptive vehicle collision early warning device and early warning method. Background technique [0002] With the rapid development of the economy and the rapid growth of car ownership, more and more attention has been paid to the safety of cars. In order to improve the driving safety of automobiles and reduce the occurrence of traffic accidents, various automobile active safety technologies and systems are applied more and more in automobiles, among which vehicle collision warning devices have attracted much attention. The vehicle collision warning device uses advanced sensor technology to sense the driving state information, judge and analyze the dangerous state, and give an alarm to the potential collision risk, which can effectively improve the driving safety of the vehicle. Camera images have become th...

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 Patents(China)
IPC IPC(8): B60Q9/00G06K9/00G06K9/62
Inventor 朱茂飞林建飞杜鹏高磊訾春元林雅敏
Owner HEFEI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products