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

Method for estimating and classifying motion states of front object based on vehicle-mounted millimeter wave radar

A millimeter-wave radar, front object technology, applied in the field of radar, can solve the problem that the motion state of the front object cannot be directly used in the driving assistance system, etc.

Active Publication Date: 2015-05-20
广西睛智汽车技术有限公司
View PDF5 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the direct measurement of relative distance and relative speed is based on the vehicle-mounted millimeter-wave radar coordinate system, and the directly measured motion state of the front object cannot be directly used in the driving assistance system, so it is necessary to accurately estimate the motion state of the front object in real time

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
  • Method for estimating and classifying motion states of front object based on vehicle-mounted millimeter wave radar
  • Method for estimating and classifying motion states of front object based on vehicle-mounted millimeter wave radar
  • Method for estimating and classifying motion states of front object based on vehicle-mounted millimeter wave radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In this application, the classification of the front objects is not based on their inherent attributes, but directly divided into several categories based on their motion states. The available motion state of the front object includes side longitudinal distance, side longitudinal speed, side longitudinal acceleration, azimuth angle and so on. Considering the calculation speed of the control system and possible measurement errors, this application selects the longitudinal velocity of the object in front and sets the corresponding velocity threshold for classification. At the same time, strict conditions for the transition of the motion state of the object in front are formulated to ensure the accuracy of the classification.

[0053] In the following, the specific implementation manners of the present invention will be further described in detail in conjunction with the accompanying drawings of the embodiments, so as to make the technical solution of the present invention...

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 method for estimating and classifying motion states of a front object based on a vehicle-mounted millimeter wave radar. The method is characterized by comprising the following steps of on the basis of the lateral speed information of the limited motion of the front object which is directly measured by the vehicle-mounted millimeter wave radar, establishing a motion equation of the front object under a ground coordinate system, utilizing a self-adaptive Kalman filter estimation algorithm, and accurately estimating the motion state of the front object in real time; according to the motion information of the front object, classifying according to the specified motion state division speed threshold value and the motion state conversion rule. By adopting the technical scheme, the method has the advantages that compared with the prior art, the estimation accuracy of the motion state is greatly improved, the strict front object motion state conversion condition is specified, and the classification accuracy is guaranteed.

Description

technical field [0001] The application of the present invention belongs to the technical field of radar, relates to the estimation and classification of the motion state of the front object, and can be used in an advanced driver assistance system. Background technique [0002] In recent years, the Advanced Driver Assistance System (ADAS) has become a research hotspot in automotive safety technology. At present, it mainly includes adaptive cruise control system, lane departure warning system, forward collision avoidance warning system, etc. Advanced driver assistance systems and advanced information sensing technologies such as radar and computer vision are used as the basis to improve the driver's driving comfort and vehicle driving safety. [0003] Millimeter wave radar is widely used in driver assistance systems to measure vehicles, obstacles and other targets in the medium and long distance ahead. For continuous-wave millimeter-wave radar, the principle of speed measure...

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): G01S13/93
CPCG01S13/93G01S13/931
Inventor 郭健范达于泳
Owner 广西睛智汽车技术有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com