Vehicle motion parameter estimation method based on incomplete information measurement

A technology of motion parameters and information volume, which can be used in measuring devices, surveying and navigation, navigation through speed/acceleration measurement, etc., and can solve problems such as incomplete acquisition of measurement information

Active Publication Date: 2019-10-08
NANJING INST OF TECH
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to achieve accurate acquisition and reliable estimation of target vehicle motion parameters, the method proposed by the present invention establishes multiple Kalman filters for different typical working conditions o

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 motion parameter estimation method based on incomplete information measurement
  • Vehicle motion parameter estimation method based on incomplete information measurement
  • Vehicle motion parameter estimation method based on incomplete information measurement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] The present invention will be further described below. The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0076] The present invention provides a vehicle motion parameter estimation method based on incomplete information measurement. The specific steps include:

[0077] 1. Establish a model of typical vehicle motion conditions

[0078] Working condition 1: The relative speed of the front and rear cars is kept at a constant speed, and the model is established as a constant motion model;

[0079] Working condition 2: The front and rear cars travel at relatively uniform acceleration, and the model is established as a uniform acceleration movement model;

[0080] Working condition 3: The front and rear cars travel at a relatively uniform deceleration, and the model is established as a uniform deceleration movement model;

[0081] Since the thr...

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 motion parameter estimation method based on incomplete information measurement. Different Kalman filtering system state models are established according to the relative movement condition of a vehicle; a global positioning system, vehicle communication information and millimeter wave radar information are taken as observed quantities, a video tracking system is combined, possible process interference and measurement data interference in the practical environment is considered in the operation process, and an interactive multi-model algorithm is used to obtainrelated parameters including speed and acceleration of vehicles in the same lane; and vehicle-mounted video tracking is combined to locate a vehicle target in the same lane under the condition that avideo image is interfered much. The method of the invention has the advantages of high positioning precision, reliability and adaptability.

Description

Technical field [0001] The invention discloses a vehicle motion parameter estimation method based on incomplete information measurement, and belongs to the technical field of vehicle tracking and monitoring. Background technique [0002] With the development of society and economy, the number of vehicles has grown rapidly, and the problem of road traffic safety has become increasingly prominent, which has become a global problem. Traffic accidents all over the world cause a large number of casualties and property losses every year. Vehicle accident statistics show that car rear-end collisions are the largest in road traffic and one of the most dangerous accidents during vehicle operation. 91% of rear-end collisions are caused by If the driver is not concentrating, if the driver is reminded 0.5s in advance, the rear-end collision avoidance rate can reach 90%. The main threat faced by drivers is mainly other vehicles on the road. The purpose of car assisted driving is to alert 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
IPC IPC(8): G01C21/16G01C25/00
CPCG01C21/165G01C25/005G01C25/00
Inventor 陈素娟
Owner NANJING INST OF TECH
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