Vehicle classification trajectory error correction method based on map matching

A technology of map matching and error correction method, applied in the field of satellite navigation, can solve problems such as the complexity of map matching in the whole area, and achieve the effect of improving stability and accuracy and high practicability

Active Publication Date: 2021-10-15
XIAN UNIV OF TECH
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a vehicle classification track error correction method based on map matching, which solves the limitations of the prior art for specific track types and the complexity of map matching in the whole area

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 classification trajectory error correction method based on map matching
  • Vehicle classification trajectory error correction method based on map matching
  • Vehicle classification trajectory error correction method based on map matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067]The present invention will be described in detail below in combination with specific embodiments.

[0068] A kind of vehicle classification track error correction method based on map matching of the present invention, comprises the following steps:

[0069] Step 1. Vehicle trajectory preprocessing

[0070] Step 1.1, acquire trajectory data, and clean the trajectory data;

[0071] Step 1.1 is specifically:

[0072] Obtain the corresponding trajectory sequence, and judge whether there are trajectory points with the same trajectory coordinate information in the trajectory sequence. If so, obtain repeated trajectory points, further determine whether the speed or direction of these repeated trajectory points is 0, and set the speed or direction to 0 The trajectory data of the data is regarded as invalid data and cleaned, and the valid trajectory data in the repeated trajectory points is retained.

[0073] Step 1.2, according to the trajectory data obtained after processing...

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 classification trajectory error correction method based on map matching. The method comprises the following steps: 1, preprocessing a vehicle trajectory; 2, dividing different track types according to track anomalies in a specific scene; 3, according to the road information obtained in the step 2 and the track sequence which is successfully identified, performing classification track error correction processing by using a specific track error correction method. According to the method, the problems of limitation of specific track types and complexity of whole-area map matching in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of satellite navigation, and in particular relates to an error correction method for vehicle classification tracks based on map matching. Background technique [0002] Car travel has become the main means of transportation for our country's national travel, and with the rapid development of mobile Internet and the wide application of GPS navigation, the application of vehicle trajectory has become inseparable from people's travel. Existing vehicle trajectory applications cannot effectively correct trajectory errors in specific scenarios such as tunnels and roundabouts, and lack trajectory accuracy for special types of road trajectory types. However, special types of trajectories are difficult to correct using conventional trajectory processing methods, and need to be processed in combination with map matching algorithms. [0003] The existing map matching algorithms are point-to-point, point-to-curve, curve...

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): G06F16/29G06F16/215G06K9/62G01C21/34
CPCG06F16/29G06F16/215G01C21/34G06F18/22Y02T10/40
Inventor 宁小娟卢晨韩怡王映辉
Owner XIAN UNIV 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap