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

Vehicle real-time image tracking method based on GPS trajectory data

A trajectory data and real-time image technology, applied in the field of vehicle tracking, can solve problems such as lack of automated tools

Active Publication Date: 2019-05-10
CETHIK GRP
View PDF9 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] With the development of unmanned vehicles, the testing of unmanned vehicles has gradually developed, but most of the existing vehicle testing systems are manual testing, lacking automated tools

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 real-time image tracking method based on GPS trajectory data
  • Vehicle real-time image tracking method based on GPS trajectory data
  • Vehicle real-time image tracking method based on GPS trajectory data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. The following embodiments do not constitute a limitation to the present invention.

[0050] This embodiment provides a real-time image tracking method for vehicles based on GPS trajectory data, which is used to implement real-time image tracking of designated vehicles through images of monitoring points. This method does not require the purchase and installation of cumbersome tracking equipment and can be well controlled. cost.

[0051] Such as figure 1 As shown, the real-time image tracking method for vehicles based on GPS trajectory data includes:

[0052] Step S1. Obtain GPS trajectory data collected in the last t seconds (for example, 10 seconds) during the driving of the vehicle, arrange the GPS trajectory data in chronological order, and store the longitude and latitude in the GPS trajectory data in the sequence after ar...

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 real-time image tracking method based on GPS trajectory data, comprising the following steps: estimating positions of vehicles at a future time point by using historical GPS trajectory data, pre-selecting monitoring points where vehicles may possibly be captured according to the estimated position information to narrow the scope of investigation and prepare for capture in advance so as to enhance the capture effect, detecting the images of the monitoring points by a deep convolutional neural network model with high real-time, filtering the vehicle-free monitoring points, and storing the images taken by the monitoring points with vehicles is, thereby realizing the no-delay tracking of images.

Description

Technical field [0001] The invention relates to the technical field of vehicle tracking, in particular to a real-time image tracking method of a vehicle based on GPS track data. Background technique [0002] An unmanned car is a smart car that senses the road environment through the on-board sensor system, automatically plans the driving route and controls the vehicle to reach a predetermined goal. It uses on-board sensors to perceive the surrounding environment of the vehicle, and controls the steering and speed of the vehicle based on the road, vehicle location, and obstacle information obtained by the perception, so that the vehicle can safely and reliably drive on the road. [0003] With the development of unmanned vehicles, the testing of unmanned vehicles has gradually developed. However, most of the existing vehicle test systems are manual operation tests and lack automated tools. [0004] The testing of unmanned vehicles is an important link that affects the development of u...

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): G05D1/02
Inventor 朱锋高波高思斌赵福林陈泽汪大卫何成东胡芳芳朱诗慧
Owner CETHIK GRP
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