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

Target scene positioning method, device, computer equipment and storage medium

A target scene and marker technology, which is applied in computing, measuring devices, image data processing, etc., can solve problems such as unstable target scene positioning, and achieve the effect of fast target scene positioning

Active Publication Date: 2020-07-28
CHANGSHA INTELLIGENT DRIVING INST CORP LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in cities, GPS signals are more likely to be interfered by multipath effects, which can easily lead to unstable target scene positioning

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
  • Target scene positioning method, device, computer equipment and storage medium
  • Target scene positioning method, device, computer equipment and storage medium
  • Target scene positioning method, device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0031] The target scene positioning method provided by this application can be applied to such as figure 1 shown in the application environment. The application environment includes an intelligent driving device 100 configured with a laser radar 101 , a camera 102 , a radar sensor 103 and a vehicle controller 104 . Wherein, the laser radar 101 , the camera 102 , and the radar sensor 103 are respectively connected to the controller 104 . The laser radar 101 collects a three-dimensional map of the device environment, and the camera 102 collects images around the device in ...

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 present application relates to a target scene positioning method, device, computer equipment and storage medium. This method uses the single-frame real-time point cloud data collected by the laser radar in real time during the driving process of the device, and uses the external characteristics of the markers in the target scene to extract the marker point cloud in the single-frame real-time point cloud data, and uses the marker point cloud. The centroid point constructs a polygon, searches for congruent polygons with multiple flat sides in the high-precision map with the centroid point in advance, determines the matching point, and realizes positioning based on the matching point. Since the relative positional relationship of objects in the target scene remains unchanged, the polygon obtained by searching the high-precision map based on real-time point cloud data processing collected during driving matches its congruent planar polygon. Target scene positioning can be quickly realized.

Description

technical field [0001] The present application relates to the technical field of self-driving cars, and in particular to a target scene positioning method, device, computer equipment and storage medium. Background technique [0002] Self-driving cars rely on artificial intelligence, visual computing, radar, monitoring devices and positioning systems to work together, allowing computers to automatically and safely operate motor vehicles without any active human operation. [0003] Autonomous driving needs to locate the target scene of the vehicle in real time and determine the position of the vehicle. For example, locate the current scene of the vehicle to give driving instructions correctly. One target scene localization is road intersection localization. At present, automatic driving mostly uses lane keeping technology to realize real-time monitoring of the vehicle's position during the driving process, but this technology cannot be used at intersections without lane line...

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): G01S17/06G01S17/89G01S7/48G01C21/30G06T7/73
CPCG01C21/30G01S7/4802G01S17/06G01S17/89G06T2207/10028G06T2207/10044G06T7/73
Inventor 汪献义高梁李大林
Owner CHANGSHA INTELLIGENT DRIVING INST CORP LTD
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