Point cloud data screening method and device

A point cloud data and screening method technology, applied in the computer field, can solve problems such as low accuracy rate and missed detection, and achieve the effect of improving the screening accuracy rate

Pending Publication Date: 2021-01-01
SHANGHAI SENSETIME LINGANG INTELLIGENT TECH CO LTD
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if the moving speed of the object is slow in this method, missed detection may occur, and the accuracy rate is low.

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
  • Point cloud data screening method and device
  • Point cloud data screening method and device
  • Point cloud data screening method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. The components of the disclosed embodiments generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those ski...

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 provides a point cloud data screening method and device. The point cloud data screening method comprises the steps of: acquiring to-be-identified point cloud data which is obtained through the scanning a first region by using a radar device disposed on a vehicle; and determining point cloud data corresponding to a static object in the to-be-identified point cloud data according to the attribute information of each map grid, wherein each map grid is obtained by dividing the first region, and the attribute information of each map grid is determined according to the parameter information of the vehicle and positioning data collected by a positioning device deployed on the vehicle in the driving process of the vehicle in the first region, the attribute information of the map gridcomprises state information of the map grid, and the state information comprises a passable state and a non-passable state.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular, to a point cloud data screening method and device. Background technique [0002] During the driving process of the self-driving vehicle, the point cloud data collected at the current moment will be matched with the pre-built point cloud map to realize the positioning of the self-driving vehicle. If there are too many point cloud data of dynamic objects in the point cloud map, or too many dynamic objects in the point cloud data collected by the self-driving vehicle, the matching accuracy will be affected when matching the point cloud data of the self-driving vehicle with the point cloud map , which in turn affects the positioning accuracy of the autonomous vehicle. [0003] In related technologies, in order to eliminate the point cloud data of dynamic objects in point cloud data and obtain point cloud data corresponding to static objects only, point cloud data at differe...

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): G06T17/05G06T7/00G06T7/11G06T7/73G06N3/04G06N3/08
CPCG06T17/05G06T7/0002G06T7/11G06T7/73G06N3/08G06T2207/10028G06T2207/20081G06T2207/20084G06T2207/30244G06N3/045
Inventor 赵明刘余钱
Owner SHANGHAI SENSETIME LINGANG INTELLIGENT TECH CO LTD
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