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

Method and system for identifying obstacles

An obstacle identification and obstacle technology, which is applied in the field of obstacle identification methods and systems, can solve the problems of being unable to resist real-time jitter, unable to detect the ground normally, etc., to achieve good environmental perception, improve obstacle avoidance strategies, and enhance the degree of intelligence Effect

Active Publication Date: 2022-05-17
HANGZHOU GUANGPO INTELLIGENT TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The patent application number is 201510891318, which is based on the Kinect sensor depth map of the robot's working environment uncertainty map construction method. It adopts the technical solution of pre-stored ground for ground detection. When encountering slopes, etc., the ground cannot be detected normally

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
  • Method and system for identifying obstacles
  • Method and system for identifying obstacles
  • Method and system for identifying obstacles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be described in detail below in conjunction with the specific embodiments shown in the accompanying drawings, but these embodiments do not limit the present invention, those of ordinary skill in the art make structural, method, or functional changes based on these embodiments All are included in the scope of protection of the present invention.

[0051] Such as figure 1 In one embodiment of the present invention shown, the present invention provides a method for identifying obstacles, the method comprising:

[0052] S1. Acquiring the first depth image of the surrounding environment in the driving route;

[0053] S2. Perform cutting processing on the first depth image to obtain a second depth image corresponding to the driving lane;

[0054] S3. Perform ground fitting based on the second depth image, determine a ground straight line, and remove the ground part according to the ground straight line, and obtain a third depth image without the g...

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 an obstacle identification method, the method comprising: acquiring a first depth image of the surrounding environment in a driving route; performing cutting processing on the first depth image to obtain a second depth image corresponding to the driving lane; based on Perform ground fitting on the second depth image, determine the ground straight line, and remove the ground part according to the ground straight line to obtain a third depth image without the ground part; perform cluster analysis on the third depth image to obtain multiple Obstacle cluster point set, and determine the position information of each obstacle. Correspondingly, the invention also discloses an obstacle recognition system. Through the present invention, obstacles can be monitored in real time, and obstacles can be better avoided.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an obstacle recognition method and system. Background technique [0002] With the development of science and technology, robots or express unmanned vehicles are more and more widely used. Obstacle recognition and avoidance has become an important embodiment of robot intelligence. With the continuous development of various robots, the requirements for obstacle avoidance are also increasing. The real environment is often complex and changes in real time. It is necessary to be able to accurately identify obstacles and obtain the distance between them and the robot. The patent application number is 201510891318, which is based on the Kinect sensor depth map and the uncertainty map construction method of the robot's working environment. It adopts the technical solution of pre-stored ground for ground detection. When encountering slopes, etc., the ground cannot be detected no...

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): G06V20/58G06V10/762G06K9/62G06T5/00G06T7/11G06T7/136G06T7/50
CPCG06T7/11G06T7/136G06T7/50G06T2207/20028G06V20/58G06F18/23G06T5/70
Inventor 黄泽仕余小欢门阳陈嵩白云峰
Owner HANGZHOU GUANGPO INTELLIGENT TECH CO 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