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

Obstacle detection method and device and storage medium

An obstacle detection and obstacle technology, applied in the field of obstacle detection, can solve the problem of low application deployment efficiency, achieve the effect of improving application deployment efficiency and avoiding the training of deep learning models

Active Publication Date: 2020-08-28
知行汽车科技(苏州)股份有限公司
View PDF9 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides an obstacle detection method, device and storage medium, which can solve the problem of low application deployment efficiency

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
  • Obstacle detection method and device and storage medium
  • Obstacle detection method and device and storage medium
  • Obstacle detection method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The specific implementation manners of the present application will be further described in detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0047] figure 1 is a schematic structural diagram of an obstacle detection device 100 provided by an embodiment of the present application, as shown in figure 1 As shown, the device at least includes: a control component 110 and a laser detection component 120 communicatively connected with the control component 110 .

[0048] The laser detection component 120 is installed on a mobile carrier. A mobile carrier refers to a carrier that moves on a moving plane at a certain speed. Optionally, the mobile carrier may be a vehicle or a cleaning robot, and this embodiment does not limit the implementation of the mobile carrier.

[0049] Optionally, the laser detection component 120 may be a lase...

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 relates to an obstacle detection method and device and a storage medium, and belongs to the technical field of computers. The method comprises the steps: obtaining point cloud data collected by a laser detection module in a process that a moving carrier moves on a moving plane; wherein the point cloud data comprises three-dimensional coordinates of sampling points and reflection signal intensity; projecting the sampling points to a two-dimensional plane according to the three-dimensional coordinates by taking a height direction perpendicular to the moving plane as a projection direction to obtain a bird's-eye view; determining pixel information of each pixel point in the aerial view according to the point cloud data, wherein the pixel information of each pixel point comprisesa first pixel value, a second pixel value and a third pixel value; detecting obstacles in the collection range according to pixel information in the aerial view; the problem of low application deployment efficiency can be solved; by processing the point cloud data with huge data volume into the two-dimensional image data, a large amount of point cloud data does not need to be collected to train adeep learning model, and the application deployment efficiency is improved.

Description

technical field [0001] The present application relates to an obstacle detection method, device and storage medium, belonging to the field of computer technology. Background technique [0002] With the rapid development of automatic driving technology, during the process of automatic driving, the automatic driving system needs to obtain the information of surrounding obstacles in order to achieve the purpose of driving safely on the road. [0003] The existing obstacle detection method obtains the point cloud information of the surrounding environment through laser radar scanning ranging, and extracts the key points and features of the point cloud through calculation to obtain training samples; through BP neural network, SVM and other machine learning or deep learning Methods A model for identifying obstacles was built, and the types of obstacles around the vehicle were identified through the model. [0004] However, machine learning or deep learning models need to consume a...

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
IPC IPC(8): G06K9/00G01S17/931G01S17/89
CPCG01S17/931G01S17/89G06V20/58
Inventor 王泽荔顾晨益王文爽陈伟
Owner 知行汽车科技(苏州)股份有限公司
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