Unlock instant, AI-driven research and patent intelligence for your innovation.

Object recognition model training method and vehicle-mounted device

A technology for identifying models and vehicle-mounted devices, applied in the field of object detection, which can solve problems such as low data density, high data density, missed detection or false detection

Pending Publication Date: 2021-06-29
MOBILE DRIVE NETHERLANDS BV
View PDF19 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in this division method, since the lidar emits in a radial manner, the following problems will be encountered: the data density closer to the origin of the lidar is higher, while the data density farther away from the origin of the lidar is lower. Low, it is easy to miss detection or false detection in some areas

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
  • Object recognition model training method and vehicle-mounted device
  • Object recognition model training method and vehicle-mounted device
  • Object recognition model training method and vehicle-mounted device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0047] Many specific details are set forth in the following description to facilitate a full understanding of the present invention, and the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood b...

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 an object recognition model training method, which is characterized in that when an object recognition model is verified, whether the object recognition model correctly recognizes each object or not is determined by calculating an overlapping degree, a distance and an angle deviation value associated with each object. Objects can be accurately recognized through the object recognition model obtained through training of the method. The invention further provides a vehicle-mounted device for implementing the object recognition model training method.

Description

technical field [0001] The invention relates to the technical field of object detection, in particular to an object recognition model training method and a vehicle-mounted device. Background technique [0002] With the development of self-driving technology, Lidar is used as a sensor for object detection. In existing object detection methods, the point cloud data detected by lidar is divided by XY coordinates. However, in this division method, since the lidar emits in a radial manner, the following problems will be encountered: the data density closer to the origin of the lidar is higher, while the data density farther away from the origin of the lidar is lower. Low, it is easy to miss detection or false detection in some areas. Contents of the invention [0003] In view of the above, it is necessary to propose an object recognition model training method and a vehicle-mounted device, which can effectively improve the accuracy of object detection. [0004] The first aspe...

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): G06K9/00G06K9/62G06N3/04G06N3/08G06V10/774G06V10/776
CPCG06N3/08G06V20/56G06N3/045G06F18/214G01S7/4808G06V10/776G06V10/774G06T7/73G06N3/04G06T2207/20084G01S17/931G01S17/04G06T2207/10028G06T2207/30252G06T2207/20081G01S17/89G06F18/217
Inventor 王凯群徐宏民黄子魁钟庭颢许乃晟王于青黄俊翔
Owner MOBILE DRIVE NETHERLANDS BV