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Perception decision model upgrading method and system based on automatic driving

A decision-making model and automatic driving technology, applied in character and pattern recognition, registration/instruction of vehicle operation, instruments, etc., to achieve the effect of improving reliability

Pending Publication Date: 2022-02-22
ZHEJIANG GEELY HLDG GRP CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a method and system for upgrading the perception decision-making model based on automatic driving, aiming to solve the technical problem of how to improve the reliability of mass-produced vehicle functions and algorithms

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  • Perception decision model upgrading method and system based on automatic driving
  • Perception decision model upgrading method and system based on automatic driving
  • Perception decision model upgrading method and system based on automatic driving

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Embodiment Construction

[0056] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0057] An embodiment of the present invention provides a method for upgrading a perception decision model based on automatic driving, referring to figure 1 , figure 1 It is a schematic flowchart of the first embodiment of the automatic driving-based perception decision model upgrading method of the present invention.

[0058] In this embodiment, the method for upgrading the perception decision model based on automatic driving includes the following steps:

[0059] Step S10: Obtain the road scene information to be tested.

[0060] It is easy to understand that the execution subject of this embodiment may be an automatic driving-based perception decision-making model upgrade device with functions such as image processing, data processing, network communication, and program operation, wherein the automatic driving-base...

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Abstract

The invention discloses a perception decision model upgrading method and system based on automatic driving. The method comprises the following steps of: acquiring to-be-tested road scene information; performing failure analysis on the to-be-tested road scene information based on a preset perception decision model to obtain vehicle perception decision information; determining perception decision failure data according to the vehicle perception decision information; and upgrading the preset perception decision model according to the perception decision failure data. Compared with the prior art in which model training needs to be performed on different mass-produced vehicle types in a targeted manner, the method has the advantages that through closed-loop design of the data of an automatic driving system, model upgrading can be performed on the preset perception decision model according to the perception decision failure data corresponding to the vehicle perception decision information, and therefore, the reliability of functions and algorithms of mass-produced vehicle types is improved.

Description

technical field [0001] The invention relates to the field of vehicle technology, in particular to a method and system for upgrading a perception decision model based on automatic driving. Background technique [0002] With the development of artificial intelligence technology, automobile electrification and intelligent technology will also lead to new changes. L3 and above automatic driving functions have higher requirements for vehicle intelligence and functional backup. At present, major OEMs and new car manufacturers have invested a lot of resources in the verification of algorithms and functions. Nevertheless, for different new mass-produced models, the mass-produced autonomous driving model training still requires frequent investment in R&D and testing resources. [0003] The above content is only used to assist in understanding the technical solution of the present invention, and does not mean that the above content is admitted as prior art. Contents of the inventio...

Claims

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Application Information

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IPC IPC(8): G06V20/58G06V10/774G06K9/62G07C5/08
CPCG07C5/0808G06F18/214
Inventor 李国庆邓文武宋升弘卢红喜金晨周俊杰衡阳
Owner ZHEJIANG GEELY HLDG GRP CO LTD
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