Title:
METHOD FOR TRAINING TARGET MAP MODEL, POSITIONING METHOD, AND RELATED APPARATUSES
Document Type and Number:
WIPO Patent Application WO/2023/065731
Kind Code:
A1
Abstract:
The present disclosure relates to the technical field of artificial intelligence, such as deep learning, natural language understanding and intelligent search. Provided are a method and apparatus for training a target map model, a positioning method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product. The method for training a target map model comprises: acquiring a text expression, a coordinate vector expression and a signboard image expression of each map location point; performing training according to a first training sample composed of the text expression and the coordinate vector expression that correspond to the same map location point, so as to obtain a first sub-model; performing training according to a second training sample composed of the text expression and the signboard image expression that correspond to the same map location point, so as to obtain a second sub-model; and fusing the first sub-model and the second sub-model, so as to obtain a target map model. A target map model that is obtained by means of training using the method can better combine the current location of a user with an image that is captured for positioning, so as to obtain a more accurate positioning result.
Inventors:
HUANG JIZHOU (CN)
WANG HAIFENG (CN)
ZHUO AN (CN)
SUN YIBO (CN)
WANG HAIFENG (CN)
ZHUO AN (CN)
SUN YIBO (CN)
Application Number:
PCT/CN2022/104939
Publication Date:
April 27, 2023
Filing Date:
July 11, 2022
Export Citation:
Assignee:
BEIJING BAIDU NETCOM SCI & TECH CO LTD (CN)
International Classes:
G06K9/62
Foreign References:
| CN113947147A | 2022-01-18 | |||
| CN112633380A | 2021-04-09 | |||
| CN111737383A | 2020-10-02 | |||
| CN111461203A | 2020-07-28 | |||
| US20170004374A1 | 2017-01-05 |
Attorney, Agent or Firm:
INSIGHT INTELLECTUAL PROPERTY LIMITED (CN)
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