Title:
MAP GENERATION METHOD, MODEL TRAINING METHOD, READABLE MEDIUM, AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/216251
Kind Code:
A1
Abstract:
Disclosed in the present application are a map generation method, a model training method, a readable medium, and an electronic device. During a process of generating a vector map by using a neural network model, by means of learning geometric features of a map element in a sample image of a target area, a contour mask of the map element is converted into a vector map, which is not realized by means of setting a vectorization rule by technicians, thus improving the precision of the obtained vector map. In addition, by using the method provided by the present application, for different target areas, after retraining the neural network model by using sample images of the different target areas, the retrained neural network can be utilized to obtain vector maps of the different areas, without the need of performing complex parameter adjustment and vectorization rule setting, thus improving the vector map generation efficiency while ensuring the precision, and the method being more suitable for a scenario of generating a large-scale map.
Inventors:
WANG LEI (CN)
HUANG JINGWEI (CN)
HE JIANAN (CN)
LIU JIZHE (CN)
HUANG JINGWEI (CN)
HE JIANAN (CN)
LIU JIZHE (CN)
Application Number:
PCT/CN2022/092810
Publication Date:
November 16, 2023
Filing Date:
May 13, 2022
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G06F16/56; G06F16/29
Domestic Patent References:
| WO2021087985A1 | 2021-05-14 | |||
| WO2022000469A1 | 2022-01-06 |
Foreign References:
| CN110517334A | 2019-11-29 | |||
| CN110457512A | 2019-11-15 | |||
| CN110991452A | 2020-04-10 | |||
| CN112066997A | 2020-12-11 |
Attorney, Agent or Firm:
YINKE PATENT & TRADEMARK AGENT (SHANGHAI) LTD. (CN)
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