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公开(公告)号:US20230065341A1
公开(公告)日:2023-03-02
申请号:US17658518
申请日:2022-04-08
Inventor: Meng Li , Hui Zhao , Deguo Xia , Bing Jiang
IPC: G01C21/00
Abstract: The present disclosure provides a method and an apparatus for monitoring road data, an electronic device and a storage medium, and relates to the field of intelligent transportation. A specific implementation solution involves: acquiring a feature expression of a road; predicting, according to the feature expression of the road and a pre-trained change prediction model, a probability that road data of the road will change; and collecting the road data of the road based on the probability that the road data will change.
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公开(公告)号:US11859998B2
公开(公告)日:2024-01-02
申请号:US17207542
申请日:2021-03-19
Inventor: Deguo Xia , Liuhui Zhang , Jizhou Huang , Hui Zhao , Zhen Lu , Hongxia Bai , Yuting Liu
IPC: G01C21/00 , G06F16/23 , G06F16/29 , G06N3/04 , G06N3/08 , G08G1/09 , G06V20/54 , G06F18/214 , G06F18/21
CPC classification number: G01C21/3893 , G01C21/3815 , G01C21/3837 , G06F16/2379 , G06F16/29 , G06N3/04 , G06N3/08 , G08G1/093 , G06F18/214 , G06F18/217 , G06V20/54
Abstract: The present application discloses a map data updating method, an apparatus, a device and a readable storage medium. The specific implementation solution is: after receiving road information reported by an electronic device, a server obtains multiple sequences according to the road information, and each road information belonging to the same sequence has the same type and location. After that, the server inputs each road information contained in the sequences to a pre-trained neural network model, so that the neural network model outputs a recognition result according to the sequences. The server updates map data according to the recognition result. With such solution, valid road information is recognized by combining context of each road information in the sequences and the neural network technology, and the map data is updated, which achieves the purpose of accurately updating the map data.
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公开(公告)号:US11887376B2
公开(公告)日:2024-01-30
申请号:US17517702
申请日:2021-11-03
Inventor: Jizhou Huang , Hui Zhao , Deguo Xia , Haifeng Wang
IPC: G06V30/00 , G06V20/56 , G06V20/40 , G06V10/40 , G06V30/262 , G06V20/10 , B60R16/023 , G06F18/24 , G06F18/214
CPC classification number: G06V20/56 , B60R16/0231 , G06F18/214 , G06F18/24 , G06V10/40 , G06V20/176 , G06V20/41 , G06V20/46 , G06V30/274
Abstract: The present disclosure provides a method and apparatus of estimating a road condition, and a method and apparatus of establishing a road condition estimation model, which relates to a field of big data and intelligent traffic. The method includes: acquiring, for a first preset duration before a first moment, a sequence of user tracks for a road and a sequence of road images for the road; extracting a track-related feature of the road from the sequence of the user tracks, and extracting an image-related feature of the road from the sequence of the road images; and inputting the track-related feature of the road and the image-related feature of the road into a pre-trained road condition estimation model, so as to determine, for a second preset duration after the first moment, a road condition information of the road by using an estimated result of the road condition estimation model.
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