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1.发明申请公开(公告)号：US20210232986A1
公开(公告)日：2021-07-29
申请号：US17021831
申请日：2020-09-15
Inventor： Hao LIU , Weijia Zhang , Hui Xiong
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed, each junction therein representing a parking lot, and connecting any two parking lots meeting a predetermined condition through edges; as for any parking lot i, performing the following processing respectively: determining local space correlation information of the parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are in the parking lot association graph and connected to the parking lot i through edges; determining time correlation information of the parking lot i at the current time according to the local space correlation information, and predicting free parking space information of the parking lot i at at least one future time step according to the time correlation information of the parking lot i at the current time. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.
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2.发明申请公开(公告)号：US20210232588A1
公开(公告)日：2021-07-29
申请号：US17021979
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
IPC: G06F16/2457 , G08G1/065 , G06F16/29 , G06N3/08
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed, each junction therein representing a parking lot, and connecting any two parking lots meeting a predetermined condition through edges; as for any parking lot i, determining local space correlation information of parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are connected to the parking lot i through edges; determining global space correlation information of the parking lot i at the current time according to a built soft allocation matrix; determining time correlation information of the parking lot i at the current time according to the local space correlation information and global space correlation information, and predicting free parking space information of the parking lot i at at least one future time step according to the time correlation information. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.
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3.发明授权公开(公告)号：US11574259B2
公开(公告)日：2023-02-07
申请号：US17021831
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed; as for any parking lot i, performing the following processing respectively: determining local space correlation information of the parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are in the parking lot association graph and connected to the parking lot i through edges; determining time correlation information of the parking lot i at the current time according to the local space correlation information, and predicting free parking space information of the parking lot i at at least one future time step according to the time correlation information of the parking lot i at the current time.
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4.发明授权公开(公告)号：US11593384B2
公开(公告)日：2023-02-28
申请号：US17021979
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
IPC: G06F16/00 , G06F16/2457 , G06F16/29 , G06N3/08 , G08G1/065
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed; aggregating environment context features of neighboring parking lots according to weights of edges between the neighboring parking lots and a parking lot i to obtain a representation vector of the parking lot i at a current time; and pre-training a graph attention neural network model using the environment context features of the neighboring parking lots and free parking space information, and a gated recurrent neural model according to the representation vector of the parking lot it at the current time.
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