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公开(公告)号:US20230283073A1
公开(公告)日:2023-09-07
申请号:US18108716
申请日:2023-02-13
Inventor: Chuanxin BIAN , Yue SUN , Ye ZHANG
Abstract: A load prediction method includes determining for a current prediction time point of a prediction day, a similar days of a prediction day from historical days before the prediction day; acquiring an air temperature difference between an air temperature at the time point of the prediction day and an air temperature at the time point of the similar day; determining a difference of loads at the time point of the prediction day and the similar day according to the air temperature difference; and determining a predicted load value at the time point of the prediction day according to a load value at the time point of the similar day and the load difference.
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公开(公告)号:US20240221215A1
公开(公告)日:2024-07-04
申请号:US18605423
申请日:2024-03-14
Inventor: Yuzhe HE , Shuang LIANG , Xiaofei RUI , Chengying CAI , Guowei WAN , Ye ZHANG
CPC classification number: G06T7/75 , G06V10/7715 , G06V10/80 , G06T2207/10028 , G06T2207/20221
Abstract: A method is provided that includes: obtaining an initial pose of a vehicle, a multi-modal sensor data of the vehicle, and a plurality of map elements for positioning the vehicle; encoding the multi-modal sensor data to obtain an environmental feature; encoding the plurality of map elements to obtain a map feature; determining, based on the environmental feature and the map feature, a target pose offset for correcting the initial pose; and superimposing the initial pose and the target pose offset to obtain a corrected pose of the vehicle.
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公开(公告)号:US20250013551A1
公开(公告)日:2025-01-09
申请号:US18890749
申请日:2024-09-19
Inventor: Chengcheng WU , Ye ZHANG , Baoju LIU , Zeyu WANG
IPC: G06F11/34
Abstract: The present disclosure provides a method and apparatus for evaluating a model service, an electronic device, and a storage medium, relates to the technical field of edge computers, in particular to the technical fields of intelligent Internet of Things, edge intelligent devices, or the like. A specific implementation solution is as follows: receiving an evaluation sample set from cloud, the evaluation sample set including a to-be-evaluated model and a dataset corresponding to the to-be-evaluated model and containing labelling information; performing model inference on the to-be-evaluated model based on data in the dataset, to obtain an inference result corresponding to the to-be-evaluated model; and calculating a performance evaluation metrics based on the labelling information in the dataset and the inference result, to obtain an evaluation result corresponding to the to-be-evaluated model.
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