公开(公告)号：US12140441B2

公开(公告)日：2024-11-12

申请号：US17531529

申请日：2021-11-19

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Weijia Zhang ,  Hao Liu ,  Dejing Dou ,  Hui Xiong

IPC: G01C21/34 ,  G06N20/00 ,  G06Q30/0601 ,  H04L67/12

Abstract: A method for recommending a station for a vehicle, a device, and a storage medium are provided. The method comprises: receiving, by a server, an access request from a vehicle; obtaining, based on the access request, a plurality of observation values from a plurality of stations associated with the vehicle, respectively, each observation value is based on a corresponding pre-trained recommendation model, each observation value includes factors associated with access of the vehicle to the station corresponding to the observation value; determining, an action value for the station based on the observation value and the pre-trained recommendation model for the station, the action value for the station indicates a matching degree between the access request and the station; determining a recommended station among the plurality of stations based on the action values of the plurality of stations; and sending to the vehicle an instruction of driving to the recommended station.

公开(公告)号：US12195019B2

公开(公告)日：2025-01-14

申请号：US18003017

申请日：2022-11-28

Applicant: Apollo Autonomous Driving USA LLC ,  Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Shu Jiang ,  Hao Liu ,  Szu-Hao Wu ,  Fuyang Zhao ,  Xiaoyi Zhu ,  Haofeng Kou ,  Helen K. Pan

IPC: B60W60/00 ,  B60W50/04 ,  B60W50/00

Abstract: In one embodiment, a microcontroller unit (MCU) receives an expected state of an autonomous driving vehicle (ADV) from a controller of the ADV, where the controller controls motions of the ADV using a control algorithm. The MCU receives sensor data from one or more sensors of the ADV. The MCU determine an actual state of the ADV based on the sensor data. The MCU determines a performance metric of the control algorithm based on the expected state and the actual state. In response to determining the performance metric has satisfied a predetermined condition, the MCU determines a plurality of weight values for the control algorithm. The MCU sends the plurality of weight values to the control system to tune one or more weight parameters of the control algorithm using the plurality of weight values, where the controller controls the ADV using the tuned control algorithm.

公开(公告)号：US20230127699A1

公开(公告)日：2023-04-27

申请号：US18088872

申请日：2022-12-27

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Ji Liu ,  Sunjie Yu ,  Weijia Zhang ,  Hao Liu ,  Hengshu Zhu ,  Dejing Dou ,  Hui Xiong

IPC: G06N20/00 ,  G06Q50/16

Abstract: A method of training a model, a method of determining an asset valuation, a device, a storage medium, and a program product, which relate to a field of artificial intelligence, in particular to fields of deep learning and natural language understanding. A specific implementation can include: determining an event-level representation according to a first set of feature data; performing a multi-task learning for a first model according to the event-level representation, to obtain first price distribution data, and transmitting the first price distribution data to a central server; determining a first intra-region representation according to a second set of feature data; adding a noise signal to the first intra-region representation, and transmitting the noised intra-region representation to a client; and adjusting a parameter of the first model according to a noised parameter gradient in response to the noised parameter gradient being received from the central server.

公开(公告)号：US20220327809A1

公开(公告)日：2022-10-13

申请号：US17809133

申请日：2022-06-27

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Wei Li ,  Can Gao ,  Guocheng Niu ,  Xinyan Xiao ,  Hao Liu ,  Jiachen Liu ,  Hua Wu ,  Haifeng Wang

IPC: G06V10/778 ,  G06V10/774 ,  G06V10/26 ,  G06F40/284

Abstract: A method for training a model based on multi-modal data joint learning, includes: obtaining multi-modal data; in which the multi-modal data include at least one type of single-modal data and at least one type of Pair multi-modal data; inputting the single-modal data and the Pair multi-modal data into a decoupling attention Transformer network model to generate respectively Token semantic representation features and cross-modal semantic representation features; and training the decoupling attention Transformer network model based on the Token semantic representation features and the cross-modal semantic representation features.

公开(公告)号：US20220414689A1

公开(公告)日：2022-12-29

申请号：US17900649

申请日：2022-08-31

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Qi Zhang ,  Hengshu Zhu ,  Peng Wang ,  Hao Liu ,  Hui Xiong

IPC: G06Q30/02 ,  G06N5/02

Abstract: A method and an apparatus for training a path representation model are provided. The method may include: acquiring at least one trajectory point of at least one user, where each trajectory point of each user includes a place passed by the user, a start time and a duration; inputting the at least one trajectory point of the at least one user into a pre-trained model to obtain a trajectory representation of each user; obtaining, for each user, a position of each trajectory point from the trajectory representation of the user by searching according to the start time and the duration of each trajectory point of the user; and adjusting a network parameter of the pre-trained model according to a difference between the place passed by each user and the position of each trajectory point obtained by searching, to obtain a path representation model.