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公开(公告)号：US20240246575A1
公开(公告)日：2024-07-25
申请号：US18606329
申请日：2024-03-15
Inventor： Jizhou HUANG , Fan WANG
CPC classification number: B60W60/0027 , B60W50/0097 , G06N3/08 , B60W2556/10
Abstract: An autonomous driving method implemented by using an automatic driving model is provided. The autonomous driving model comprises a multimodal encoding layer and a decision control layer. The autonomous driving method includes: obtaining first input information of the multimodal encoding layer; inputting the first input information into the multimodal encoding layer to obtain an implicit representation corresponding to the first input information output by the multimodal encoding layer; and inputting second input information including the implicit representation into the decision control layer to obtain target autonomous driving strategy information output by the decision control layer.
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公开(公告)号：US20240185379A1
公开(公告)日：2024-06-06
申请号：US17758692
申请日：2021-11-17
Inventor： Deguo XIA , Jizhou HUANG , Haifeng WANG
Abstract: A method and an apparatus for generation a high definition map, a device and a computer storage medium, which relate to automatic driving and deep learning technologies in the field of artificial intelligence technologies, are disclosed. An implementation includes: acquiring point cloud data and front-view image data which are collected respectively by a plurality of collecting devices at a plurality of location points to obtain a sequence of point clouds and a sequence of front-view images; performing registration of the front-view images and the point clouds on the sequence of point clouds and the sequence of front-view images; transforming the sequence of front-view images into a top-view image based on the result of the registration and determining coordinate information of each pixel in the top-view image; and identifying map elements of the top-view image to obtain the high definition map.
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公开(公告)号：US20230041943A1
公开(公告)日：2023-02-09
申请号：US17961930
申请日：2022-10-07
Inventor： Deguo XIA , Jizhou HUANG , Haifeng WANG
IPC: G01C21/00
Abstract: The present disclosure provides a method and apparatus for automatically producing map data. The method includes: performing track rectification on crowdsourcing tracks based on corresponding standard tracks, and locating each map element included, based on depth information of track point images included in the rectified crowdsourcing tracks; comparing a latest map element obtained based on the rectified crowdsourcing tracks locating and an old map element at a corresponding locating position using a pre-built entity semantic map; determining, in response to a change in the latest map element compared to the old map element, a target processing method according to a processing standard of a changed map element pre-abstracted from a map element update specification; and processing the latest map element according to the target processing method to obtain a processed latest map.
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4.发明申请公开(公告)号：US20220327147A1
公开(公告)日：2022-10-13
申请号：US17844975
申请日：2022-06-21
Inventor： Yingchao SHI , Jizhou HUANG
IPC: G06F16/29
Abstract: There is provided a method for updating information of a point of interest, an electronic device and a storage medium, relating to the field of artificial intelligence, in particular to the field of information intelligent search, and being applicable to a scene for identifying a specified type of text content. The method includes identifying a user focus information to be approved for a target point of interest from at least one user-generated content; constructing an approval request information for approving the user focus information; pushing the approval request information to an operator of the target point of interest and obtaining an approval result information for the user focus information from the operator; and updating an attribute information of the target point of interest according to the approval result information.
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公开(公告)号：US20220058403A1
公开(公告)日：2022-02-24
申请号：US17517702
申请日：2021-11-03
Inventor： Jizhou HUANG , Hui ZHAO , Deguo XIA , Haifeng WANG
IPC: G06K9/00 , G06K9/72 , G06K9/46 , G06K9/62 , B60R16/023
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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Patent Agency Ranking
公开(公告)号：US20250139369A1
公开(公告)日：2025-05-01
申请号：US18956107
申请日：2024-11-22
Inventor： Jingbo ZHOU , Congxi XIAO , Yixiong XIAO , Jizhou HUANG
IPC: G06F40/284 , G06N20/00
Abstract: A method is provided that includes: obtaining first urban data of a first sample urban region; inputting the first urban data into a multi-modal foundation model to obtain respective predicted vector representations of a plurality of first data segments; obtaining a plurality of general-purpose foundation models that are pre-trained; for each general-purpose foundation model: generating a vector representation label of a first data segment of a corresponding data modality by using the general-purpose foundation model; and determining a knowledge distillation loss of the general-purpose foundation model based on the vector representation label and a predicted vector representation of the first data segment; and adjusting parameters of the multi-modal foundation model based on at least respective knowledge distillation losses of the plurality of general-purpose foundation models.
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公开(公告)号：US20240169462A1
公开(公告)日：2024-05-23
申请号：US17758687
申请日：2021-11-17
Inventor： Hao ZHANG , Jingbo ZHOU , Jizhou HUANG
IPC: G06Q50/47 , G06Q30/0283 , G06Q30/0601
CPC classification number: G06Q50/47 , G06Q30/0284 , G06Q30/0635
Abstract: An online ride-hailing information processing method and apparatus, a device, and a computer storage medium, relating to big data computing and deep learning technologies in the field of AI technologies, are disclosed. A specific solution involves: acquiring an online ride-hailing query condition including information of an origin and a destination sent by a client; determining a query time range according to the query condition; calculating cost information of arrival at the destination departing at a plurality of times in the query time range respectively; determining, according to the cost information of arrival at the destination departing at the plurality of times, a time meeting the query condition as a recommended departure time; determining a recommended order-sending time according to the recommended departure time; and returning a query result to the client, the query result including the recommended order-sending time, or further including cost information corresponding to the recommended order-sending time. According to the present disclosure, users can select a low-cost order-sending time, which improves user experience, saves network resources, and reduces the influence on system performance.
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公开(公告)号：US20230243661A1
公开(公告)日：2023-08-03
申请号：US17999917
申请日：2022-04-28
Inventor： Jizhou HUANG , Kejiao LI , Bo ZHOU , Fan WANG , Jingzhou HE , Haifeng WANG
CPC classification number: G01C21/3461 , G01C21/3492 , G08G1/0108
Abstract: Provided are a navigation path planning method and apparatus, a device, and a storage medium. The navigation path planning method includes planning at least two available navigation paths for each target user of at least two target users in a target region; and determining a global passing feature of the target region and selecting, according to the global passing feature of the target region, one available navigation path from the at least two available navigation paths corresponding to each target user to serve as a recommended navigation path to be recommended to each target user.
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公开(公告)号：US20230196793A1
公开(公告)日：2023-06-22
申请号：US18173643
申请日：2023-02-23
Inventor： Deguo XIA , Jizhou HUANG , Jianzhong YANG , Yanlei GU , Zhen LU , Tingting CAO , Qiuyang XU , Xipeng ZONG
CPC classification number: G06V20/588 , G06T7/10 , G01C21/3815 , G06T2207/30256
Abstract: A method for processing a map, an electronic device, and a storage medium, which relate to a technical field of computer technology, in particular to computer vision technology and high-definition map technology. The method includes: segmenting a first road line to obtain a plurality of first sub-road lines, wherein the first road line is obtained according to a segmentation mask for an image, and the image corresponds to a target region; segmenting a second road line to obtain a plurality of second sub-road lines, wherein the second road line is obtained according to a trajectory information corresponding to the target region; and determining a target road line according to first similarities between the plurality of first sub-road lines and the plurality of second sub-road lines.
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10.发明公开公开(公告)号：US20230159052A1
公开(公告)日：2023-05-25
申请号：US18151718
申请日：2023-01-09
Inventor： Jianzhong YANG , Deguo XIA , Jizhou HUANG , Haifeng WANG
CPC classification number: B60W60/001 , B60W40/06 , B60W2520/00 , B60W2552/00 , B60W2556/10
Abstract: A method for processing behavior data, a method for controlling an autonomous vehicle, apparatuses thereof, a device, a storage medium, a computer program product, and an autonomous vehicle are provided. The method includes: acquiring historical driving data, the historical driving data comprising lane-level navigation data; and performing data mining on the historical driving data to obtain driving feature information, the driving feature information comprising at least one of: a lane-change position feature, a traveling speed feature, or a traveling path feature.
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