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公开(公告)号：US20240062654A1
公开(公告)日：2024-02-22
申请号：US17753817
申请日：2021-11-17
Inventor： Jizhou Huang , Deguo Xia , Haifeng Wang
IPC: G08G1/0968 , G08G1/01 , G08G1/0967 , G08G1/052
CPC classification number: G08G1/0968 , G08G1/0145 , G08G1/0112 , G08G1/096725 , G08G1/052
Abstract: The present disclosure discloses a vehicle control method and apparatus, a device and a computer storage medium, and relates to the technical fields of autonomous driving and intelligent transportation. A specific implementation solution involves: determining vehicles in a preset geo-fencing region; determining a vehicle weight of each said vehicles according to a vehicle type and a waiting duration of each said vehicles; estimating, according to the vehicle weights of the vehicles in each of lanes in the geo-fencing region and positions of the vehicles in each said lanes, a duration to be waited in each said lanes; and generating a control instruction for each said vehicles according to the respective durations to be waited in each said lanes and the respective positions of the vehicles in each said lanes, the control instruction including a state instruction and/or a target speed instruction. According to the present disclosure, global scheduling decisions can be performed on vehicles in a geo-fencing region, so as to alleviate traffic congestion.
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2.发明授权公开(公告)号：US12277146B2
公开(公告)日：2025-04-15
申请号：US17844975
申请日：2022-06-21
Inventor： Yingchao Shi , Jizhou Huang
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：US12266074B2
公开(公告)日：2025-04-01
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：US12196572B2
公开(公告)日：2025-01-14
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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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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Patent Agency Ranking
公开(公告)号：US20230368523A1
公开(公告)日：2023-11-16
申请号：US18152119
申请日：2023-01-09
Inventor： Xiaoqing Ye , Deguo Xia , Jizhou Huang , Haifeng Wang
CPC classification number: G06V20/182 , G06V10/7715 , G06V20/13 , G06V10/25 , G01C21/3852 , G01C21/3819 , G06V10/42
Abstract: Provided are a road network extraction method, a device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the fields of image processing, computer vision, and the like and are specifically applicable to scenarios such as intelligent transportation and a smart city. A specific implementation scheme includes: extracting a first road network of a target region according to user trajectories of the target region; extracting a second road network of the target region according to a satellite aerial image of the target region; and extract a target road network of the target region according to the first road network, the second road network, and the user trajectories. Efficient and accurate road network extraction can be achieved through techniques in embodiments of the present disclosure.
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公开(公告)号：US20230058949A1
公开(公告)日：2023-02-23
申请号：US17657114
申请日：2022-03-29
Inventor： Jizhou Huang , Shaolei Wang , Haifeng Wang
IPC: G10L13/047 , G10L15/22 , G10L15/06
Abstract: The present disclosure discloses an intelligent voice interaction method and apparatus, a device and a computer storage medium, and relates to voice, big data and deep learning technologies in the field of artificial intelligence technologies. A specific implementation solution involves: acquiring first conversational voice entered by a user; and inputting the first conversational voice into a voice interaction model, to acquire second conversational voice generated by the voice interaction model for the first conversational voice for return to the user; wherein the voice interaction model includes: a voice encoding submodel configured to encode the first conversational voice and historical conversational voice of a current session, to obtain voice state Embedding; a state memory network configured to obtain Embedding of at least one preset attribute by using the voice state Embedding; and a voice generation submodel configured to generate the second conversational voice by using the voice state Embedding and the Embedding of the at least one preset attribute. The at least one preset attribute is preset according to information of a verified object. Intelligent data verification is realized according to the present disclosure.
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公开(公告)号：US20220028268A1
公开(公告)日：2022-01-27
申请号：US17497574
申请日：2021-10-08
Inventor： Tongbin Zhang , Jizhou Huang , Deguo Xia , Yongyan Dong , Jianzhong Yang , Zhen Lu
IPC: G08G1/0968 , G06K9/00
Abstract: A road information processing method, an electronic device and a storage medium are provided, relates to the field of intelligent transportation, and may be used for the field of cloud computing or cloud. The method includes: acquiring a road image, and identifying a street lamp in the road image to obtain a street lamp identification result; associating the road image with an electronic map to obtain a road corresponding to the road image in the electronic map; and marking a street lamp attribute for the road corresponding to the road image in the electronic map based on the street lamp identification result.
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公开(公告)号：US12183196B2
公开(公告)日：2024-12-31
申请号：US17753817
申请日：2021-11-17
Inventor： Jizhou Huang , Deguo Xia , Haifeng Wang
IPC: G08G1/0968 , B60W30/18 , B60W40/04 , G08G1/01 , G08G1/052 , G08G1/08 , G08G1/0967
Abstract: A vehicle control method and apparatus, a device and a computer storage medium are disclosed, which relates to the technical fields of autonomous driving and intelligent transportation. A specific implementation solution involves: determining vehicles in a preset geo-fencing region; determining a vehicle weight of each said vehicles according to a vehicle type and a waiting duration of each said vehicles; estimating, according to the vehicle weights of the vehicles in each of lanes in the geo-fencing region and positions of the vehicles in each said lanes, a duration to be waited in each said lanes; and generating a control instruction for each said vehicles according to the respective durations to be waited in each said lanes and the respective positions of the vehicles in each said lanes, the control instruction including a state instruction and/or a target speed instruction.
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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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