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公开(公告)号：US20230213353A1
公开(公告)日：2023-07-06
申请号：US18183003
申请日：2023-03-13
Inventor： Deguo XIA , Jizhou HUANG , Jianzhong YANG , Yanlei GU , Zhen LU , Tingting CAO , Qiuyang XU
CPC classification number: G01C21/3815 , G06T7/10 , G06T5/002
Abstract: A method of updating a road information, an electronic device, and a storage medium, which relate to an artificial intelligence technology field, in particular to fields of computer vision, deep learning, big data, high-definition map, intelligent transportation, automatic driving and autonomous parking, cloud service, Internet of Vehicles and intelligent cabin technologies. The method includes: processing image data corresponding to a target road region to obtain a set of first road lines; obtaining a set of second road lines according to a trajectory map corresponding to the target road region; calibrating the set of first road lines by using the set of second road lines to obtain a set of third road lines; combining the set of third road lines and a set of historical road lines corresponding to the target road region to obtain a combination result; and updating the set of historical road lines according to the combination result.
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公开(公告)号：US20240071102A1
公开(公告)日：2024-02-29
申请号：US18092518
申请日：2023-01-03
Inventor： Bin WU , Kai ZHONG , Tongbin ZHANG , Jianzhong YANG , Zhen LU , Deguo XIA , Jizhou HUANG
CPC classification number: G06V20/588 , G06V10/26 , G06V10/42 , G06V10/44 , G06V10/751 , G06V10/806
Abstract: Provided are a lane line recognition method, an electronic device and a storage medium, relating to a technical field of artificial intelligence, in particular to technical fields of intelligent transportation, automatic driving and deep learning. The lane line recognition method includes: extracting a basic feature of an original image; recognizing at least one lane line node in the original image by using the basic feature of the original image; extracting a local feature from the basic feature of the original image by using the at least one lane line node; fusing the basic feature and the local feature; and recognizing a lane line in the original image based on a fused result.
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公开(公告)号：US20230102804A1
公开(公告)日：2023-03-30
申请号：US18077026
申请日：2022-12-07
Inventor： Xiyan LIU , Junjie CAI , Kai ZHONG , Jianzhong YANG , Deguo XIA , Tongbin ZHANG , Zhen LU
IPC: G06V10/24 , G06V30/16 , G06V10/774 , G06V10/77
Abstract: A method of rectifying a text image, a training method, an electronic device, and a medium, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision, deep learning technology, intelligent transportation and high-precision maps. An exemplary implementation includes: performing, based on a gating strategy, a plurality of first layer-wise processing on a text image to be rectified, so as to obtain respective feature maps of a plurality of layer levels, wherein each of the feature maps includes a text structural feature related to the text image to be rectified, and the gating strategy is configured to increase an attention to the text structural feature; and performing a plurality of second layer-wise processing on the respective feature maps of the plurality of layer levels, so as to obtain a rectified text image corresponding to the text image to be rectified.
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公开(公告)号：US20240344832A1
公开(公告)日：2024-10-17
申请号：US18747669
申请日：2024-06-19
Inventor： Deguo XIA , Xiyan LIU , Jizhou HUANG
CPC classification number: G01C21/32 , G01C21/3804 , G06F16/29
Abstract: A training method for a map-generation large model is provided, including: obtaining a training sample set, each training sample in the training sample set including a road top-view sample, a first vectorized point set and a first category of a first road element, and a first mask of the road top-view sample; inputting the road top-view sample into an initial map-generation large model, and correspondingly outputting a second vectorized point set and a second category of the second road element, and a second mask of the road top-view sample; determining a model loss according to a matching result between the second and first road element, the first vectorized point set, the first category, the first mask, the second vectorized point set, the second category and the second mask, and adjusting a parameter of the initial map-generation large model according to the model loss to obtain a map-generation large model.
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公开(公告)号：US20230052842A1
公开(公告)日：2023-02-16
申请号：US17976367
申请日：2022-10-28
Inventor： Junjie CAI , Kai ZHONG , Jianzhong YANG , Deguo XIA , Tongbin ZHANG , Zhen LU
Abstract: The present disclosure provides a method and apparatus for processing an image. A specific implementation includes: acquiring a top view of a road; identifying a position of a lane line from the top view; cutting the top view into at least two areas, and determining, according to the position of the lane line in each area, a width of a lane in the each area and an average width of the lane in the top view; calculating a first perspective correction matrix by optimizing a first loss function, the first loss function being used to represent a difference between the width of the lane in the each area and the average width of the lane in the top view; and performing a lateral correction on the top view through the first perspective correction matrix to obtain a first corrected image.
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Patent Agency Ranking
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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7.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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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：US20230147594A1
公开(公告)日：2023-05-11
申请号：US18150994
申请日：2023-01-06
Inventor： Deguo XIA , Hongfei ZHU , Yaqian SHEN , Jiaqi LIU , Yuting LIU
IPC: G01C21/00
CPC classification number: G01C21/3815
Abstract: The present disclosure provides a method for integratedly updating map data, a device, and a storage medium, relates to the field of artificial intelligence technology such as vehicle-road coordination and intelligent transportation. An embodiment of the method includes: acquiring map update data; generating an updated confidence of map features based on the map update data; and updating uniformly a first-precision map and a second-precision map based on the updated confidence of the map features, where precision of the first-precision map is higher than precision of the second-precision 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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