-
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.
-
公开(公告)号:US20220244060A1
公开(公告)日:2022-08-04
申请号:US17726406
申请日:2022-04-21
Inventor: Man LI , Jianzhong YANG , Zhiyu ZHONG , Zhen LU
IPC: G01C21/34
Abstract: The present disclosure provides a method and apparatus for generating route information, a device, a medium and a product, relates to the field of computer technology and specifically to the field of artificial intelligence technology, and can be applied to map navigation scenarios. A specific implementation comprises: acquiring an origin and a destination; determining a candidate route set based on the origin and the destination; generating, for each candidate route in the candidate route set, weight information of the candidate route based on a predicted closure time length of a closed road, in response to determining that the closed road is present in the candidate route; and generating route information based on the weight information of the each candidate route in the candidate route set.
-
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.
-
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.
-
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.
-
公开(公告)号:US20230101388A1
公开(公告)日:2023-03-30
申请号:US18076230
申请日:2022-12-06
Inventor: Bin WU , Kai ZHONG , Jianzhong YANG , Tongbin ZHANG , Zhen LU
Abstract: A method for detecting a road change is provided. The method includes: obtaining a road image comprising a road to be detected; extracting a road region in the road image as a target region, wherein the road region corresponds to where the road to be detected is located; obtaining a target geographical location of the target region; determining a reference region for the target region from pre-stored road regions based on the target geographical location; calculating a similarity between the target region and the reference region; and determining, based on the similarity, whether a passability of the road to be detected is changed. By applying the solution provided by the embodiments of the present disclosure, efficiency of road change detection can be improved.
-
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.
-
公开(公告)号:US20230184564A1
公开(公告)日:2023-06-15
申请号:US18077896
申请日:2022-12-08
Inventor: Shougang SHEN , Kai ZHONG , Dingfu ZHOU , Junjie CAI , Jianzhong YANG , Zhen LU , Tongbin ZHANG
CPC classification number: G01C21/3848 , G01C21/32 , G06T7/55 , G06T7/70 , G06T2207/10016 , G06T2207/10028 , G06T2207/30244
Abstract: Provided are a high-precision map construction method, an electronic device, and a storage medium, relating to the field of high-precision map technology and, in particular, to autonomous driving technology. The implementation solution includes: calculating a pose of a camera at each position point according to a pre-acquired video; calculating an absolute depth of each keypoint in the pre-acquired video according to the pose of the camera at each position point; constructing, according to the absolute depth of each keypoint in the video, a corresponding three-dimensional point cloud of each pixel point in the pre-acquired video; and constructing, according to the corresponding three-dimensional point cloud of each pixel point in the pre-acquired video, a high-precision map corresponding to the pre-acquired video.
-
公开(公告)号:US20230063099A1
公开(公告)日:2023-03-02
申请号:US17804081
申请日:2022-05-25
Inventor: Junjie CAI , Kai ZHONG , Jianzhong YANG , Zhen LU , Tongbin ZHANG
Abstract: Provided are a method and apparatus for correcting positioning information, an electronic device and a storage medium, which relate to the field of artificial intelligence, in particular, to intelligent transportation technology and image processing technology. The specific implementation solution includes steps described below. A to-be-corrected image and positioning information of the to-be-corrected image are acquired. A target candidate reference image matching the to-be-corrected image is selected from candidate reference images having accurate positioning information. The positioning information of the to-be-corrected image is corrected according to accurate positioning information of the target candidate reference image. According to the solution of the present disclosure, the positioning information of the to-be-corrected image can be quickly corrected, and a guarantee is provided for accurately updating a navigation map by using the to-be-corrected image subsequently.
-
公开(公告)号:US20230052072A1
公开(公告)日:2023-02-16
申请号:US17973871
申请日:2022-10-26
Inventor: Qingyuan JIA , Junjie CAI , Kai ZHONG , Jianzhong YANG , Tongbin ZHANG , Zhen LU
Abstract: A point cloud registration method, apparatus, device, and storage medium are provided. The method includes: acquiring target point cloud data; dividing the target point cloud data into a plurality of point cloud sets; determining a coincidence degree between every two point cloud sets and determining a fixed point cloud set and a registration point cloud set from two point cloud sets with a coincidence degree between the two point cloud sets being greater than a preset threshold; determining a target registration matrix between the fixed point cloud set and the registration point cloud set; and performing registration of the fixed point cloud set with the registration point cloud set according to the target registration matrix.
-
-
-
-
-
-
-
-
-