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公开(公告)号：US12174319B2
公开(公告)日：2024-12-24
申请号：US17670504
申请日：2022-02-13
Inventor： Lijun Ju , Junping Wang , Chengfa Wang , Fan Zhu , Xiang Liu , Junkui Qiao
IPC: G01S7/48 , B60R1/00 , B60R11/04 , G01S7/481 , G01S13/86 , G01S13/931 , G01S15/86 , G01S15/931 , G01S17/86 , G01S17/931 , H04N23/51
Abstract: An autonomous vehicle includes: a plurality of side laser radars respectively provided on a plurality of side portions of the autonomous vehicle, each of the plurality of side laser radars being partially embedded in a corresponding side portion of the plurality of side portions; and a top laser radar provided on a top portion of the autonomous vehicle and configured to obtain environmental information around the autonomous vehicle together with the plurality of side laser radars. By providing the plurality of laser radars, a sensing blind spot of the autonomous vehicle may be avoided.
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公开(公告)号：US12131598B2
公开(公告)日：2024-10-29
申请号：US17464771
申请日：2021-09-02
Inventor： Dan Li , Mengqin Ai , Qian Chen , Jianping Li
CPC classification number: G07C5/10 , G06T7/20 , G06T7/70 , G07C5/008 , G06T2207/10028 , G06T2207/30261
Abstract: The present application discloses a testing method and apparatus for a vehicle perception system, a device and a storage medium, and relates to data processing and, in particular to the field of artificial intelligence such as automatic driving, intelligent transportation, etc. A specific implementation scheme lies in: acquiring an actual speed and a perceptual speed of a test object, where the perceptual speed of the test object is a speed of the test object perceived by the vehicle perception system; determining, according to the actual speed of the test object and the perceptual speed of the test object, speed reporting delay time of the vehicle perception system, where the speed reporting delay time is used to reflect sensitivity of the vehicle perception system to perceive a speed of an obstacle.
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公开(公告)号：US11893884B2
公开(公告)日：2024-02-06
申请号：US17498638
申请日：2021-10-11
Inventor： Libin Yuan , Jinrang Jia , Guangqi Yi
CPC classification number: G08G1/04 , G06V20/13 , G08G1/0116 , G08G1/0141 , G08G1/0145
Abstract: The present application discloses a method for acquiring three-dimensional perception information based on external parameters of a roadside camera, and a roadside device. The specific implementation solution is as follows: acquiring a first matching point pair between an image captured by the first camera and an image captured by the second camera, and generating a first rotation matrix, where the first rotation matrix represents a rotation matrix of the first camera in a second camera coordinate system; generating a third rotation matrix according to the first rotation matrix and the second rotation matrix, where the second rotation matrix represents a rotation matrix of the second camera in a world coordinate system, and the third rotation matrix represents a rotation matrix of the first camera in the world coordinate system; generating three-dimensional perception information of the image captured by the first camera according to the third rotation matrix.
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4.发明授权公开(公告)号：US11893800B2
公开(公告)日：2024-02-06
申请号：US17463624
申请日：2021-09-01
Inventor： Xiaolong Wang
IPC: G06V20/56 , G06V20/58 , G06F30/20 , B60W60/00 , B60W30/095
CPC classification number: G06V20/58 , B60W30/095 , B60W60/001 , G06F30/20 , B60W2554/404
Abstract: A scene reproduction test method, apparatus, device and program product of an autonomous driving system are provided by the present application. The method includes: obtaining problematic scene data generated during a test on an autonomous driving vehicle equipped with a first autonomous driving system, and determining key obstacle information and non-key obstacle information according to the problematic scene data; generating, according to the non-key obstacle information, a virtual obstacle model, and determining, according to the key obstacle information, a real device used to simulate a key obstacle; where the real device is a device that actually exists in a test environment; performing, by utilizing the virtual obstacle model and the real device, a reproduction test on an autonomous driving vehicle equipped with a second autonomous driving system. In the solution, the test object is a real autonomous driving vehicle, and the key obstacle is a real device.
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5.发明授权公开(公告)号：US11880450B2
公开(公告)日：2024-01-23
申请号：US17383193
申请日：2021-07-22
CPC classification number: G06F21/46 , G06F16/2379 , G06F21/31 , H04L9/0825 , H04L9/0863 , H04L9/3226
Abstract: The present application discloses a method and apparatus for updating a password of an electronic device, a device, and a storage medium, and relates to intelligent transportation, vehicle-road collaboration, and device security technologies in the field of data processing. The specific implementation solution is: in response to detecting a trigger condition of a password update, the electronic device randomly generates a first password, and updates a login password of the electronic device to the first password; then the electronic device sends a password updating message to a server, and the password updating message is configured to indicate an identification of the electronic device and the first password. The server updates the database for storing login passwords of different electronic devices according to the password updating message. Through the above process, the safety of the electronic device is improved.
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Patent Agency Ranking
公开(公告)号：US20230391341A1
公开(公告)日：2023-12-07
申请号：US18235310
申请日：2023-08-17
Inventor： Zongdai LIU , Ji WAN , Xiaoqing YE , Jun WANG , Jingdong WANG , Liang WANG
CPC classification number: B60W40/06 , G06V20/588 , G06V10/82 , B60W60/001
Abstract: The present disclosure provides a method, an apparatus, an electronic device, a storage medium and a program product for perceiving a road structure, and relates to the technical field of artificial intelligence and, in particular, to the technical field of deep learning and automatic driving. A specific implementation includes: determining, based on map data, a first perceiving result characterizing a road structure around a current position; determining, by a road structure perceiving model trained in advance, a second perceiving result characterizing the road structure around the current position; and generating a final perceiving result characterizing the road structure around the current position based on the first perceiving result and the second perceiving result.
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公开(公告)号：US11835356B2
公开(公告)日：2023-12-05
申请号：US17676686
申请日：2022-02-21
Inventor： Donghui Shen
CPC classification number: G01C21/3815 , G06F16/29
Abstract: The present disclosure provides an intelligent transportation road network acquisition method and apparatus, an electronic device and a storage medium, and relates to the field of artificial intelligence such as intelligent transportation. The method includes: acquiring a target demand set; acquiring annotation information, the annotation information being microscopic road network attribute information manually annotated on a displayed map road network for intersections in the target demand set; acquiring macroscopic road network information corresponding to the target demand set from road network data corresponding to the map road network; and generating an intelligent transportation road network corresponding to the target demand set according to the annotation information and the macroscopic road network information. The intelligent transportation road network meeting requirements of intelligent transportation service scenarios can be obtained accurately and efficiently by using the solutions according to the present disclosure.
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公开(公告)号：US11821746B2
公开(公告)日：2023-11-21
申请号：US17552190
申请日：2021-12-15
Inventor： Yupu Huang , Ruihua Liao
CPC classification number: G01C21/3492 , G01C21/3679 , G01C21/3691 , G08G1/0112 , G08G1/056 , G08G1/096844
Abstract: A method and an apparatus of processing traffic data, a device, a medium and a product are provided. The method of processing traffic data includes: acquiring initial traffic data for a vehicle, wherein the initial traffic data includes current position information of the vehicle, position information of a plurality of traffic objects and feature information; determining a relative positional relationship between the current position information of the vehicle and the position information of the plurality of traffic objects; and processing the initial traffic data based on at least one of the feature information and the relative positional relationship to acquire at least one traffic data set, so as to navigate the vehicle based on the at least one traffic data set.
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公开(公告)号：US11810320B2
公开(公告)日：2023-11-07
申请号：US17366604
申请日：2021-07-02
Inventor： Bo Liu , Leping Huang
CPC classification number: G06T7/73 , G06T7/0002 , G06T7/13 , G06T7/62 , G06V10/25 , G06V10/44 , G06V10/56 , G06V20/584
Abstract: A method and apparatus for determining a location of a signal light, a storage medium, a program and a roadside device provided by the present application, which relate to intelligent traffic technology and automatic driving technology, including: for a plurality of frames of images captured including the signal light, determining horizontal edges and vertical edges in each of the images; combining, according to the obtained horizontal edges and vertical edges, to obtain a plurality of rectangular frames; and determining, according to the plurality of rectangular frames and preset size information of a frame of the signal light, the location of the signal light in the image.
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公开(公告)号：US11792514B2
公开(公告)日：2023-10-17
申请号：US17505770
申请日：2021-10-20
Inventor： Bo Liu , Jinrang Jia
CPC classification number: H04N23/6811 , G08G1/095 , G08G1/097 , H04N23/683
Abstract: A method and an apparatus for stabilizing an image, a roadside device, and a cloud control platform are provided. The method may include: calculating, for a current image in an image sequence, a first offset between each image stabilization box of the current image and a corresponding image stabilization box of a template image; adding a first offset meeting a first preset condition to an observation list of a corresponding image stabilization box of the template image until there is an observation list meeting a second preset condition; and determining a position of the signal light of the current image, based on a first offset in an observation list of at least one image stabilization box and a position of the signal light of the template image.
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