公开(公告)号：US20240294179A1

公开(公告)日：2024-09-05

申请号：US18647621

申请日：2024-04-26

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Leijie WANG ,  Zhenbo LIU ,  Feng WEN ,  Hongbo ZHANG

IPC: B60W50/04 ,  B60W50/02

CPC classification number: B60W50/045 ,  B60W50/0225

Abstract: Examples of data processing methods and apparatus are described. One example method includes determining first pose information of a vehicle at a second moment based on pose information of the vehicle at a first moment and a first model, where the first model is a pose estimation model from the first moment to the second moment. Data collected by one or more sensors is obtained. Second pose information of the vehicle at the second moment is determined based on the first pose information and the data.

公开(公告)号：US20240062415A1

公开(公告)日：2024-02-22

申请号：US18494547

申请日：2023-10-25

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Changliang XUE ,  Heping LI ,  Feng WEN ,  Hongbo ZHANG

IPC: G06T7/73 ,  G06V10/44

CPC classification number: G06T7/73 ,  G06V10/443 ,  G06T2207/30244

Abstract: This application provides example terminal device localization methods and related devices. One example method includes obtaining, from a vector map, a first map point matching a first feature point in a current image frame shot by a terminal device. A second map point matching a second feature point in another image frame before the current image frame is obtained from the vector map. A pose in which the terminal device shoots the current image frame is adjusted based on a target function to obtain, as a localization result of the terminal device, a pose in which the terminal device shoots the current image frame and that is obtained after current adjustment. The target function includes a first matching error between the first feature point and the first map point and a second matching error between the second feature point and the second map point.

公开(公告)号：US20200226434A1

公开(公告)日：2020-07-16

申请号：US16825145

申请日：2020-03-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wanlong LI ,  Feng WEN

IPC: G06K9/62 ,  G06F17/16

Abstract: The method includes: determining a reference sensor from at least two sensors and sampling moments of the reference sensor; when obtaining observation data of a sensor K at a moment t1, determining a type of the sensor K; if the sensor K is a first sensor of a first type, determining a sampling moment T1 that is closest to t1 and an interpolation coefficient λ1, and calculating first rotation data and first translation data that are at T1, and a first covariance matrix; if the sensor K is a second sensor of a second type, determining two sampling moments T2 and T3 that are closest to t1 and interpolation coefficients λ2 and λ3, and calculating second rotation data and second translation data that are of the second sensor from T2 to T3, and a second covariance matrix; merging rotation data, translation data, and covariance matrices that are at the sampling moments.

公开(公告)号：US20230222688A1

公开(公告)日：2023-07-13

申请号：US18124354

申请日：2023-03-21

Applicant: Huawei Technologies Co., Ltd.

Inventor： Huayou WANG ,  Changliang XUE ,  Yanhui YU ,  Yanxing ZHOU ,  Feng WEN

IPC: G06T7/73 ,  G06V10/98

CPC classification number: G06T7/73 ,  G06V10/98

Abstract: A mobile device positioning method and a mobile device positioning apparatus (900) are disclosed. Perception vector elements (301 and 302) are associated with projection vector elements (303 and 304) based on horizontal positions of the perception vector elements (301 and 302) extracted from an image and horizontal positions of the projection vector elements (303 and 304) obtained through projection of vector elements in a map. In this way, when the horizontal positions of the associated perception vector elements (301 and 302) and the horizontal positions of the associated projection vector elements (303 and 304) are separately arranged in a same order, horizontal position distribution of all the arranged perception vector elements (301 and 302) is consistent with that of corresponding projection vector elements (303 and 304) in the arranged projection vector elements (303 and 304), and pose estimation is performed on a mobile device based on an association result.

公开(公告)号：US20230093020A1

公开(公告)日：2023-03-23

申请号：US17993093

申请日：2022-11-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jianfei LI ,  Aixue YE ,  Yajun GAO ,  Feng WEN

IPC: G01C21/00 ,  G01C21/36

Abstract: A positioning method, which relates to the positioning field and is applied to target positioning in a spatially overlapping scenario, is disclosed. The positioning method can avoid a positioning error in the spatially overlapping scenario. The method includes: constructing a local topology map of a target at a current moment based on identifiers of segments and one or more connection relationships among at least some of the segments, wherein the identifiers of the segments and the one or more connection relationships are prestored in map information; and determining, by using the local topology map, a specific road segment in which a target located in a spatially overlapping region is located at a next moment. In addition, a positioning map linked with a road segment may be further stored in the map information, and a positioning map linked with a positioned road segment is determined based on the positioned road segment, to implement high-precision positioning.

公开(公告)号：US20200219000A1

公开(公告)日：2020-07-09

申请号：US16825694

申请日：2020-03-20

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Feng WEN ,  Changliang XUE ,  Yuxin FU

IPC: G06N7/00 ,  G06N20/00 ,  G05D1/00

Abstract: One example method includes obtaining a state vector set, where the state vector set includes at least one of a pose vector of an intelligent device or a landmark characteristic vector of an environment in which the intelligent device is located, determining a first linearized constraint equation, determining a first state vector, marginalizing the first state vector in the first linearized constraint equation to obtain a second linearized constraint equation, determining an objective function based on the second linearized constraint equation, and optimizing the at least one of the at least one pose vector or the at least one landmark characteristic vector based on the objective function to output a track of the intelligent device and a map of the environment in which the intelligent device is located.