公开(公告)号：US20230368417A1

公开(公告)日：2023-11-16

申请号：US18361010

申请日：2023-07-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhen HUANG ,  Jinxue LIU ,  Jun CAO ,  Er LI ,  Wensen FENG

IPC: G06T7/73 ,  G06V10/54

CPC classification number: G06T7/73 ,  G06V10/54

Abstract: The technology of this application relates to a pose determining method. The method includes obtaining a first image, when first pose information determined based on the first image meets a pose anomaly condition, displaying prompt information for indicating to photograph a target object, and obtaining, by using the target object in the target image captured by a user based on the prompt, second pose information that does not meet the pose anomaly condition. When high-precision pose information cannot be determined, pose positioning is implemented by using the target object in a scenario. In addition, in a process of determining pose information of a terminal device, prompt information for indicating the user to photograph the target object is displayed, and the user is indicated to photograph the target object, thereby avoiding that the user does not know how to operate or scan an invalid target object.

公开(公告)号：US20220375220A1

公开(公告)日：2022-11-24

申请号：US17743892

申请日：2022-05-13

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wensen FENG ,  Huan ZHANG ,  Jun CAO ,  Zhongwei TANG ,  Jiangwei LI

IPC: G06V20/00 ,  G06V20/10 ,  G06V10/74 ,  G06T7/73

Abstract: A visual localization method and apparatus are provided. The method includes obtaining a captured first image, determining a first pose based on the first image and an aerial model, determining whether a ground model corresponding to the first pose exists in an aerial-ground model, and when the ground model corresponding to the first pose exists, determining a second pose based on the ground model. The aerial-ground model includes the aerial model and the ground model mapped to the aerial model, a coordinate system of the ground model is the same as a coordinate system of the aerial model, and localization accuracy of the second pose is higher than localization accuracy of the first pose. Performing fine visual localization based on the ground model can improve accuracy and a success rate of localization.