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.

Abstract: A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

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.