Generation and auxiliary positioning method for live-action semantic map of smart scenic spot

Abstract

The invention discloses a generation and auxiliary positioning method of a live-action semantic map of a smart scenic spot. The generation and auxiliary positioning method comprises the following steps: acquiring a scenic spot panoramic image and positioning information, extracting scenic spot image features to perform semantic description and scene classification identification marking, and establishing a scenic spot live-action semantic map database; collecting a scene stereo image pair at the current position by a user; matching the photo image features and the semantic information with theimage features and the semantics of the local semantic map of the scenic spot respectively; and acquiring a scenery image closest to the photographic film, extracting the spatial position informationof the scenery image marked in the semantic map, resolving the accurate position of the user photography through a spatial forward intersection collinear equation, and displaying the position coordinates of the user on the scenic spot electronic map in real time. According to the generation and auxiliary positioning method, the fine position of the user is calculated through the main steps, and the defects of insufficient live-action semantic information and inaccurate positioning in an electronic map are overcome.

Description

technical field [0001] The invention relates to the field of generation and application of a real-scene map of a scenic spot, in particular to a method for generating and assisting positioning of a semantic map of a smart scenic spot based on recognition, matching and positioning of a real-scene image. Background technique [0002] The electronic map of the scenic spot contains the guide landmarks and information of the main scenic spots. However, due to the two-dimensional symbolic expression of the information, it is limited by the scale and detail of the information, and it is still impossible to achieve accurate positioning in the real environment. There is still some deviation in the exact location and its real tour environment. Especially in an environment where the semantics of scenic spots are similar and close, tourists cannot quickly identify their precise location with only electronic maps, exposing the limitations and shortcomings of commercial electronic maps. ...

AI Technical Summary

Problems solved by technology

[0002] The electronic map of the scenic spot contains the guide landmarks and the information of the main scenic spots. However, due to the two-dimensional symbolic expression of the information, it is still unable to achieve accurate positioning in the real environment due to the two-dimensional symbolic expression. There is still a certain deviation in the exact location and its real tour environment

Especially in an environment where the semantics of scenic spots are similar and close, tourists cannot quickly identify their precise location with only electronic maps, exposing the limitations and shortcomings of commercial electronic maps

Although the current mainstream electronic maps use street views and 360- and 720-degree panoramas to provide users with more environmental information, they are limited to real-world image data. Due to the lack of semantic extraction, fine feature description and precise positioning methods for real-world images, Unable to meet the needs of smart scenic spots for functions related to precise location services

In addition, location-based services have broad application prospects in scenic spots. The distribution of communication base stations and wifi in scenic spots is uneven. Due to the limitation of accuracy, there are certain errors in positioning, resulting in errors of several meters or even tens of meters, which affects scenic spots. The accuracy of real-time positioning has caused tourists and other users to completely rely on scenic spot signs or commercial electronic map systems, or mobile phone GPS positioning coordinates when visiting scenic spots. Sometimes they still cannot accurately locate their location and understand the detailed information of the surrounding environment, causing tourists Created a poor location experience, reducing the quality and efficiency of tours

Images