Method for detecting indoor and outdoor scenes

Abstract

The invention provides a method for detecting indoor and outdoor scenes. The method includes: obtaining satellite positioning information about a mobile terminal by detecting a satellite positioning system; determining whether the mobile terminal is currently in an indoor environment or an outdoor environment based on a historical detection result recording situations that the mobile terminal is in an indoor or outdoor scene and the satellite positioning information. The method of the invention can improve the detection accuracy of the indoor and outdoor scenes.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an indoor and outdoor scene detection method. Background technique [0002] With the rapid development of mobile smart terminals and wireless communication technologies, location-based services have increasingly become an indispensable value-added service in the field of wireless mobile communications. Location-based services (LBS) have become the focus of attention and research hotspots. Correct environment perception can improve the accuracy of location determination. For example, for two different indoor and outdoor scenarios, the positioning methods used are usually different. , if the indoor and outdoor environment of the user can be correctly perceived, the corresponding positioning technology can be activated, so as to provide better location services for the user. [0003] However, at present, there are still some problems in indoor and outdoor scene recognition o...

AI Technical Summary

Problems solved by technology

Specifically, in the prior art, some additional auxiliary equipment is usually deployed to collect specific data for indoor and outdoor scene recognition. This method is expensive in the deployment stage and the preparation work is complicated, which greatly limits the universal application of indoor and outdoor scene recognition. It is difficult to carry out large-scale promotion due to its high quality and ease of use; it collects fingerprints through mobile smart terminals to perceive environmental information, and uses fingerprint modeling to judge the user's scene based on the matching model. And a central server is required to store the model data and respond to user requests in a timely manner. If the user's network condition is poor, it is difficult to judge the actual environment of the user and the user experience is poor, so this method has low universality; Pattern recognition and image processing methods are used to distinguish indoor and outdoor scenes. This method needs to label pictures, has strict requirements on user input accuracy and high computational complexity, and is difficult to promote on a large scale.

[0004] Therefore, the detection of indoor and outdoor scene switching by the prior art method has high time delay and low detection accuracy, and the existing technology needs to be improved to provide a method that can accurately and effectively detect indoor and outdoor scenes

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