Entrance and exit position determination method, related device, equipment and storage medium

Abstract

The invention discloses an entrance and exit position determination method. The method can be applied to but not limited to the fields of maps, navigation, Internet of Vehicles, vehicle-road collaboration, instant messaging and the like. The method comprises the steps of obtaining K groups of positioning track data; determining a candidate positioning point set for the to-be-labeled building according to the K groups of positioning track data; performing clustering processing on the candidate positioning point set to obtain a target cluster; and determining the center position of the class cluster from the target cluster, and taking the center position of the class cluster as the entrance and exit position corresponding to the to-be-labeled building. The invention further discloses a device, equipment and a storage medium. According to the method and the device, the entrance and exit position of the building can be automatically excavated according to the positioning track data from the user positioning log without manual labeling, so that human resources are saved, and the cost of calibrating the entrance and exit position of the building is reduced.

Description

technical field [0001] The present application relates to the field of positioning technology, and in particular to a method for determining the position of an entrance and exit, a related device, equipment, and a storage medium. Background technique [0002] In the map service, it is very important to calibrate the position of the entrance and exit of the building. For example, determining which entrance a user can enter and exit a building during indoor and outdoor positioning. Another example is to recommend a suitable drop-off location to the user during the navigation process. Another example is to display the location of a merchant to a user in an electronic map application. [0003] At present, manual collection or crowdsourcing collection is usually used to calibrate the location of building entrances and exits. Specifically, based on the manual collection method, it is necessary to collect the location of the entrance and exit of the building at the same time whe...

AI Technical Summary

Problems solved by technology

[0004] However, in the process of building entrance and exit locations, whether it is based on manual collection or crowdsourcing collection, it needs to consume more human resources, resulting in a higher cost of calibrating the location of building entrances and exits

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