Parking lot map construction method and system, mobile terminal and storage medium

Abstract

The invention provides a parking lot map construction method and system, a mobile terminal and a storage medium. The method comprises the following steps of: when any vehicle is in a map constructionmode, obtaining a motion posture and a surrounding image of the vehicle and extracting landmark information; generating a landmark map and a vehicle running track according to the motion posture of the vehicle and the landmark information on the basis of an SLAM algorithm; generating a raster map according to the vehicle running track and a detected runnable area; and when the vehicle runs in different areas of a parking lot, cyclically carrying out map construction so as to form a local or global parking lot map. According to the method and system, the mobile terminal and the storage medium,an effective way is provided for constructing parking lot maps.

Description

technical field [0001] The invention relates to the fields of computer communication and network security, in particular to a parking lot map construction method, system, mobile terminal and storage medium. [0002] Copyright statement [0003] The disclosure of this patent document contains material that is protected by copyright. This copyright belongs to the copyright owner. The copyright owner has no objection to the reproduction by anyone of the patent document or the patent disclosure as it exists in the official records and files of the Patent and Trademark Office. Background technique [0004] The increase in car ownership has promoted the development of large parking lots. Since entering the 21st century, we have more and more large parking lots, and the increasing scale of parking lots has brought a series of parking and pick-up The problem of urbanization has become a social problem commonly faced by every large and medium-sized city in the world. [0005] Wit...

AI Technical Summary

Problems solved by technology

However, the general visual SLAM technology uses landmark information such as common corners in the image

Its disadvantage is that it is sensitive to scene changes such as lighting and sensor consistency, and it is difficult to express it as a persistent map feature.

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