Traffic facility vector recognition, extraction and analysis system based on point cloud data and AI technology

Abstract

The invention discloses a traffic facility vector recognition, extraction and analysis system based on point cloud data and an AI technology, and belongs to the technical field of intelligent traffic. In order to solve the problems that an existing traffic control department monitors road vehicles and traffic facilities in a picture or plane signal mode, certain limitation exists in the mode, workers cannot visually obtain actual data of the facilities and the vehicles, and therefore errors can occur in use in some applications. The three-dimensional live-action modeling technology engine is a three-in-one engine and is a three-in-one autonomous engine of a data engine, a map engine and a video engine. Holographic description, immersive and immersive experience command are realized by adopting video fusion, multi-map integrated multi-view application, first-person-view multi-lens fusion high and low point linkage indoor and outdoor linkage and real-time video real-time face vehicle feature behavior real-time structured analysis.

Description

technical field [0001] The invention relates to the field of intelligent transportation technology, in particular to a traffic facility vector identification, extraction and analysis system based on point cloud data and AI technology. Background technique [0002] Through oblique photographic modeling, laser point cloud modeling, BIM modeling and other measurable real-world 3D data, it directly reflects the original appearance of ground features and natural environment in the form of high-definition and high-resolution panoramic images. It contains the target object information to be measured, as well as various natural and social information related to it, and as a new type of geographic information data source, it can be seamlessly integrated with Tiantu or various geographic information sharing service platforms , to provide the required real-world thematic data for all aspects of smart city construction. For smart city industry users, it can realize the visual management...

AI Technical Summary

Problems solved by technology

[0003] However, the existing traffic control department adopts the method of picture or plane signal in the monitoring of road vehicles and traffic facilities. This method has certain limitations, and the staff cannot directly obtain the actual data of the facilities and vehicles, thus It will lead to errors in the use of some applications; therefore, it does not meet the existing needs. For this, we propose a traffic facility vector recognition extraction analysis system based on point cloud data and AI technology

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