Multi-source trajectory data segmentation and grouping processing method, device and equipment

By identifying the sectioned feature objects of the intersection and processing multi-source trajectory data in segmented, the problems of large single-pass closed-loop acquisition resources and low data fusion efficiency in multi-pass map production are solved, efficient data matching and alignment are achieved, and the production efficiency and accuracy of high-precision maps are improved.

CN119714241APending Publication Date: 2025-03-28SHENYANG MXNAVI CO LTD
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Patent Information

Application Number
CN202311279903.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-28
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

When making high-precision maps, the existing technology faces the problem of large single-track closed-loop acquisition resources and limited application scenarios, and the fusion efficiency of multiple single-track data is low, resulting in low credibility and accuracy requirements during matching.

Method used

By identifying the intersection segmentation feature objects in multiple single-pass data, determining the segmentation points and segmentation radius of multi-source trajectory data, and then segmenting the single-pass data into multiple segment data, generating group data, establishing the association relationship between segment data and group data, and building topological structure relationships to improve the efficiency of data matching and alignment.

Benefits of technology

It realizes stable segmentation processing of multiple data trips, improves the efficiency of data matching and alignment, and enhances the production efficiency and accuracy of high-precision maps.

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Abstract

The invention discloses a segmentation and grouping processing method, device and equipment for multi-source trajectory data, and the method comprises the steps: determining segmentation points and segmentation radiuses of a multi-source trajectory data group based on intersection segmentation feature objects which are respectively recognized in a plurality of pieces of single-trip data; and according to the segmentation point and the segmentation radius, segmenting a plurality of pieces of single-trip data, so as to divide the single-trip data into a plurality of pieces of segment data. The method mainly comprises the following steps of: segmenting and grouping data acquired at different time for multiple times, and providing stable segmented processing data for matching and aligning the data in the middle section in the subsequent steps; meanwhile, through the segmentation processing, a segment data topology network structure can be established, and an effective and reasonable data structure is provided for segment data matching and alignment.
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