Road point cloud error scene analysis method based on space plane offset analysis model

An analysis model and analysis method technology, applied in road network navigators, character and pattern recognition, instruments, etc., can solve the problems of lack of data offset system induction, inability to quickly and intuitively grasp point cloud data error scenarios, etc., to achieve improvement The effect of overall computing efficiency, avoiding the influence of human factors, and flexible construction

Active Publication Date: 2021-12-03
ZHEJIANG INST OF SURVEYING & MAPPING SCI & TECH
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Problems solved by technology

Although the above method of precision calculation can obtain the absolute accuracy of point cloud data, it cannot quickly and intuitively grasp the error scenarios of real road point cloud data, and lacks a systematic induction of data offset caused by various errors

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  • Road point cloud error scene analysis method based on space plane offset analysis model
  • Road point cloud error scene analysis method based on space plane offset analysis model
  • Road point cloud error scene analysis method based on space plane offset analysis model

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Embodiment Construction

[0091] Embodiments of the present invention will be described in detail below, and examples of the embodiments are illustrated in the drawings, in which the same or similar reference numerals represent the same or similar elements or elements having the same or similar functions. The following is exemplary, and is intended to be illustrative of the invention, not to be construed as limiting the invention.

[0092] The present invention proposes a method of analyzing a road point cloud error scenario based on spatial plane offset analysis model, such as Figure 1 ~ 2 Indicated.

[0093] Step 1, the external road point cloud data acquisition, the local plane feature on the selected road is the reference plane S 0 .

[0094] Step 1.1, reference flat feature selected: For the reference plane S in step 1 0 The selection, the structure of the road and its supporting facilities, select a flat pavement, zebra crossing, road sign, road side identification card, etc. in the direction of trav...

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Abstract

The invention provides a road point cloud error scene analysis method based on a space plane offset analysis model. The method is characterized by comprising the following steps: S1, collecting point cloud data of a field road, and selecting local plane features on the road as a reference plane; S2, randomly performing control point coordinate acquisition on the selected reference plane according to the reference plane selected in the S1; S3, performing discreteness analysis on the control point data, and salient outliers in the control point data are eliminated by using a proposed salient outlier rapid screening algorithm; S4, constructing a point cloud local calculation space based on a discreteness analysis result in the S3; S5, acquiring a reference plane equation based on least square space plane fitting; S6, calculating the distance distribution condition from the laser foot points of the road point cloud to the reference plane; and S7, error scene analysis based on the space plane offset model. According to the method, qualitative analysis and systematic induction can be carried out on the road point cloud data deviation condition, and the mastering degree of the local data deviation condition is improved.

Description

Technical field [0001] The present invention relates to the field of road point cloud error scenarios, and more particularly to a road point cloud error scenario analysis method based on spatial plane offset analysis model. Background technique [0002] In recent years, with the continuous development of automatic driving and high-precision map industries, road point cloud data has become an important source of automatic driving high-precision map production. The quality of road point cloud data has a very important impact on the extraction of subsequent vectors and the production of high-precision maps. Therefore, the research on road point cloud error scenarios is summarized for our further systematic understanding of errors, in-depth understanding of the influence of errors, and analyzing the causes of errors. [0003] At present, there is less research on the classification and analysis of road point cloud data error scenarios, and the industry is generally based on point-bas...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G01C21/20G01C21/32G01S19/43
CPCG01C21/32G01C21/20G01S19/43G06F18/2433G06F18/10
Inventor 许子扬杨莹邹文明赖苗苗王芳胡盛滨
Owner ZHEJIANG INST OF SURVEYING & MAPPING SCI & TECH
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