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A method and system for intersection recognition based on driving trajectory and visual lane edge data

A driving trajectory and driving direction technology, applied in the field of high-precision electronic map production, can solve problems such as large gaps, and achieve the effect of accurate, efficient, high-precision, accurate and efficient generation.

Active Publication Date: 2020-11-17
WUHAN ZHONGHAITING DATA TECH CO LTD
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

In terms of camera visual recognition, Mobileye is at the forefront of the world, but currently it can only process road data between intersections. The processing effect of lane edges near intersections and within intersections is far from the demand for autonomous driving. It is necessary to be able to accurately identify intersections and separate them for separate processing. In order to achieve better processing effect

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  • A method and system for intersection recognition based on driving trajectory and visual lane edge data
  • A method and system for intersection recognition based on driving trajectory and visual lane edge data
  • A method and system for intersection recognition based on driving trajectory and visual lane edge data

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Embodiment Construction

[0050] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0051] The present invention needs to meet the following conditions:

[0052] 1) The track record contains the direction information of the vehicle when driving.

[0053] 2) There are traffic lights at the intersection that are normally available.

[0054] figure 1 A flow chart of an intersection recognition method based on driving trajectory and visual lane edge data provided by an embodiment of the present invention, as shown in figure 1 shown, including the following steps:

[0055] 1. Collect the trajectory points whose trajectory data velocity is zero.

[0056] 1.1) Load the trajectory data file, segment the trajectory points according to the number of points according to the generation sequence of the traj...

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Abstract

The invention relates to an intersection recognition method and system based on driving trajectory and visual lane edge data. The method generates an intersection stop line through trajectory data fitting, and uses the stop line to cut the lane edge to identify the intersection position, and then generates a complete intersection surface. Intersection recognition. The invention accurately and quickly recognizes intersections when generating high-precision maps from visual crowdsourcing data, facilitates separation and classification of intersections and roads between intersections, and achieves the purpose of accurately and efficiently generating high-precision lane data. Lane-level intersection recognition does not require manual identification of the corresponding intersection points of each lane, and does not require manual intervention in the specific identification process.

Description

technical field [0001] The invention relates to the field of high-precision electronic map production, in particular to an intersection recognition method and system based on driving track and visual lane edge data. Background technique [0002] With the development of autonomous driving, the demand for high-precision map data with low cost and short update cycle is becoming more and more urgent. At present, the mainstream way to reduce the cost and cycle of high-precision map collection is mainly through crowdsourcing data. In terms of camera visual recognition, Mobileye is at the forefront of the world, but currently it can only process road data between intersections. The processing effect of lane edges near intersections and within intersections is far from the demand for autonomous driving. It is necessary to be able to accurately identify intersections and separate them for separate processing. In order to achieve better processing effect. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/588G06F18/23
Inventor 冯颖朱军张平
Owner WUHAN ZHONGHAITING DATA TECH CO LTD
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