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Lane line data fusion method based on high-precision map

A data fusion and lane line technology, applied in directions such as road network navigators, can solve problems such as difficulty in ensuring accuracy and reliability

Active Publication Date: 2019-08-23
禾多科技(北京)有限公司
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Problems solved by technology

However, the accuracy and reliability of the traditional lane line data processing based on a single data source cannot be guaranteed without additional data for cross-validation

Method used

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  • Lane line data fusion method based on high-precision map
  • Lane line data fusion method based on high-precision map
  • Lane line data fusion method based on high-precision map

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Embodiment Construction

[0062] The present invention will be described in detail below in conjunction with the accompanying drawings, so that those of ordinary skill in the art can implement it after referring to this specification.

[0063] Such as figure 1 As shown, a method for fusion of lane line data based on high-precision maps mainly includes the following steps:

[0064] S1. Combine the positioning data of the vehicle with the high-precision map and the lane line data sensed at the corresponding position of the positioning data to construct a first local road frame and a second local road frame;

[0065] S2. Obtain an optimal estimated local road frame according to the positioning data and a high-precision map; wherein the optimal estimated local road frame refers to an optimal estimated value of the current local road frame;

[0066] S3. Synchronize the optimal estimated local road frame with the positioning data in time;

[0067] S4. Update the optimal estimated local road frame after time synchroni...

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Abstract

The invention discloses a lane line data fusion method based on a high-precision map. The method comprises the following steps: respectively combining positioning data of a vehicle with the high-precision map and lane line data sensed at a position corresponding to the positioning data to construct first and second local road frames; obtaining an optimal estimation local road frame according to the positioning data and the high-precision map; synchronizing the optimal estimation local road frame with the positioning data in time; according to the first local road frame, updating the optimal estimation local road frame which is subjected to time synchronization with the positioning data; synchronizing the updated optimal estimation local road frame with the lane line data in time; and according to the second local road frame, correcting the optimal estimation local road frame which is subjected to time synchronization with the lane line data. According to the method provided by the invention, a lane line recognized through sensing, the high-precision map and the positioning data are fused, consequently, more accurate and stable lane line output is obtained, and meanwhile, a technical effect of monitoring reliability of the lane line data itself is realized.

Description

Technical field [0001] The invention relates to the field of unmanned driving technology, and in particular to a method for fusion of lane line data based on a high-precision map. Background technique [0002] As a data source highly dependent on driverless car perception, path planning and control, the accuracy and stability of lane line data are essential to the safety and stability of car driving. However, the traditional lane line data processing based on a single data source has no additional data for cross-validation, and its accuracy and reliability are difficult to guarantee. How to integrate the perceptually recognized lane line with the prior high-precision map data and monitor the reliability of the lane line data to obtain more accurate and stable lane line output results is of great significance for the safe and stable driving of unmanned vehicles. Summary of the invention [0003] An object of the present invention is to solve at least the above-mentioned problems a...

Claims

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Application Information

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IPC IPC(8): G01C21/30
CPCG01C21/30
Inventor 胡禹超戴震
Owner 禾多科技(北京)有限公司
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