Data processing method and device for lane line, processor and automatic driving system

By filtering and supplementing lane line data, the problem of inaccurate output from the perception module of autonomous vehicles was solved, the accuracy of lane line data was improved, and the safety and reliability of autonomous driving were ensured.

CN115571136BActive Publication Date: 2026-06-12SUZHOU ZHITU TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SUZHOU ZHITU TECH CO LTD
Filing Date
2022-10-31
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

In existing technologies, the accuracy of lane line parameters output by the perception modules of autonomous vehicles is not high, which affects the safety and reliability of autonomous driving.

⚗Method used

By receiving initial detection data, lane line data outside the predetermined range, including lane line parameters, lane width, and centripetal acceleration changes, is removed. Historical frame data is then used for filtering and completion to generate accurate lane line data for the current frame.

🎯Benefits of technology

It improves the accuracy of lane line data, ensures the correct driving strategy of autonomous vehicles, and enhances the safety and reliability of autonomous driving.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides a lane line data processing method, apparatus, processor, and autonomous driving system. The method includes: receiving initial detection data, which includes first initial data and second initial data. The first initial data is lane line data of the current frame, and the second initial data is lane line data of historical frames. The lane line data includes multiple lane line trajectories and corresponding lane line parameters. Based on the initial detection data, a target trajectory line and its corresponding lane line parameters are removed from the first initial data to obtain valid data for the current frame. The target trajectory line includes lane line trajectories corresponding to lane line parameters not within a first range, lane line trajectories corresponding to lane widths not within a second range, and lane line trajectories corresponding to centripetal acceleration changes not within a third range. The centripetal acceleration change represents the change in the centripetal acceleration of the lane line. This application solves the problem of low accuracy of lane line parameters.
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