Lane centerline acquisition method, storage medium and intelligent device
By correlating and matching the current observation results and historical tracking results of the lane centerline in the SL coordinate system, the problems of false detection and missed detection in the temporal optimization of the lane centerline are solved, thereby improving the stability and accuracy of navigation.
CN122200568APending Publication Date: 2026-06-12安徽蔚来智驾科技有限公司
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 安徽蔚来智驾科技有限公司
- Filing Date
- 2024-12-12
- Publication Date
- 2026-06-12
AI Technical Summary
⚠Technical Problem
Existing technologies suffer from issues such as false detections, missed detections, and inconsistent detection durations in lane centerline detection timing, making it impossible to effectively optimize the timing correlation of lane centerlines.
⚗Method used
The current observation results and historical tracking results of the lane centerline in the SL coordinate system are used for correlation matching. By calculating the matching weight and direction information, the temporal relationship of the lane centerline is optimized.
🎯Benefits of technology
It achieves accurate timing matching of lane centerlines, improves the stability of navigation direction, and provides a reliable basis for the planning and control of intelligent devices.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122200568A_ABST
Abstract
The application relates to the technical field of automatic driving, in particular to a lane center line acquisition method, a planning control method of an intelligent device, a medium and an intelligent device, and aims to solve the technical problem of how to realize effective time sequence correlation optimization of a lane center line. To this end, the application acquires a current observation result of the lane center line at a current time and a historical tracking result under an SL coordinate system, converts the current observation result to the SL coordinate system, performs correlation matching based on the current observation result and the historical tracking result under the SL coordinate system, and obtains a time sequence optimization result of the lane center line. The current observation result and the historical tracking result of the lane center line are both under the SL coordinate system, more accurate distance, direction and other information can be obtained, the correlation matching process is more accurate and effective, the time sequence optimization result of the lane center line with more stable time sequence in the navigation direction is obtained, and a reliable basis is provided for the planning control process of the intelligent device.
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