U-Turn Lane Line Marking Around Intersection Obstacles
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Solution Overview
Problem
Existing methods for automatically marking U-turn lane lines on high-definition maps face challenges such as manual labor intensity, difficulty in ensuring smoothness and aesthetics, and collision with obstacles like curbstones and isolation belts, necessitating manual adjustments.
Innovation Solution
A method and apparatus for automatically marking U-turn lane lines by determining intersection entry and exit points and considering obstacles, calculating depths based on obstacle projections, and using Bézier or spline curves to create a U-turn lane line that avoids collisions, reducing manual adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual marking is performed by map making person based on point cloud map, then the U-turn lane line can be marked, but it is time-consuming and labor-consuming
Solution Approach 1:
The system performs automatic marking by itself using obstacle detection data and projection calculations, eliminating the need for manual map making person intervention. The computer automatically generates U-turn lane lines by calculating obstacle projections and adjusting lane line depths,实现self-service marking that reduces both time and labor while maintaining precision.
Solution Approach 2:
The patent replaces the manual mechanical marking process with an automated computational system. Instead of manual drawing and adjustment, the system uses obstacle detection data, projection calculations, and algorithmic lane line generation to automatically create accurate U-turn lane lines, substituting human labor with computational automation.
2Productivity
If automatic marking is performed based on intersection information, then the marking efficiency is improved, but the generated lane line may collide with obstacles like curbstone and isolation belt
Solution Approach 1:
The system performs preliminary obstacle detection and projection calculation before generating the U-turn lane line. By first identifying obstacles and calculating their projections on the lane line path, the system proactively adjusts the lane line depth to avoid collisions, ensuring reliability before the actual marking is completed.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors obstacle positions and adjusts lane line parameters accordingly. The obstacle detection results feed into the lane line generation algorithm, which automatically modifies the lane line depth based on detected obstacles, creating a closed-loop system that ensures collision avoidance while maintaining marking efficiency.
3Reliability
If manual adjustment is performed to avoid obstacles, then the collision avoidance is improved, but the manual adjustment time increases
Solution Approach 1:
The system performs self-adjustment by automatically calculating obstacle projections and modifying lane line depths without human intervention. The computer service includes detecting obstacles, calculating their impact on lane lines, and automatically adjusting the lane line parameters to avoid collisions, eliminating the need for manual adjustment time while maintaining collision avoidance reliability.
Solution Approach 2:
The system performs preliminary adjustment calculations before final marking by predicting obstacle intersections and pre-adjusting lane line depths. This preliminary action prevents collisions from occurring in the first place, eliminating the need for subsequent manual adjustments and reducing adjustment time to zero while maintaining high reliability.
Data Source
AI summary
A method for automatically marking a U-turn lane line includes: obtaining information about an intersection entry point, information about an intersection exit point, and information about an obstacle at a to-be-marked intersection; and marking a U-turn lane line with a first depth. The first depth is determined based on a second depth of the obstacle. The first depth of the U-turn lane line is determined based on the second depth of the obstacle, so that a marked U-turn lane line does not collide with the obstacle, to mark a more proper U-turn lane line.