Lane Centerline Detection Using Vehicle Motion-Based Candidate Selection
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Solution Overview
Problem
Existing lane detection systems in vehicles do not provide complete satisfaction in terms of safety and comfort, as they sometimes fail to accurately identify the center line of the lane, leading to inconsistent driving experiences.
Innovation Solution
A method that constructs multiple candidate center lines based on vehicle posture and movement data, calculating coefficients for these lines, and selects the most suitable one based on the vehicle's behavior and future predictions, using sensors already embedded in vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single center line is detected using conventional sensor processing, then the detection process is simple and fast, but the accuracy and reliability of lane position identification deteriorates
Solution Approach 1:
The patent segments the center line detection problem by creating multiple candidate center lines instead of detecting a single line. Each candidate represents a possible lane center position, and the system evaluates multiple possibilities to improve detection accuracy. This segmentation approach transforms a single uncertain measurement into multiple potential solutions that can be evaluated and selected based on vehicle behavior consistency.
Solution Approach 2:
The patent applies dynamics by making the center line selection adaptive to vehicle behavior. The system dynamically selects among multiple candidate center lines based on real-time vehicle posture and movement data. This dynamic adaptation allows the detection system to choose the most appropriate center line candidate that is consistent with the vehicle's actual driving behavior, thereby improving measurement precision without requiring a more complex sensor system.
2Reliability
If multiple candidate center lines are constructed and selected based on vehicle behavior, then the driving comfort and safety improve, but the computational complexity increases
Solution Approach 1:
The patent implements self-service by using the vehicle's own existing sensor data (posture and movement information) to evaluate and select among candidate center lines. The system leverages data that is already being collected for other vehicle functions, transforming this existing information into a basis for center line selection. This approach improves reliability without requiring additional sensors or external infrastructure, thereby limiting the increase in processing complexity to only the selection algorithm.
3Ease of operation
If the center line detection adapts to vehicle behavior, then the trajectory smoothness and driving comfort improve, but the processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple candidate center lines based on the detected lane markings before vehicle behavior analysis is performed. This preliminary segmentation of possible center line positions allows the system to quickly evaluate candidates against vehicle behavior data without performing complex real-time calculations. The candidates are prepared in advance, reducing the computational burden during actual selection and minimizing processing time while maintaining driving comfort.
Data Source
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AI summary
The invention relates to a method for detecting a centerline of a lane (1) of a road used by a motor vehicle (10), comprising steps of: - acquiring information characterizing two lane edge lines (1D, 1G), - acquiring data relating to the posture and/or movement of the motor vehicle on the road, - creating at least two candidate centerlines (2D, 2G, 2DG) located between the two lane edge lines, - selecting one of the candidate centerlines according to the data acquired, and - deducing the centerline of the lane according to the selected candidate centerline.