Lane Detection Adjusting for Vehicle Width Movement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing travel lane detection systems fail to accurately detect lane markers during vehicle lane changes due to shifts in the distance between the vehicle and lane characteristic points, leading to incorrect extraction of common lane markers.
Innovation Solution
The method accounts for the continuity of travel lane characteristic points before and after a lane change by considering the vehicle's movement in the vehicle width direction, generating and adjusting circumferential maps to accurately detect lane boundaries without being influenced by distance changes, using a combination of sensors and image processing to identify and group lane markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses standard edge histogram methods to detect lane markers, then detection speed is maintained, but detection accuracy deteriorates during lane changes due to distance changes between vehicle and lane markers
Solution Approach 1:
The system performs preliminary actions by detecting vehicle movement in the width direction and identifying lane change states before lane marker detection. By anticipating the lane change condition and preparing adjusted detection parameters in advance, the system compensates for distance changes between the vehicle and lane markers, thereby maintaining detection accuracy without requiring complex real-time adjustments during the detection process itself.
2Measurement precision
If the system eliminates lane change periods to avoid detection errors, then detection accuracy improves, but loss of time increases due to exclusion of valid detection data
Solution Approach 1:
Instead of eliminating lane change periods, the system changes detection parameters by adjusting the vehicle width direction position of lane characteristic points based on detected vehicle movement. This parameter adjustment allows the system to maintain accurate lane marker detection throughout lane change periods, converting what would be excluded time into productive detection time while preserving accuracy.
3Reliability
If the system continuously tracks lane markers without considering vehicle movement, then ease of operation is maintained, but reliability deteriorates during lane changes due to incorrect edge group extraction
Solution Approach 1:
The system implements feedback by continuously monitoring vehicle movement in the width direction and using this information to adjust lane marker detection parameters. The detected vehicle position changes feed back into the detection algorithm, allowing it to dynamically adapt to lane change conditions. This feedback mechanism ensures reliable lane marker extraction during lane changes while maintaining operational simplicity through automated adjustment.
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
Provided is a travel lane detection method for detecting travel lane boundaries according to a plurality of travel lane characteristic points detected by a target detection sensor installed in a vehicle. When a lane change of the vehicle is detected, the method determines continuity of the travel lane characteristic points detected before the lane change is completed with respect to the travel lane characteristic points detected after the lane change is completed while taking account of a lane change amount so as to detect the travel lane boundaries according to the continuity of the travel lane characteristic points.