Lane Identification Using Distance Variation Analysis
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Solution Overview
Problem
Conventional lane detection systems struggle to quickly identify the traveling lane when the number of lanes increases, such as at intersections, due to the absence of lane demarcation lines in the imaging field of view, leading to delayed recognition of lane changes.
Innovation Solution
An electronic device equipped with a recognition unit for identifying right and left white lines, measuring units for calculating distances to these lines, a detection unit for variation analysis, and an identifying unit that uses these variations to determine the current lane, even in scenarios where lane demarcation lines are not continuously visible, by detecting changes in lane width and inclination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lane detection is based on white line recognition in rear camera images, then the system can identify traveling lanes during normal driving, but the system fails to quickly identify lanes at dividing points where the number of lanes increases because white lines are not visible in the imaging area
Solution Approach 1:
The system performs preliminary actions by detecting lane division points ahead of time using white line recognition, storing this information before the vehicle actually reaches the dividing point. This allows the system to have lane identification data ready before the white lines become invisible, eliminating the recognition delay that would otherwise occur at the dividing point.
Solution Approach 2:
The system transitions from relying solely on 2D image recognition of white lines to incorporating 3D spatial information by calculating distances from the vehicle to white lines and using this depth data to detect lane division points. This dimensional addition allows the system to identify lanes even when white lines are not visible in the rear camera view.
2Reliability
If the system waits for white line detection to identify lane changes, then it ensures accurate lane recognition when lines are visible, but it causes delayed lane identification at dividing points where lines are not continuously visible
Solution Approach 1:
The system performs preliminary detection of lane division points by analyzing white line characteristics before the vehicle reaches the dividing point. By storing this pre-detected information, the system ensures reliable lane identification without waiting for continuous white line visibility, thus maintaining both reliability and speed.
Solution Approach 2:
The system introduces an intermediary mechanism - a storage unit that holds pre-detected lane division point information. This intermediary allows the system to bridge the gap between detecting lane divisions before white lines disappear and maintaining accurate lane identification after the lines become invisible, ensuring both reliability and rapid response.
Data Source
AI summary
An electronic device having a function of identifying a lane on which a vehicle is traveling based on imaging data includes a white line recognition unit for recognizing a white line based on imaging data taken by a rear camera, a lane width detection unit for detecting a lane width by measuring distances from the vehicle to the right white line and to the left white line, a lane change detection unit for detecting a lane change based on the detection result by the lane width detection unit, a lane number increase detection unit for detection an increase in the number of lanes based on the detection result by the lane width detection unit, and a traveling lane identifying unit for identifying a lane on which the vehicle is traveling based on the detection results of the lane width detection unit and the lane number increase detection unit.