Lane Departure Detection Using 3D Mapping and Side Mirror Cameras
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Solution Overview
Problem
Conventional Lane Departure Warning Systems (LDWS) face complexity in logic and low accuracy due to various variables and errors from sensor defects and camera lens distortions, leading to ineffective lane departure prevention.
Innovation Solution
The method involves extracting lane markings from images from side mirrors' cameras, performing three-dimensional mapping to correct errors, calculating direction angles and side distances, and warning the driver based on calculated lane departure distance using simplified logic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional LDWS uses various variables such as lane width, curvature radius, and lane crossing time, then the system can detect lane departure, but the logic becomes complicated
Solution Approach 1:
The patent extracts and eliminates unnecessary variables (lane width, curvature radius, lane crossing time) from the conventional LDWS system, retaining only the essential parameters (direction angle and side distance) needed for accurate lane departure detection. This extraction principle simplifies the logic while preserving the core detection functionality.
Solution Approach 2:
The patent segments the lane departure detection process into distinct calculation stages: first calculating direction angles between vehicle direction and lane markings, then calculating side distances from the vehicle to lane markings, and finally determining lane departure distance. This segmentation makes the complex detection logic more manageable and simpler to implement.
2Device complexity
If conventional LDWS uses a single camera mounted at the center, then the system structure is simple, but the accuracy is low due to sensor defects and camera lens distortion
Solution Approach 1:
The patent transitions from two-dimensional image coordinate analysis to three-dimensional real coordinate mapping. By performing three-dimensional mapping of lane markings and calculating real coordinates, the system compensates for camera lens distortion and sensor defects, significantly improving measurement precision while maintaining reasonable system complexity.
3Ease of manufacture
If conventional LDWS uses image coordinates directly, then the processing is simple, but errors from lens distortion and sensor defects cause low accuracy
Solution Approach 1:
The patent introduces three-dimensional real coordinate mapping as an intermediary step between image coordinate detection and lane departure determination. This intermediary process transforms distorted image coordinates into accurate real-world coordinates, eliminating errors from lens distortion and sensor defects while maintaining processing feasibility.
Data Source
AI summary
Disclosed is a method for preventing lane departure for use in a vehicle. The method determines whether the vehicle is moving out of its lane by extracting lane markings from an image inputted by using rear side cameras mounted on both side mirrors, calculating a lane departure distance from the directional angle and side distance calculated by three-dimensional mapping of the extracted lane markings, and estimating a lane departure time through the calculated lane departure distance and a vehicle speed sensed by a vehicle speed sensor, thereby preventing vehicle accidents caused by the driver's lane departure.