Lane Recognition Control for False BSD and LCA Warning Reduction
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Solution Overview
Problem
Conventional Blind Spot Detection (BSD) and Lane Change Assistance (LCA) systems often provide false warnings due to inaccurate lane recognition, especially when lanes are wide or narrow, leading to driver fatigue and potential accidents.
Innovation Solution
A lane recognition system equipped with a sensor and radar that detects lane lines, calculates lane width, and corrects distances to accurately determine the vehicle's state, preventing false warnings by setting a following-vehicle warning area based on sensed distances and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional BSD and LCA systems are used to detect following vehicles in blind spots, then driver safety is improved through warning alerts, but false warnings occur due to inaccurate lane recognition leading to driver fatigue
Solution Approach 1:
The patent transitions from two-dimensional sensor-based lane detection to three-dimensional radar-based spatial detection. By using radar to detect the depth distance (Z-axis) of following vehicles and combining it with lateral position (X-axis) and vertical position (Y-axis), the system creates a three-dimensional warning area that accurately distinguishes between vehicles in the blind spot and vehicles in adjacent lanes, eliminating false warnings while maintaining safety.
2Ease of operation
If the warning area is set based on fixed parameters, then the system is simple to implement, but it cannot adapt to different lane widths and road conditions causing false warnings
Solution Approach 1:
The patent implements dynamic parameter adjustment where the warning area dimensions are continuously updated based on real-time detection of lane markings and road conditions. The controller adjusts the lateral width and longitudinal length of the warning area according to the detected lane width and curvature, allowing the system to adapt to different road conditions while maintaining ease of operation through automated adjustment.
Solution Approach 2:
The system uses feedback from the sensor and radar detection results to continuously refine the warning area parameters. The controller receives real-time data about lane markings, vehicle position, and road conditions, then adjusts the warning area boundaries accordingly, creating a closed-loop system that maintains accuracy across varying conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces driver fatigue and prevents false warnings by accurately recognizing lane changes and following vehicle positions, thereby enhancing safety during lane changes.
Implementation Method 1
a sensor provided at a subject vehicle, and configured to detect a left line and a right line of a current lane
Implementation Method 2
a radar provided at the subject vehicle, and configured to collect position information of a following vehicle
Data Source
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AI summary
Provided are lane recognition apparatuses and methods including a sensor provided at a vehicle to detect a left line and a right line of a current lane, sense a left line distance and right line distance from a middle of the vehicle to the left line and right line, respectively, and a controller configured to set a sum of the left line distance and the right line distance as a lane width, when the sensor detects both the left line and the right line, correct the left line distance or the right line distance based on a previously set lane width, when the sensor detects one of the left line or the right line, and determine a moving state of the vehicle as any one of normal, left-biased, right-biased, or lane change driving state based on the left line and the right line of the current lane.