Lane Recognition Control for Accurate BSD and LCA Warnings
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Solution Overview
Problem
Conventional blind spot detection (BSD) and line change assistance (LCA) systems often provide false warnings due to inaccurate lane recognition, leading to driver fatigue and potential accidents, as they fail to differentiate between vehicles in the same lane and those in adjacent lanes, especially in varying lane widths and recognition ranges.
Innovation Solution
A lane recognition system equipped with sensors and radar at a subject vehicle to detect lane lines, calculate distances, and determine vehicle states, which corrects line distances based on previously set lane widths and thresholds to accurately assess driving states and prevent unnecessary warnings by setting a following-vehicle warning area based on these calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional BSD and LCA systems use simple sensor-based lane detection, then the system complexity is low, but the lane recognition accuracy deteriorates leading to false warnings
Solution Approach 1:
The patent combines multiple sensing systems (cameras for lane detection and radar for vehicle detection) into an integrated BSD/LCA system. The controller merges data from both sensors to achieve accurate lane recognition and vehicle positioning, resolving the contradiction by combining simple individual systems into a coordinated multi-sensor system that improves accuracy without excessive complexity
Solution Approach 2:
The controller acts as an intermediary that processes and integrates information from both the camera-based lane detection system and radar-based vehicle detection system. It reconciles the data from these two independent sensing systems to determine accurate vehicle states, enabling precise lane recognition while maintaining manageable system complexity through centralized coordination
2Reliability
If the system provides warnings for all detected following vehicles, then the safety coverage is high, but the driver experiences fatigue due to false warnings
Solution Approach 1:
The system uses feedback from lane detection data to dynamically adjust warning behavior. By continuously monitoring the detected lane width and vehicle position relative to lanes, the controller provides feedback to determine whether a following vehicle is in the same lane or adjacent lane, enabling selective warning activation that maintains safety while reducing false alarms that cause driver fatigue
Solution Approach 2:
The system changes the warning activation parameter based on detected lane conditions. When the sensor detects both left and right lane lines, the system calculates the lane width and uses this parameter to determine whether to activate warnings. This dynamic parameter adjustment ensures warnings are provided only when necessary, maintaining safety coverage while improving driver comfort by eliminating unnecessary alerts
3Area of stationary object
If the sensor detects lane lines at greater distances, then the recognition range is expanded, but the measurement precision of line distances deteriorates
Solution Approach 1:
The controller performs preliminary correction of line distance measurements using previously set lane width information. When the sensor detects lane lines at extended distances where measurement precision deteriorates, the system applies preliminary correction based on stored lane width data to compensate for measurement errors, maintaining accuracy across the expanded recognition range
Solution Approach 2:
The system replaces direct mechanical/optical distance measurement with a calculation-based approach using previously set lane width parameters. Instead of relying solely on sensor measurement accuracy at long distances, the controller substitutes direct measurement with computational correction using stored reference data, enabling accurate distance determination even when sensors detect lines at greater distances
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 false warnings and driver fatigue by accurately recognizing lane changes and vehicle positions, thereby enhancing safety by providing timely warnings only when necessary, thus reducing the risk of accidents during lane changes.
Implementation Method 1
a sensor provided at a subject vehicle, and being 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 being configured to collect following-vehicle location information of a following vehicle
Data Source
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.