LiDAR White Line Detection Range Adjustment for Vehicle Positioning
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Solution Overview
Problem
The accuracy of estimating a vehicle's position using white lines detected by LiDAR varies due to differences in data quantity based on the type and condition of white lines, leading to inconsistent detection accuracy.
Innovation Solution
A measurement device and method that adjust the detection range of white lines based on the accuracy of the vehicle's position, using a sensor unit to acquire data, an extraction unit to process data within a predetermined range, and a processing unit to execute calculations for precise position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If white lines are detected using LiDAR, then vehicle position can be estimated, but detection accuracy varies depending on the amount of LiDAR data which changes with white line type and condition
Solution Approach 1:
The patent applies dynamics by making the detection range adjustable rather than fixed. The extraction unit dynamically changes the range for extracting LiDAR data based on the estimated accuracy of the vehicle position. When accuracy is low, a larger range is used to capture more white line data; when accuracy is high, a smaller range suffices. This dynamic adaptation resolves the contradiction by allowing the system to maintain consistent detection accuracy across different white line conditions.
Solution Approach 2:
The patent changes the parameter of detection range based on the estimated position accuracy. The processing unit determines the appropriate range by considering the accuracy of vehicle position estimation, and the extraction unit adjusts the extraction range accordingly. This parameter change allows the system to adapt to varying white line conditions (continuous vs. broken, deteriorated vs. fresh) while maintaining stable detection accuracy.
2Measurement precision
If a fixed detection range is used for white lines, then the system is simple to operate, but detection accuracy deteriorates when the amount of LiDAR data varies
Solution Approach 1:
The patent implements feedback by using the estimated vehicle position accuracy to determine the appropriate detection range. The processing unit estimates the accuracy of vehicle position based on the extracted white line data, and this accuracy information feeds back to guide the extraction unit in adjusting the detection range for subsequent measurements. This feedback mechanism automatically adapts the system to varying conditions without requiring complex manual intervention.
Solution Approach 2:
The system performs self-adjustment by automatically determining the detection range based on its own estimated accuracy. The processing unit uses the accuracy of vehicle position estimation to self-determine the appropriate range, and the extraction unit automatically adjusts its extraction parameters accordingly. This self-service approach maintains high detection accuracy while avoiding the need for complex external control systems.
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
This approach stabilizes the accuracy of vehicle position estimation by dynamically adjusting the detection range according to the vehicle's position, improving detection accuracy regardless of the type or condition of white lines.
Implementation Method 1
a sensor unit (external sensor 12) for detecting a surrounding feature... Examples of the features used here include white lines, road signs and signboards
Data Source
AI summary
The above measurement device acquires output data from a sensor unit for detecting surrounding feature, and extracts, from the output data, data corresponding to detection result in a predetermined range in a predetermined positional relation with an own position. The predetermined range is determined in accordance with accuracy of the own position. Then, the measurement device executes predetermined processing based on the extracted data.