Division Line Recognition Using Variable-Density Electromagnetic Scanning
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Solution Overview
Problem
Existing division line recognition systems face high processing loads and increased device scale due to dense electromagnetic wave irradiation for point cloud data acquisition, especially in environments with numerous objects, leading to inefficiencies and potential recognition accuracy degradation.
Innovation Solution
The system intermittently irradiates electromagnetic waves in a band-shaped pattern along the vehicle's travel direction, setting a first area with predetermined density and reducing irradiation points in other areas, ensuring seamless data connection and maintaining recognition accuracy without increasing device complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dense electromagnetic wave irradiation is performed to acquire point cloud data, then measurement precision is improved, but processing load increases
Solution Approach 1:
The patent segments the irradiation area into multiple regions (first area with higher density and second area with lower density) along the vehicle's traveling direction. This segmentation allows the system to concentrate irradiation points where division lines are most likely to be detected while reducing points in areas where division lines are less likely to appear, thereby maintaining recognition accuracy while reducing overall processing load.
Solution Approach 2:
The patent applies local quality by setting different irradiation point densities in different spatial regions. The first area (closer to the vehicle) uses a first density of irradiation points, while the second area (farther from the vehicle) uses a second density that is lower than the first density. This local differentiation optimizes the balance between measurement precision and processing efficiency.
2Measurement precision
If dense electromagnetic wave irradiation is performed to acquire point cloud data, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the irradiation area into multiple regions (first area with higher density and second area with lower density) along the vehicle's traveling direction. This segmentation allows the system to concentrate irradiation points where division lines are most likely to be detected while reducing points in areas where division lines are less likely to appear, thereby maintaining recognition accuracy while reducing overall processing load.
Solution Approach 2:
The patent applies local quality by setting different irradiation point densities in different spatial regions. The first area (closer to the vehicle) uses a first density of irradiation points, while the second area (farther from the vehicle) uses a second density that is lower than the first density. This local differentiation optimizes the balance between measurement precision and processing efficiency.
3Productivity
If intermittent irradiation with reduced points is performed, then processing load is reduced, but measurement precision may degrade
Solution Approach 1:
The patent segments the irradiation area into multiple regions (first area with higher density and second area with lower density) along the vehicle's traveling direction. This segmentation allows the system to concentrate irradiation points where division lines are most likely to be detected while reducing points in areas where division lines are less likely to appear, thereby maintaining recognition accuracy while reducing overall processing load.
Solution Approach 2:
The patent applies local quality by setting different irradiation point densities in different spatial regions. The first area (closer to the vehicle) uses a first density of irradiation points, while the second area (farther from the vehicle) uses a second density that is lower than the first density. This local differentiation optimizes the balance between measurement precision and processing efficiency.
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 reduces the number of irradiation points while maintaining recognition accuracy, thereby alleviating processing loads and device scale issues, enabling efficient division line detection in self-driving vehicles.
Implementation Method 1
an in-vehicle detection unit irradiating a surrounding of a subject vehicle with an electromagnetic wave to detect an exterior environment situation in the surrounding
Data Source
AI summary
A division line recognition apparatus including: a microprocessor and a memory coupled to the microprocessor; and an in-vehicle detection unit irradiating a surrounding of a subject vehicle with an electromagnetic wave to detect an exterior environment situation in the surrounding. The microprocessor is configured to perform recognizing information indicating a division line in a first area separated from the subject vehicle on a road by a predetermined distance based on information detected by the in-vehicle detection unit at different positions on the road while the subject vehicle is traveling on the road; and mapping the information indicating the division line recognized in the recognizing, based on a traveling direction and a driving speed of the subject vehicle.