Vehicle Radar Target Angle Determination Using Segmented Resolution Algorithms
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Solution Overview
Problem
Radar systems used in vehicle control face challenges in accurately determining target angles due to the trade-off between high-resolution algorithms, which provide accurate but computationally intensive calculations, and low-resolution algorithms, which reduce accuracy but decrease calculation load.
Innovation Solution
An apparatus and method that selectively apply high-resolution and low-resolution algorithms for target angle determination based on driving information, using a first angle determiner, driving route determiner, second group target determiner, and second angle determiner to efficiently calculate target angles by categorizing targets into groups based on their relevance to the vehicle's possible driving route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high-resolution algorithm is used for target angle analysis, then the accuracy of angle information is improved, but the calculation amount is increased
Solution Approach 1:
The patent segments targets into two groups: first group targets (excluding those on the driving route) and second group targets (on the driving route). Different resolution algorithms are applied to different segments, reducing overall calculation while maintaining accuracy for critical targets.
Solution Approach 2:
The patent applies different quality levels of angle calculation to different spatial regions. High-resolution algorithms are applied locally to targets on the driving route where accuracy is critical, while low-resolution algorithms are used for other targets, optimizing the trade-off between accuracy and computation.
2Device complexity
If a low-resolution algorithm is used for target angle analysis, then the calculation amount is reduced, but the accuracy of target angle is decreased
Solution Approach 1:
The patent segments targets into two groups: first group targets (excluding those on the driving route) and second group targets (on the driving route). Different resolution algorithms are applied to different segments, reducing overall calculation while maintaining accuracy for critical targets.
Solution Approach 2:
The patent applies different quality levels of angle calculation to different spatial regions. High-resolution algorithms are applied locally to targets on the driving route where accuracy is critical, while low-resolution algorithms are used for other targets, optimizing the trade-off between accuracy and computation.
3Measurement precision
If high-resolution algorithms are applied to all targets, then the accuracy of all target angles is improved, but the system load is increased
Solution Approach 1:
The patent segments targets into two groups: first group targets (excluding those on the driving route) and second group targets (on the driving route). Different resolution algorithms are applied to different segments, reducing overall calculation while maintaining accuracy for critical targets.
Solution Approach 2:
The patent applies different quality levels of angle calculation to different spatial regions. High-resolution algorithms are applied locally to targets on the driving route where accuracy is critical, while low-resolution algorithms are used for other targets, optimizing the trade-off between accuracy and computation.
Data Source
AI summary
The present disclosure relates to an apparatus and method for determining the angle of the target detected by the radar of the vehicle. The target angle determination apparatus may be configured to calculate a first angle of the first group target included in the radar data by using the first angle calculation algorithm with the low resolution, to determine a part of the first group target and the second group target based on the possible driving route of the host vehicle, and to calculate the second angle of the second angle target selected from the first group target by using the second angle calculation algorithm with the high resolution based on the possible driving route of the host vehicle, so that it is possible to minimize unnecessary calculation operations and reduce the system load.


