Radar ROI Steering for Local Range Resolution Adjustment
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Solution Overview
Problem
Existing radar data processing systems face challenges in achieving high resolving power while minimizing computational complexity and processing time, particularly in advanced driver assistance systems (ADAS), which affects the accuracy and efficiency of object detection and mapping.
Innovation Solution
A method and device for locally adjusting the range resolving power by focusing on regions of interest (ROI) using a reduced number of candidate steering vectors, optimizing the distribution of resolving power within the radar data processing device to enhance accuracy and reduce computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolving power is maintained across all ranges, then object detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies local quality by adjusting the range resolving power differently across various distance ranges. Specifically, it decreases the range resolving power for far ranges while maintaining or minimally adjusting it for near ranges, where objects are more critical for ADAS applications. This localized adjustment reduces overall computational complexity while preserving detection accuracy for important regions.
Solution Approach 2:
The patent segments the radar detection range into multiple zones (near range, mid range, far range) and applies different resolving power adjustments to each segment. This segmentation allows the system to optimize computational resources by applying coarser resolution to distant objects and finer resolution to nearby objects, resolving the contradiction between overall accuracy and computational load.
2Measurement precision
If high resolving power is maintained across all ranges, then object detection accuracy is improved, but processing time increases
Solution Approach 1:
By applying local quality adjustments to range resolving power, the patent reduces processing time for far-range data while maintaining adequate resolution. The system processes near-range data with higher resolving power (shorter processing time per object due to fewer objects) and far-range data with lower resolving power (reduced computational burden), thereby reducing overall processing time while maintaining detection accuracy for critical nearby objects.
3Ease of operation
If uniform resolving power is applied across all ranges, then processing simplicity is maintained, but accuracy in dynamic environments deteriorates
Solution Approach 1:
The patent introduces dynamic adjustment of range resolving power based on detected objects and environmental conditions. The system automatically adjusts the resolving power for different ranges depending on the presence and importance of objects in those ranges, making the processing adaptive rather than static. This dynamic approach maintains processing simplicity through automated rules while significantly improving accuracy in dynamic ADAS environments.
Data Source
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AI summary
A radar data processing device and method is provided. The method generates a radar image map, predicts a region of interest (ROI) based on the generated radar image map, senses radar data with a radar sensor, identifies the sensed radar data based on steering information, adjusts the steering information based on the predicted ROI, and determines direction-of-arrival (DoA) information corresponding to the sensed radar data based on the adjusted steering information. The radar data processing device may locally adjust at least one of a range resolving power, an angular resolving power, or a Doppler velocity resolving power based on the ROI predicted based on a radar image map, and generate an accurate radar data processing result of a major region.