Radar Reflection Energy Mapping for Target Angle Separation
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Solution Overview
Problem
Conventional radar data processing methods do not fully utilize the energy information in angular and range regions around the target angle, limiting the effectiveness of object detection, classification, and semantic or instance segmentation in automotive perception systems.
Innovation Solution
A computer-implemented method that determines the energy of radar reflections within a pre-determined angular region around the target angle, incorporating range and Doppler frequency information, and uses neural networks to process these energies as feature vectors for enhanced object detection and classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional radar data processing methods are used, then the processing complexity is low, but the object detection and classification performance is insufficient
Solution Approach 1:
The patent extends the processing from a single target angle to a three-dimensional angular region (azimuth and elevation dimensions) around the target. This dimensional expansion allows capturing energy distribution in multiple directions, providing richer spatial information for object detection and classification while maintaining manageable processing complexity through structured integration.
Solution Approach 2:
The patent divides the angular region into multiple discrete angular bins and processes energy in each bin separately before integration. This segmentation approach enables systematic handling of the expanded data dimension, allowing the system to manage the increased complexity through organized, modular processing steps while extracting comprehensive spatial energy information.
2Measurement precision
If only target angle energy is considered, then the processing is simple, but the distinction between targets with similar angles but different ranges or velocities is poor
Solution Approach 1:
The patent extracts energy information specifically from the angular region surrounding the target angle, separating this spatial energy distribution data from conventional single-angle processing. This extraction of angular region energy provides additional discriminative information that helps distinguish targets with similar angles but different ranges or velocities, preventing information loss while maintaining processing efficiency.
3Loss of information
If energy in pre-determined angular region is determined, then the information content is improved, but the data processing complexity increases
Solution Approach 1:
The patent combines energy measurements from multiple angular bins within the angular region into an integrated energy distribution representation. This merging process consolidates the increased data from expanded angular coverage into a coherent structure that enriches information content while managing processing complexity through systematic integration rather than handling each angular bin independently.
Data Source
AI summary
A computer implemented method for processing radar reflections includes receiving radar reflections by at least one radar sensor; determining a target angle under which radar reflections related to a potential target are received by the at least one radar sensor; and determining an energy of radar reflections received by the at least one radar sensor under a pre-determined angular region around the target angle.