FUZZY LABELING OF LOW-LEVEL DATA FROM AN ELECTROMAGNETIC SENSOR
Patent Information
- Application Number
- DE602022019299
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2022-04-05
- Filing Date
- 2022-09-26
- Publication Date
- 2025-08-13
- Estimated Expiration
- 2042-09-26
AI Technical Summary
Automotive electromagnetic sensors lack sufficient high-quality labeled data, restricting the range of supervised learning tools available for electromagnetic sensor data processing, particularly due to challenges in segmenting and labeling radar data with geometric boundaries and spectrum smearing.
A fuzzy labeling system for radar data that segments and labels objects in the radar signal space, using low-level radar data to harness in-depth information from the energy distribution across range, range rate, azimuth, and elevation, enabling localization and segmentation of objects, and reducing false positives.
The fuzzy labeling system maximizes information extraction from radar signals, reduces false positives, and allows the model to adapt to different driving scenarios while maintaining performance, making it efficient for automotive applications with limited computing resources.