System and method for training a neural network to perform object detection using lidar sensors and radar sensors
US12248093B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jun 6, 2022 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Jun 23, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/58
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method includes generating a radar-based intensity map and a lidar-based intensity map and performing one or more augmentation routines on the radar-based intensity map and the lidar-based intensity map to generate a radar input and a lidar input. The method includes generating a plurality of teacher-based bounding boxes and a plurality of student-based bounding boxes based on the radar input and the lidar input. The method includes determining a loss value of the plurality of student-based bounding boxes based on the plurality of teacher-based bounding boxes and a plurality of ground truth bounding boxes, updating one or more weights of the student neural network based on the loss value, and updating one or more weights of the teacher neural network based on a moving average associated with the one or more weights of the student neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.