Adaptive region-based object sampling for object detection
US12354334B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 17, 2023 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Oct 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and techniques are described herein for training an object-detection model. For instance, a method for training an object-detection model is provided. The method may include obtaining a light detection and ranging (LIDAR) capture; obtaining a first LIDAR-based representation of an object as captured from a first distance; obtaining a second LIDAR-based representation of the object as captured from a second distance; augmenting the LIDAR capture using the first LIDAR-based representation of the object and the second LIDAR-based representation of the object to generate an augmented LIDAR capture; and training a machine-learning object-detection model using the augmented LIDAR capture.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.