Object detection and detection confidence suitable for autonomous driving
US12072442B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 22, 2021 |
| Grant date | Aug 27, 2024 |
| Priority date | — |
| Expiry date | Dec 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, detected object data representative of locations of detected objects in a field of view may be determined. One or more clusters of the detected objects may be generated based at least in part on the locations and features of the cluster may be determined for use as inputs to a machine learning model(s). A confidence score, computed by the machine learning model(s) based at least in part on the inputs, may be received, where the confidence score may be representative of a probability that the cluster corresponds to an object depicted at least partially in the field of view. Further examples provide approaches for determining ground truth data for training object detectors, such as for determining coverage values for ground truth objects using associated shapes, and for determining soft coverage values for ground truth objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.