Deep learning for object detection using pillars
US12061266B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 11, 2022 |
| Grant date | Aug 13, 2024 |
| Priority date | — |
| Expiry date | Nov 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/12
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Among other things, we describe techniques for detecting objects in the environment surrounding a vehicle. A computer system is configured to receive a set of measurements from a sensor of a vehicle. The set of measurements includes a plurality of data points that represent a plurality of objects in a 3D space surrounding the vehicle. The system divides the 3D space into a plurality of pillars. The system then assigns each data point of the plurality of data points to a pillar in the plurality of pillars. The system generates a pseudo-image based on the plurality of pillars. The pseudo-image includes, for each pillar of the plurality of pillars, a corresponding feature representation of data points assigned to the pillar. The system detects the plurality of objects based on an analysis of the pseudo-image. The system then operates the vehicle based upon the detecting of the objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.