Object detection neural networks
US11720799B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2021 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Aug 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/103
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating object detection predictions from a neural network. In some implementations, an input characterizing a first region of an environment is obtained. The input includes a projected laser image generated from a three-dimensional laser sensor reading of the first region, a camera image patch generated from a camera image of the first region, and a feature vector of features characterizing the first region. The input is processed using a high precision object detection neural network to generate a respective object score for each object category in a first set of one or more object categories. Each object score represents a respective likelihood that an object belonging to the object category is located in the first region of the environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.