Object detection neural network
US10733506B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2016 |
| Grant date | Aug 4, 2020 |
| Priority date | — |
| Expiry date | Nov 17, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating object predictions using a neural network. One of the methods includes receiving respective projections of a plurality of channels of input sensor data, wherein each channel of input sensor data represents different respective characteristics of electromagnetic radiation reflected off of one or more objects. Each of the projections of the plurality of channels of input sensor data are provided to a neural network subsystem trained to receive projections of input sensor data as input and to provide an object prediction as an output. At the output of the neural network subsystem, an object prediction that predicts a region of space that is likely to be occupied by an object is received.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.