Determining payload carrier volume using a neural network
US10832435B1 · kind B1 · utility
15Cited by
2References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 26, 2019 |
| Grant date | Nov 10, 2020 |
| Priority date | — |
| Expiry date | Apr 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for loading a payload carrier of a machine includes receiving, from a camera on the machine, a two-dimensional image of an interior of the payload carrier as material is loaded into the payload carrier. The method further includes sectioning the two-dimensional image into a plurality of regions, and determining, for individual of the regions, whether the region includes a representative of fill material. The method may also include determining a fill volume based on the regions having fill and those not having fill.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.