Methods and systems for joint pose and shape estimation of objects from sensor data
US12223674B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2023 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Jun 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for jointly estimating a pose and a shape of an object perceived by an autonomous vehicle are described. The system includes data and program code collectively defining a neural network which has been trained to jointly estimate a pose and a shape of a plurality of objects from incomplete point cloud data. The neural network includes a trained shared encoder neural network, a trained pose decoder neural network, and a trained shape decoder neural network. The method includes receiving an incomplete point cloud representation of an object, inputting the point cloud data into the trained shared encoder, outputting a code representative of the point cloud data. The method also includes generating an estimated pose and shape of the object based on the code. The pose includes at least a heading or a translation and the shape includes a denser point cloud representation of the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.