End-to-end object tracking using neural networks with attention
US12175767B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 7, 2022 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Nov 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The described aspects and implementations enable efficient calibration of a sensing system of a vehicle. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to obtain a plurality of images associated with a corresponding time of a plurality of times. The system further includes a data processing system operatively coupled to the sensing system and configured to generate a plurality of sets of feature tensors (FTs) associated with one or more objects of the environment depicted in a respective image. The data processing system is further to obtain a combined FT and process the combined FT using a neural network to identify one or more tracks characterizing motion of a respective object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.