Self-supervised global velocity determination for perception system
US12221115B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 29, 2022 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Apr 14, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2420/408
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for updating data operations in a perception system are discussed herein. A vehicle may use a perception system to capture data about an environment proximate to the vehicle. The perception system may output the data about the environment to a system configured to determine positions of objects relative to the perception system over time. The positions of the objects may be used to estimate an object velocity and may be compared against machine learning model outputs in a self-supervised manner to train the machine learning model to output object velocities based on inputs from the perception system. The output of the machine learning model may include a two-dimensional velocity for objects in the environment. The two-dimensional velocity may be used for a vehicle system such that the vehicle can make environmentally aware operational decisions, which may improve reaction time(s) and/or safety outcomes of the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.