Operation of a vehicle using motion planning with machine learning
US12019450B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 4, 2022 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Apr 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S17/931
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Techniques for operation of a vehicle using machine learning with motion planning include storing, using one or more processors of a vehicle located within an environment, a plurality of constraints for operating the vehicle within the environment. One or more sensors of the vehicle receive sensor data describing the environment. The one or more processors extract a feature vector from the stored plurality of constraints and the received sensor data. The feature vector includes a first feature describing an object located within the environment. A machine learning circuit of the vehicle is used to generate a first motion segment based on the feature vector. A number of violations of the stored plurality of constraints is below a threshold. The one or more processors operate the vehicle in accordance with the generated first motion segment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.