Trajectory value learning for autonomous systems
US12415540B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 7, 2023 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | Jan 9, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
Trajectory value learning for autonomous systems includes generating an environment image from sensor input and processing the environment image through an image neural network to obtain a feature map. Trajectory value learning further includes sampling possible trajectories to obtain a candidate trajectory for an autonomous system, extracting, from the feature map, feature vectors corresponding to the candidate trajectory, combining the feature vectors into the input vector, and processing, by a score neural network model, the input vector to obtain a projected score for the candidate trajectory. Trajectory value learning further includes selecting, from the candidate trajectories, the candidate trajectory as a selected trajectory based on the projected score, and implementing the selected trajectory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.