Machine-learned cost estimation in tree search trajectory generation for vehicle control
US12311981B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2022 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Jul 13, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/40
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A machine-learned architecture for estimating the cost determined by a cost function for a prediction node of a tree search for exploring potential paths for controlling a vehicle may include two portions: a set up portion that includes models trained to process static data and a second portion that processes dynamic object data. The respective portions of the architecture may comprise various models that determine intermediate outputs that may be projected into a space associated with estimated cost. That estimated cost may identify an estimate of an output of the cost function for paths that are based on a particular prediction node of the tree search.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.