Decision making for autonomous vehicle motion control
US10769525B2 · kind B2 · utility
55Cited by
1References
20Claims
0Family size
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Key dates
| Filing date | Sep 22, 2017 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Mar 6, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A behavior planner for a vehicle generates a plurality of conditional action sequences of the vehicle using a tree search algorithm and heuristics obtained from one or more machine learning models. Each sequence corresponds to a sequence of anticipated states of the vehicle. At least some of the action sequences are provided to a motion selector of the vehicle. The motion selector generates motion-control directives based on the received conditional action sequences and on data received from one or more sensors of the vehicle, and transmits the directives to control subsystems of the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.