Neural networks for vehicle trajectory planning
US10883844B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2017 |
| Grant date | Jan 5, 2021 |
| Priority date | — |
| Expiry date | Mar 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, devices, and other techniques for planning a trajectory of a vehicle. A computing system can implement a trajectory planning neural network configured to, at each time step of multiple time steps: obtain a first neural network input and a second neural network input. The first neural network input can characterize a set of waypoints indicated by the waypoint data, and the second neural network input can characterize (a) environmental data that represents a current state of an environment of the vehicle and (b) navigation data that represents a planned navigation route for the vehicle. The trajectory planning neural network may process the first neural network input and the second neural network input to generate a set of output scores, where each output score in the set of output scores corresponds to a different location of a set of possible locations in a vicinity of the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.