Neural networks for vehicle trajectory planning
US11256983B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2017 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | Jan 5, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S2013/9323
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, devices, and other techniques for training a trajectory planning neural network system to determine waypoints for trajectories of vehicles. A neural network training system can train the trajectory planning neural network system on the multiple training data sets. Each training data set can include: (i) a first training input that characterizes a set of waypoints that represent respective locations of a vehicle at each of a series of first time steps, (ii) a second training input that characterizes at least one of (a) environmental data that represents a current state of an environment of the vehicle or (b) navigation data that represents a planned navigation route for the vehicle, and (iii) a target output characterizing a waypoint that represents a target location of the vehicle at a second time step that follows the series of first time steps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.