System and method for real world autonomous vehicle trajectory simulation
US10739775B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 28, 2017 |
| Grant date | Aug 11, 2020 |
| Priority date | — |
| Expiry date | Apr 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D2101/15
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A system and method for real world autonomous vehicle trajectory simulation are disclosed. A particular embodiment includes: receiving training data from a real world data collection system; obtaining ground truth data corresponding to the training data; performing a training phase to train a plurality of trajectory prediction models; and performing a simulation or operational phase to generate a vicinal scenario for each simulated vehicle in an iteration of a simulation, the vicinal scenarios corresponding to different locations, traffic patterns, or environmental conditions being simulated, provide vehicle intention data corresponding to a data representation of various types of simulated vehicle or driver intentions, generate a trajectory corresponding to perception data and the vehicle intention data, execute at least one of the plurality of trained trajectory prediction models to generate a distribution of predicted vehicle trajectories for each of a plurality of simulated vehicles of the simulation based on the vicinal scenario and the vehicle intention data, select at least one vehicle trajectory from the distribution based on pre-defined criteria, and update a state and tra…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.