Methods and systems for predicting a trajectory of a road agent based on an intermediate space
US11443184B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2019 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Apr 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01C21/3407
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An embodiment takes the form of a prediction system that obtains a respective indicated similarity of trajectories in each of a plurality of combinations of observed vehicle trajectories. The prediction system, for each of the combinations, calculates a distance between respective intermediate representations, generated by a neural network, of the trajectories in the combination, and performs a training of the neural network based on a calculated loss between the distance and the indicated similarity of the trajectories in the combination. The respective calculated losses converge after performing respective trainings for the combinations. The prediction system creates an intermediate space of respective intermediate representations, generated by the neural network, of observed vehicle trajectories, and predicts a trajectory of a road agent based on a distance between a given intermediate representation in the intermediate space and an intermediate representation of an observed trajectory of the road agent generated by the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.