Evaluation framework for predicted trajectories in autonomous driving vehicle traffic prediction
US11545033B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 22, 2017 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Jun 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D1/021
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to one embodiment, when a predicted trajectory is received, a set of one or more features are extracted from at least some of the trajectory points of the predicted trajectory. The predicted trajectory is predicted using a prediction method or algorithm based on perception data perceiving an object within a driving environment surrounding an autonomous driving vehicle (ADV). The extracted features are fed into a predetermined DNN model to generate a similarity score. The similarity score represents a difference or similarity between the predicted trajectory and a prior actual trajectory that was used to train the DNN model. The similarity score can be utilized to evaluate the prediction method that predicted the predicted trajectory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.