Dynamic model evaluation package for autonomous driving vehicles
US12139173B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2021 |
| Grant date | Nov 12, 2024 |
| Priority date | — |
| Expiry date | Sep 16, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2420/408
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are performance metrics for evaluating the accuracy of a dynamic model in predicting the trajectory of ADV when simulating the behavior of the ADV under the control commands. The performance metrics may indicate the degree of similarity between the predicted trajectory of the dynamic model and the actual trajectory of the vehicle when applied with identical control commands. The performance metrics measure deviations of the predicted trajectory of the dynamic model from the actual trajectory based on the ground truths. The performance metrics may include cumulative or mean absolute trajectory error, end-pose difference (ED), two-sigma defect rate (ε2σ), the Hausdirff Distance (HAU), the longest common sub-sequence error (LCSS), or dynamic time warping (DTW). The two-sigma defect rate represents the ratio of the number of points with true location error falling out of the 2σ range of the predicted location error over the total number of points in the trajectory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.