Evaluating autonomous vehicle algorithms
US11030364B2 · kind B2 · utility
4Cited by
7References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Sep 12, 2018 |
| Grant date | Jun 8, 2021 |
| Priority date | — |
| Expiry date | Sep 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention extends to methods, systems, and computer program products for evaluating autonomous vehicle algorithms. Aspects use (e.g., supervised) machine learning techniques to analyze performance of autonomous vehicle algorithms on real world and simulated data. Machine learning techniques can be used to identify scenario features that are more likely to influence algorithm performance. Machine learning techniques can also be used to consolidate insights and automate the generation of relevant test cases over multiple iterations to identify error-prone scenarios.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.