Intelligent driving test method with corner cases dynamically completed based on human feedback
US12013671B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2023 |
| Grant date | Jun 18, 2024 |
| Priority date | — |
| Expiry date | Dec 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F30/27
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is an intelligent driving test method with corner cases dynamically completed based on human feedback, including the following steps: obtaining an initial state of a real environment; building an original scene driver based on reinforcement learning, and correcting behavior selection to obtain an exploratory behavior; testing in a testing environment, performing expert evaluation, and building a dynamic corner case completion library based on the human feedback; building an imitation learning driver based on the human feedback, updating a policy based on test data in the dynamic corner case completion library, training the imitation learning driver, and outputting a corner case reproduction behavior; obtaining the initial state of the real environment and an initial environmental state of the dynamic corner case completion library, and selecting a scene driver; and outputting a corresponding behavior, and testing in the testing environment based on the corresponding behavior to obtain a test result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.