Distributional expert demonstrations for autonomous driving
US12269507B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 17, 2022 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Apr 27, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2555/60
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
The present disclosure provides methods and techniques for evaluating and improving algorithms for autonomous driving planning and control (PNC), using one or more metrics (e.g., similarity scores) computed based on expert demonstrations. For example, the one or more metrics allow for improving PNC based on human, as opposed to or in addition to optimizing certain oversimplified properties, such as the least distance or time, as an objective. When driving in certain scenarios, such as taking a turn, people may drive in a distributed probability pattern instead of in a uniform line (e.g., different speeds and different curvatures at the same corner). As such, there can be more than one “correct” control trajectory for an autonomous vehicle to perform in the same turn. Safety, comfort, speeds, and other criteria may lead to different preferences and judgment as to how well the controlled trajectory has been computed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.