Systems and methods for hybrid prediction framework with inductive bias
US11577759B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2020 |
| Grant date | Feb 14, 2023 |
| Priority date | — |
| Expiry date | Jan 29, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/10
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
Systems and methods are provided for implementing hybrid prediction. Hybrid prediction integrates two deep learning based trajectory prediction approaches: grid-based approaches and graph-based approaches. Hybrid prediction techniques can achieve enhanced performance by combining the grid and graph approaches in a manner that incorporates appropriate inductive biases for different elements of a high-dimensional space. A hybrid prediction framework processor can generate trajectory predictions relating to movement of agents in a surrounding environment based on a prediction model generating using hybrid prediction. Trajectory predictions output from the hybrid prediction framework processor can be used to control an autonomous vehicle. For example, the autonomous vehicle can perform safety-aware and autonomous operations to avoid oncoming objects, based on the trajectory predictions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.