Machine learned interaction prediction from top-down representation
US12060082B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2020 |
| Grant date | Aug 13, 2024 |
| Priority date | — |
| Expiry date | Jun 23, 2042 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/45
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are discussed for interaction probabilities associated with regions of an environment around a vehicle. An interaction probability of a region may indicate a likelihood an object positioned at the region will interact with the vehicle. A top-down multi-channel image representing a top-down view of the environment and objects therein may be generated and input to a machine learned (ML) model. The ML model may output a probability map, a portion of the probability map comprising a region and an interaction probability associated with the region that indicates a likelihood objects positioned at the region will interact with the vehicle. A priority for resource assignment or analysis may be determined based on the interaction probability for an object positioned in the region. Control of the vehicle may be performed based at least in part on the priority for resource assignment or analysis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.