Systems and methods for utilizing machine learning models to reconstruct a vehicle accident scene from video
US11798281B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 30, 2022 |
| Grant date | Oct 24, 2023 |
| Priority date | — |
| Expiry date | Jun 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device may receive, from a first vehicle, video data for video captured of a location associated with an accident for a second vehicle, and may process the video data, with a first model, to generate a sparse point cloud of the location associated with the accident. The device may process the video data, with a second model, to generate depth maps for frames of the video data, and may utilize the depth maps with the sparse point cloud to generate a dense point cloud. The device may process the video data, with a third model, to generate a dense semantic point cloud, and may process the dense semantic point cloud, with a fourth model, to determine a dense semantic overhead view of the location associated with the accident. The device may perform actions based on the dense semantic overhead view.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.