Dynamic object detection model based on static map collection data
US11170567B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2019 |
| Grant date | Nov 9, 2021 |
| Priority date | — |
| Expiry date | Jun 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and non-transitory computer-readable media can obtain information describing a static map of a geographic location, wherein the static map is determined based at least in part on a plurality of three-dimensional representations of the geographic location captured by one or more sensors of one or more vehicles. At least one training example that includes visual features and a corresponding label can be generated based on an unsupervised process for generating training examples, wherein the visual features are extracted based on the static map and at least one three-dimensional representation of the geographic location. At least one machine learning model can be trained to distinguish between static objects and non-static objects in visual data based on the at least one training example, wherein the at least one machine learning model is trained based on an unsupervised learning process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.