Predicting occupancy of objects in occluded regions
US12271204B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 27, 2020 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Nov 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D2111/10
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Techniques are discussed for predicting an occupancy of visible region of an environment. For instance, a vehicle may generate sensor data representing an environment. The vehicle may then analyze the sensor data to determine an occluded region of the environment a visible region of the environment. Additionally, the vehicle may determine at least one prediction probability associated with occupancy of the visible region over a future period of time. In some instances, the vehicle determines the at least one prediction probability by inputting data representing at least the occluded region and the visible region into a machine learned model and receiving the at least one prediction probability from the machine learned model. Using the at least one prediction probability, the vehicle may then determine and perform one or more actions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.