Prediction on top-down scenes based on action data
US11631200B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2021 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Oct 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Techniques for determining predictions on a top-down representation of an environment based on vehicle action(s) are discussed herein. Sensors of a first vehicle (such as an autonomous vehicle) can capture sensor data of an environment, which may include object(s) separate from the first vehicle (e.g., a vehicle or a pedestrian). A multi-channel image representing a top-down view of the object(s) and the environment can be generated based on the sensor data, map data, and/or action data. Environmental data (object extents, velocities, lane positions, crosswalks, etc.) can be encoded in the image. Action data can represent a target lane, trajectory, etc. of the first vehicle. Multiple images can be generated representing the environment over time and input into a prediction system configured to output prediction probabilities associated with possible locations of the object(s) in the future, which may be based on the actions of the autonomous vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.