Systems and methods for sensor data processing and object detection and motion prediction for robotic platforms
US12259694B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2024 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | May 6, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are disclosed for detecting and predicting the motion of objects within the surrounding environment of a system such as an autonomous vehicle. For example, an autonomous vehicle can obtain sensor data from a plurality of sensors comprising at least two different sensor modalities (e.g., RADAR, LIDAR, camera) and fused together to create a fused sensor sample. The fused sensor sample can then be provided as input to a machine learning model (e.g., a machine learning model for object detection and/or motion prediction). The machine learning model can have been trained by independently applying sensor dropout to the at least two different sensor modalities. Outputs received from the machine learning model in response to receipt of the fused sensor samples are characterized by improved generalization performance over multiple sensor modalities, thus yielding improved performance in detecting objects and predicting their future locations, as well as improved navigation performance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.