Particle-based hazard detection for autonomous machine
US12235353B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 10, 2021 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Mar 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S2013/9323
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In various examples, a hazard detection system fuses outputs from multiple sensors over time to determine a probability that a stationary object or hazard exists at a location. The system may then use sensor data to calculate a detection bounding shape for detected objects and, using the bounding shape, may generate a set of particles, each including a confidence value that an object exists at a corresponding location. The system may then capture additional sensor data by one or more sensors of the ego-machine that are different from those used to capture the first sensor data. To improve the accuracy of the confidences of the particles, the system may determine a correspondence between the first sensor data and the additional sensor data (e.g., depth sensor data), which may be used to filter out a portion of the particles and improve the depth predictions corresponding to the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.