Attentional sampling for long range detection in autonomous vehicles
US12116008B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 10, 2021 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Sep 22, 2042 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2420/408
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for detecting objects near an autonomous vehicle (AV) are disclosed. An AV will capture an image. A trained network will process the image at a lower resolution and generate a first feature map that classifies object(s) within the image. The system will crop the image and use the network to process the cropped section at a higher resolution to generate a second feature map that classifies object(s) that appear within the cropped section. The system will crop the first feature map to match a corresponding region of the cropped section of the image. The system will fuse the cropped first and second feature maps to generate a third feature map. The system may output the object classifications in the third feature map to an AV system, such as a motion planning system that will use the object classifications to plan a trajectory for the AV.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.