Deeply integrated fusion architecture for automated driving systems
US10395144B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2017 |
| Grant date | Aug 27, 2019 |
| Priority date | — |
| Expiry date | Nov 30, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D1/0231
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus are provided for controlling an autonomous vehicle. A sensor fusion system with a sensor system for providing environment condition information and a convolutional neural network (CNN) is provided. The CNN includes a receiving interface configured to receive the environment condition information from the sensor system, a common convolutional layer configured to extract traffic information from the received environment condition information, and a plurality of fully connected layers configured to detect objects belonging to different object classes based on the extracted traffic information, wherein the object classes include at least one of a road feature class, a static object class, and a dynamic object class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.