Method and device for attention-driven resource allocation by using AVM and reinforcement learning to thereby achieve safety of autonomous driving
US10726279B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 10, 2020 |
| Grant date | Jul 28, 2020 |
| Priority date | — |
| Expiry date | Jan 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for achieving better performance in an autonomous driving while saving computing powers, by using confidence scores representing a credibility of an object detection which is generated in parallel with an object detection process is provided. And the method includes steps of: (a) a computing device acquiring at least one circumstance image on surroundings of a subject vehicle, through at least one panorama view sensor installed on the subject vehicle; (b) the computing device instructing a Convolutional Neural Network(CNN) to apply at least one CNN operation to the circumstance image, to thereby generate initial object information and initial confidence information on the circumstance image; and (c) the computing device generating final object information on the circumstance image by referring to the initial object information and the initial confidence information, with a support of an RL agent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.