Method and device for optimized resource allocation in autonomous driving on the basis of reinforcement learning using data from lidar, radar, and camera sensor
US10503174B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 31, 2019 |
| Grant date | Dec 10, 2019 |
| Priority date | — |
| Expiry date | Jan 31, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30261
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for efficient resource allocation in autonomous driving by reinforcement learning is provided for reducing computation via a heterogeneous sensor fusion. This attention-based method includes steps of: a computing device instructing an attention network to perform a neural network operation by referring to attention sensor data, to calculate attention scores; instructing a detection network to acquire video data by referring to the attention scores and to generate decision data for the autonomous driving; instructing a drive network to operate the autonomous vehicle by referring to the decision data, to acquire circumstance data, and to generate a reward by referring to the circumstance data; and instructing the attention network to adjust parameters used for the neural network operation by referring to the reward. Thus, a virtual space where the autonomous vehicle optimizes the resource allocation can be provided by the method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.