Physics modeling for radar and ultrasonic sensors
US10592805B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2016 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Sep 22, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning module may generate a probability distribution from training data including labeled modeling data correlated with reflection data. Modeling data may include data from a LIDAR system, camera, and/or a GPS for a target environment/object. Reflection data may be collected from the same environment/object by a radar and/or an ultrasonic system. The probability distribution may assign reflection coefficients for radar and/or ultrasonic systems conditioned on values for modeling data. A mapping module may create a reflection model to overlay a virtual environment assembled from a second set of modeling data by applying the second set to the probability distribution to assign reflection values to surfaces within the virtual environment. Additionally, a test bench may evaluate an algorithm, for processing reflection data to generate control signals to an autonomous vehicle, with simulated reflection data from a virtual sensor engaging reflection values assigned within the virtual environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.