Patent · US Active

System and method for estimating vehicular motion based on monocular video data

US10068140B2 · kind B2 · utility

3Cited by

1References

11Claims

0Family size

Assignees

Bayerische Motoren Werke Aktiengesellschaft · DE
Nauto, Inc. · US

Inventors

Ludmila Levkova · Brooklyn, US
Koyel Banerjee · Mountain View, US

Key dates

Filing date	Dec 2, 2016
Grant date	Sep 4, 2018
Priority date	—
Expiry date	Feb 10, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30252
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A vehicle movement parameter, such as ego-speed, is estimated using real-time images captured by a single camera. The captured images may be analyzed by a pre-trained convolutional neural network to estimate vehicle movement based on monocular video data. The convolutional neural network may be pre-trained using filters from a synchrony autoencoder that were trained using unlabeled video data captured by the vehicle's camera while the vehicle was in motion. A parameter corresponding to the estimated vehicle movement may be output to the driver or to a driver assistance system for use in controlling the vehicle.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.