The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 17, 2020

Filed:

Jul. 12, 2017
Applicant:

Futurewei Technologies, Inc., Plano, TX (US);

Inventors:

Yingxuan Zhu, Cambridge, MA (US);

Lifeng Liu, Sudbury, MA (US);

Xiaotian Yin, Belmont, MA (US);

Jun Zhang, Cambridge, MA (US);

Jian Li, Austin, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); B60K 28/02 (2006.01); B60W 40/08 (2012.01); B60W 50/14 (2020.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6293 (2013.01); B60K 28/02 (2013.01); B60W 40/08 (2013.01); B60W 50/14 (2013.01); G05D 1/0061 (2013.01); G06K 9/00302 (2013.01); G06K 9/00832 (2013.01); G06K 9/00845 (2013.01); G06K 9/4628 (2013.01); G06K 9/6274 (2013.01); G06K 9/6288 (2013.01); G06K 9/6289 (2013.01); B60W 2040/0827 (2013.01); B60W 2040/0836 (2013.01); B60W 2420/42 (2013.01); B60Y 2302/03 (2013.01); B60Y 2400/90 (2013.01); G05D 1/0088 (2013.01); G05D 2201/02 (2013.01); G06K 9/6277 (2013.01); G06K 2009/00328 (2013.01); G06K 2209/03 (2013.01); G06T 2207/30268 (2013.01);
Abstract

Methods, apparatus, and systems are provided for integrated driver expression recognition and vehicle interior environment classification to detect driver condition for safety. A method includes obtaining an image of a driver of a vehicle and an image of an interior environment of the vehicle. Using a machine learning method, the images are processed to classify a condition of the driver and of the interior environment of the vehicle. The machine learning method includes general convolutional neural network (CNN) and CNN with adaptive filters. The adaptive filters are determined based on influence of filters. The classification results are combined and compared with predetermined thresholds to determine if a decision can be made based on existing information. Additional information is requested by self-motivated learning if a decision cannot be made, and safety is determined based on the combined classification results. A warning is provided to the driver based on the safety determination.


Find Patent Forward Citations

Loading…