Patent · US Active

Deep learning model used for driving behavior recognition and training apparatus and method thereof

US11244180B2 · kind B2 · utility

0Cited by

0References

8Claims

0Family size

Assignee

FUJITSU LIMITED · JP

Inventors

Rui Yin · Hangzhou City, CN
Zhiming Tan · Beijing, CN

Key dates

Filing date	Dec 30, 2019
Grant date	Feb 8, 2022
Priority date	—
Expiry date	Apr 10, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06V20/597
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Embodiments of this disclosure provide a deep learning model used for driving behavior recognition and training apparatus and method thereof. In recognition, the model performs feature extraction by using a plurality of consecutive input images captured from a driving angle of view of a vehicle, and performs temporal and spatial fusion on extracted features by using a recursive neural network. In training, as images captured from a driving angle of view of a vehicle are acquired, the model may be trained. Hence, the model may accurately recognize various classes of driving behaviors.

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