Invention Grant
- Patent Title: Deep learning model used for driving behavior recognition and training apparatus and method thereof
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Application No.: US16730481Application Date: 2019-12-30
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Publication No.: US11244180B2Publication Date: 2022-02-08
- Inventor: Rui Yin , Zhiming Tan
- Applicant: FUJITSU LIMITED
- Applicant Address: JP Kawasaki
- Assignee: FUJITSU LIMITED
- Current Assignee: FUJITSU LIMITED
- Current Assignee Address: JP Kawasaki
- Agency: Staas & Halsey, LLP
- Priority: CN201910073206.X 20190125
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06N3/04 ; G06N3/08

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.
Public/Granted literature
- US20200242382A1 DEEP LEARNING MODEL USED FOR DRIVING BEHAVIOR RECOGNITION AND TRAINING APPARATUS AND METHOD THEREOF Public/Granted day:2020-07-30
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