- Patent Title: Method of effective driving behavior extraction using deep learning
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Application No.: US15332407Application Date: 2016-10-24
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Publication No.: US10198693B2Publication Date: 2019-02-05
- Inventor: Wei Shan Dong , Peng Gao , Jian Li , Chang Sheng Li , Wen Han Luo , Chun Yang Ma , Renjie Yao , Ting Yuan , Jun Zhu
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, P.C.
- Agent Vazken Alexanian
- Main IPC: G06N3/08
- IPC: G06N3/08 ; B60W40/08 ; B60W50/06 ; G01S19/42 ; G01S19/14 ; G06N3/04

Abstract:
Systems and methods for obtaining vehicle operational data and driving context data from one or more monitoring systems, including converting the obtained vehicle operational data and driving context data into sequential vehicle operational feature data and sequential driving context feature data, calibrating the sequential vehicle operational feature data and the sequential driving context feature data temporally to form calibrated sequential vehicle operational feature data and calibrated sequential driving context feature data, constructing a sequence table of temporal sample points based on the calibrated sequential vehicle operational feature data and the calibrated sequential driving context feature data, feeding the sequence table into a deep neural network model for applying network learning to form a trained deep neural network model, extracting driving behavior features from the trained deep neural network model and analyzing the extracted driving behavior features to determine driving behavior characteristics of the driver.
Public/Granted literature
- US20180113458A1 METHOD OF EFFECTIVE DRIVING BEHAVIOR EXTRACTION USING DEEP LEARNING Public/Granted day:2018-04-26
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