METHOD OF EFFECTIVE DRIVING BEHAVIOR EXTRACTION USING DEEP LEARNING

Patent №

US 10,198,693

Granted

2019-02-05

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15332407

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.

Machine learningNatural languageVisionPlanningAI hardwareG06V 20/597B60W 40/08B60W 50/06G01S 19/42G06N 3/0464B60W 2556/10G01S 19/14G06N 3/045

AI classification

Machine learning1.00
Vision1.00
AI hardware0.99
Natural language0.87
Planning0.87
Knowledge representation0.30
Speech0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 401030773

Assignors

DONG, WEI SHAN, GAO, PENG, LI, JIAN, LI, CHANG SHENG, LUO, WEN HAN, MA, CHUN YANG, YAO, RENJIE, YUAN, TING, ZHU, JUN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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