Acquisition of Association Rules between a Situation and an Operation of Driving Behavior by using Time Series Clustering based on Coupled-GP-HSMM-Reference-Cited by-同舟云学术

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Acquisition of Association Rules between a Situation and an Operation of Driving Behavior by using Time Series Clustering based on Coupled-GP-HSMM

Published:2023-12-08 Issue: Volume:42 Page:1-6
ISSN:
Container-title:2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON)
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Author:

Hashimoto Kohjiro¹,Yanagihara Daichi¹,Kuniyuki Hiroshi²,Doki Kae³,Funabora Yuki⁴,Doki Shinji⁴

Affiliation:

1. Suwa University of Science,Dept. Applied Information Engineering,Chino City,Nagano,Japan

2. Suwa University of Science,Dept. Mechanical and Electrical Engineering,Chino City,Nagano,Japan

3. Aichi Institute of Technology,Dept. Electrical Engineering,Toyota City,Aichi,Japan

4. Nagoya University,Dept. Electrical Engineering and Computer Science,Nagoya,Aichi,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430416/10430420/10431109.pdf?arnumber=10431109

Reference13 articles.

1. Modeling and Recognition of Driving Behavior Based on Stochastic Switched ARX Model

2. Semiotic prediction of driving behavior using unsupervised double articulation analyzer

3. Analysis on Characteristics of Traffic Accidents in Nagano

4. Risk assessment based on driving behavior for preventing collisions with pedestrians when making across-traffic turns at intersections

5. A Stochastic Approach for Modeling Lane-Change Trajectories:Digital Signal Processing for In-Vehicle Systems and Safety;Nishiwaki,2012

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