Coupled-GP-HSMM を用いた自動車の運転行動データの場面クラスタリング手法の検討 －道路勾配とブレーキ操作の関係での評価－

松永 大河; 武藤 銀ノ丞; 柳原 大地; 橋本 幸二郎

doi:10.11371/wiieej.22.04.0_100

Reports of the304th Technical Conference of the Institute of Image Electronics Engineers of Japan

Session ID : 22-04-28

DOI https://doi.org/10.11371/wiieej.22.04.0_100

Conference information

Host: The Institute of Image Electronics Engineers of Japan

Co-host: The Institute of Image Information and Television Engineers, The Society for Art & Science, The Computer Graphic Arts Society(CG-ARTS)

Name : Reports of the304th Technical Conference of the Institute of Image Electronics Engineers of Japan

Number : 304

Location : [in Japanese]

Date : March 06, 2023 -

Clustering Method of Driving Scene using Coupled-GP-HSMM

－Evaluation of Relationship Between Road Gradient and Braking Operation－

*Taiga Matsunaga, Ginnojo Muto, Daichi Yanagihara, Kohjiro Hashimoto

Author information

Keywords: Analysis of Driving Behavior, Time Series Clustering

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

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Abstract

This paper examines a clustering method for driving behavior data. Here, it is assumed that the driving scene is defined by the relationship between the surrounding situation and the operation. Then, Coupled-GP-HSMM is evaluated as a clustering method for driving situations. In the experiment, road slope data is used as situation data, and brake data is used as operation data, and scenes with a strong relationship between the two are extracted as driving scenes. Then, its effectiveness is evaluated based on actual driving environment conditions.

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