システム制御情報学会論文誌
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
論文
運転状況を推定し学習データを選択する適応的ブレーキ警報システム
池田 和司味間 弘喜井上 裕太柴田 智広深谷 直樹人見 謙太郎坂東 誉司
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2011 年 24 巻 8 号 p. 193-199

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The paper proposes a rear-end collision warning system for drivers, where the collision risk is adaptively set from driving signals. The system employs the inverse of the time-to-collision with a constant relative acceleration as the risk and the one-class support vector machine as the anomaly detector. The system also utilizes brake sequences for outliers detection. When a brake sequence has a low likelihood with respect to trained hidden Markov models, the driving data during the sequence are removed from the training dataset. This data selection is confirmed to increase the robustness of the system by computer simulations.

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© 2011 システム制御情報学会
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