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        <datestamp>2025-01-19T14:39:01Z</datestamp>
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          <dc:title>緊急危険回避に対応する重回帰式を用いた車両モデルの提案</dc:title>
          <dc:title>Proposal of a vehicle model using a multiple regression equation for emergency danger avoidance</dc:title>
          <dc:creator>谷口, 竜司</dc:creator>
          <dc:creator>水上, フランク</dc:creator>
          <dc:creator>齊藤, 充行</dc:creator>
          <dc:creator>Ryuji, Taniguchi</dc:creator>
          <dc:creator>Frank, Mizukami</dc:creator>
          <dc:creator>Mitsuyuki, Saito</dc:creator>
          <dc:description>We have so far realised autonomous driving with safety and ride comfort in mind by using a neural network (NN) to estimate the driving skill of a good driver using a geometric two-wheel model and modelling errors due to the non-linear characteristics of the vehicle. However, unexpected hazard avoidance behaviour is difficult to realise with NNs. Therefore, this presentation examines whether a good driver's operation during emergency hazard avoidance can be realised using a geometric two-wheel model and multiple regression equations.</dc:description>
          <dc:description>We have so far realised autonomous driving with safety and ride comfort in mind by using a neural network (NN) to estimate the driving skill of a good driver using a geometric two-wheel model and modelling errors due to the non-linear characteristics of the vehicle. However, unexpected hazard avoidance behaviour is difficult to realise with NNs. Therefore, this presentation examines whether a good driver's operation during emergency hazard avoidance can be realised using a geometric two-wheel model and multiple regression equations.</dc:description>
          <dc:description>technical report</dc:description>
          <dc:publisher>情報処理学会</dc:publisher>
          <dc:date>2022-09-09</dc:date>
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          <dc:identifier>研究報告高度交通システムとスマートコミュニティ（ITS）</dc:identifier>
          <dc:identifier>3</dc:identifier>
          <dc:identifier>2022-ITS-90</dc:identifier>
          <dc:identifier>1</dc:identifier>
          <dc:identifier>5</dc:identifier>
          <dc:identifier>2188-8965</dc:identifier>
          <dc:identifier>AA11515904</dc:identifier>
          <dc:identifier>https://ipsj.ixsq.nii.ac.jp/record/220152/files/IPSJ-ITS22090003.pdf</dc:identifier>
          <dc:language>jpn</dc:language>
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