@techreport{oai:ipsj.ixsq.nii.ac.jp:00218814,
 author = {久保, 中 and 深津, 勇貴 and 吉田, 直樹 and 松本, 勉 and Ataru, Kubo and Yuki, Fukatsu and Naoki, Yoshida and Tsutomu, Matsumoto},
 issue = {9},
 month = {Jul},
 note = {自動運転車は，周囲の車両や歩行者などの物体認識や障害物の検知を，車載測距センサで得た情報をもとに行う．したがって，測距センサの出力を誤らせる距離偽装攻撃への対処策の研究が必要となる．本稿では LiDAR とステレオカメラの計測結果を組み合わせて距離偽装攻撃を検知する手法を提案し，走行データセットを用いたシミュレーションにより評価する．, Automatic driving vehicles use information obtained from onboard ranging sensors to recognize objects such as surrounding vehicles and pedestrians, and to detect obstacles. This implies the necessity of studying countermeasures against distance spoofing attacks that mislead the output of the ranging sensors. In this paper, we propose a method to detect distance spoofing by combining LiDAR and stereo camera measurements, and evaluate it by simulation using a driving data set.},
 title = {距離偽装攻撃のLiDARとステレオカメラによる検出},
 year = {2022}
}