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Updated: Feb 14, 2026

Quantitative Autonomic Testing
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Quantitative Autonomic Testing

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自動運転の認識の移転可能な防衛のための物理意識の時空一貫性

Yang Liu1, Zishan Nie1, Tong Yu2

  • 1Hubei Key Laboratory of Internet of Intelligence, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究は,自動運転感知システムに対する物理意識の防御を導入し,視覚データと物理データを緊密に結合することによって,敵対的な攻撃に対する堅実性を高めます. この新しいアプローチは,検出の精度と効率を大幅に向上させ,より安全な自動運転体験を提供します.

キーワード:
対抗力 頑丈さ 対抗力 頑丈さ自動運転の感知は,自動運転の感知である.物理的な敵対的な攻撃です.空間時間的な一貫性.譲渡可能性 譲渡可能性

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