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Updated: Sep 10, 2025

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自動運転環境における歩行者横断のシナリオの知覚と意思決定の最適化

Xiao Teng1,2, Lin Huang3, Zhenjiang Shen4,5

  • 1Faculty of Transdisciplinary Sciences, Institute of Philosophy in Interdisciplinary Sciences, Kanazawa University, Kanazawa, 920-1192, Japan.

Scientific reports
|August 25, 2025
PubMed
まとめ

この研究では ビジュアル・ランゲージ・モデル (VLM) を用いて 自動運転のための 歩行者横断のインテリジェント・システムを構築しています このシステムは,マルチモダルのデータを処理することで安全性を高め,リスクの正確な認識と予測を可能にします.

キーワード:
行動の意思決定衝突リスクの予測突発的な言葉シナリオの分類標準化されたチェックリスト視覚言語のモデル

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