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Updated: Sep 10, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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クロスフォーマーGAN:高度な注意力メカニズムとトランスフォーマーアーキテクチャによる自動運転における歩行者軌道の予測の強化

V Nisha1, G Linda Rose2, Jeffin Gracewell3

  • 1Department of Computer Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu India.

Cognitive neurodynamics
|August 27, 2025
PubMed
まとめ

この研究では,自律運転における歩行者の軌道を正確に予測するための新しいモデルであるCrossFormerGANを紹介しています. 先進的な注意メカニズムとトランスフォーマーを使って 歩行者の動きを予測することで 安全性を高めます

キーワード:
環境要因ジェネラティブ・アドバディラル・ネットワーク社会的交流微妙な人間のジェスチャー

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