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Updated: May 2, 2026

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フォトリアリスティックな交通現場データセット:視覚ベースの分析のための現実的および合成的視点

Khulan Khalzaa1, Stephen Karungaru1, Kenji Terada1

  • 1B1 Research Laboratory, Department of Computer Science, Tokushima University, Tokushima 770-8502, Japan.

Data in brief
|September 2, 2025
PubMed
まとめ

この研究は,自動運転の知覚のための多様な交通状況データセットを導入します. マルチ高度と深さのビューを含む合成データと現実世界のデータは,コンピュータビジョンモデルのトレーニングを強化します.

キーワード:
データ生成リアルデータと合成データ道路利用者シーンの理解トラフィックシーン

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