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Updated: Sep 9, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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強化されたYOLOv7とGPTベースのプロンプトエンジニアリングによる空港の舗装上の異物残骸のインテリジェント検出と記述

Hanglin Cheng1, Ruoxi Zhang2, Ruiheng Zhang1,2

  • 1School of Transportation, Southeast University, Nanjing 211189, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究は,空港の滑走路で外来物体 (FOD) を検出するためのAIフレームワークを導入し,航空の安全性を高めます. このシステムは,よりよい滑走路検査のために,困難な条件下でもFODを正確に識別し,記述します.

キーワード:
異物残骸セグメント 何でも小物検知構造化プロンプトエンジニアリング

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