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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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MaskCNNと航空画像を使用したOpenStreetMapの自動道路表面分類

R Parvathi1, V Pattabiraman1, Nancy Saxena1

  • 1School of Computer Science and Engineering, Vellore Institute of Technology - Chennai Campus, Chennai, Tamil Nadu, India.

Frontiers in big data
|August 29, 2025
PubMed
まとめ

この研究は,ディープラーニングと航空画像を使用してOpenStreetMapの道路表面データを強化し,アスファルト,コンクリート,砂岩,汚れ分類で92.3%の精度を達成しました. 先進的なモデルは,ナビゲーションとインフラストラクチャの分析を改善します.

キーワード:
マスクCNNオープンストリートマップ (OSM)PyTorch ライトニング航空画像機械学習モデルの校正道路表面の分類セグメンテーションマスク

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