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Updated: May 12, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

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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マルチスケール機能に基づくインテリジェント・車両標的検出アルゴリズム

Aijuan Li1, Xiangsen Ning1, Máté Zöldy2

  • 1School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China.

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

この研究は,YOLOv10オブジェクト検出モデルをインテリジェント・ドライビングに最適化し,そのサイズを11.8%削減し,同時に93.0%の精度を達成しました. 改良されたモデルは 自動運転システムの検出性能を向上させます

キーワード:
YOLOv10 についてインテリジェント車両マルチスケールフレキシブルコンヴォルション浅い補助核融合ターゲット検出

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