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Updated: Feb 14, 2026

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
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DB-MLP: 軽量なダブルブランチMLPで,車両のスプリング・マス・アクセラレーションを用いて道路の粗さ分類を行う

Defu Chen1, Mingye Li1, Guojun Chen2

  • 1College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究では,新しいダブルブランチ多層感知器 (DB-MLP) を使用した軽量な道路粗さ分類フレームワークを導入します. DB-MLPモデルは,高精度 (98.5%) を達成し,リアルタイム車両システムの推論遅延を大幅に削減します.

キーワード:
DB-MLPは,DBからMLPに変更されています.ディープラーニングとは,ディープラーニングです.軽量なモデルモデルである.道路の粗さ分類は,道路の粗さによるものです.サスペンション コントロール車両ダイナミクスのシミュレーション

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