関連する実験動画

Updated: Feb 19, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K

確率密度関数を用いたオブジェクト認識セマンティックマッピングは,屋内移転と経路計画のための確率密度関数を使用します

Alicia Mora1, Alberto Mendez2, Luis Moreno2

  • 1RoboticsLab, Department of Automation and Systems Engineering, Universidad Carlos III de Madrid, Leganes, Madrid, 28911, Spain. almorav@ing.uc3m.es.

Scientific reports
|February 17, 2026
PubMed
まとめ

この研究は,室内ロボットのオブジェクト認識セマンティックマッピングフレームワークを導入します. 確率密度関数 (PDF) を使用して,コンパクトで堅牢な3Dマップを作成し,複雑な環境でのナビゲーションとリロケーションを改善します.

キーワード:
オブジェクトの認識パート・プランニング パート・プランニング確率密度関数とは,確率密度関数である.セマンティック・マッピングセマンティックリロカライゼーション

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