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Updated: Feb 15, 2026

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オムニディレクショナルな画像からの擬似LiDARを使用して,照明の変化の下での堅固な場所認識.

Juan José Cabrera1, Marcos Alfaro2, Arturo Gil2

  • 1Institute for Engineering Research (I3E), Miguel Hernández University, Av. Universidad s/n, 03202, Elche, Comunidad Valenciana, Spain. juan.cabreram@umh.es.

Scientific reports
|February 13, 2026
PubMed
まとめ

この研究では,変化する照明とカメラタイプに対する強度を改善するために,深さの推定を使用して新しいビジュアル・プレイス認識 (VPR) フレームワークを導入しています. この方法は,より信頼性の高いロボットローカライゼーションのために,擬似LiDARデータを生成します.

キーワード:
データ増強 データの増強深さ推定の深さ評価についてオムニディレクショナル・ビジョン場所認識機能 場所認識機能ポイントクラウド ポイントクラウド

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