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Updated: Feb 15, 2026

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在照明变化下使用来自全向图像的伪LiDAR进行强大的位置识别

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
概括

本研究引入了一个新的视觉位置识别 (VPR) 框架,使用深度估计来提高对变化的照明和摄像机类型的稳定性. 该方法生成伪LiDAR数据,以实现更可靠的机器人定位.

关键词:
数据增强数据增强深度估计估计的深度.全方位的视力 无方向视力地方识别功能 地方识别功能云点点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云

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