Jun 27, 2023 · This article proposes an innovative approach for change detection in 3D point clouds using deep learned place recognition descriptors and ...
This article proposes an innovative approach for change detection in 3D point clouds using deep learned place recognition descriptors and irregular object ...
This article proposes an innovative approach for change detection in 3D point clouds using deep learned place recognition descriptors and irregular object ...
The proposed method first aligns the bi-temporal point clouds using a map-merging algorithm in order to establish a common coordinate frame and utilizes ...
Our approach leverages place recognition descriptors, and more specifically, learning based descriptors, to identify changes between two bi-temporal point cloud ...
本文提出了一种使用深度学习位置识别描述符和基于体素到点比较的不规则对象提取来进行3D 点云变化检测的创新方法。该方法首先使用地图合并算法对齐双时点云，以建立公共 ...
Change detection and irregular object extraction in 3D point clouds is a challenging task that is of high importance not only for autonomous navigation but also ...
Change detection and irregular object extraction in 3D point clouds is a challenging task that is of high importance not only for autonomous navigation but also ...
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What does point cloud change detection produce?
This article proposes an innovative approach for change detection in 3D point clouds using deep learned place recognition descriptors and irregular object ...
Irregular Change Detection in Sparse Bi-Temporal Point Clouds using Learned Place Recognition Descriptors and Point-to-Voxel Comparison. Nikolaos ...