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Survey on deep learning-based point cloud compression
Point clouds are becoming essential in key applications with advances in capture
technologies leading to large volumes of data. Compression is thus essential for storage …
technologies leading to large volumes of data. Compression is thus essential for storage …
A survey on data compression techniques for automotive lidar point clouds
In the evolving landscape of autonomous driving technology, Light Detection and Ranging
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …
Density-preserving deep point cloud compression
Local density of point clouds is crucial for representing local details, but has been
overlooked by existing point cloud compression methods. To address this, we propose a …
overlooked by existing point cloud compression methods. To address this, we propose a …
Roi-guided point cloud geometry compression towards human and machine vision
L ** (SLAM) systems to retrieve scenes from maps …
Locndf: Neural distance field map** for robot localization
Map** an environment is essential for several robotic tasks, particularly for localization. In
this letter, we address the problem of map** the environment using LiDAR point clouds …
this letter, we address the problem of map** the environment using LiDAR point clouds …