multimodal-vaes-for-unsupervised-learning-of-robotic-manipulation-from-vision-language-and-action

effiziente-und-effektive-suche-mit-flachen-cross-encodern-für-geringe-latenz

kooperative-erfassung-und-kommunikation-für-isac-netzwerke-leistungsanalyse-und-optimierung

fpga上の再構成可能なefficientvitハイブリッド加速器

ユーザー指定の視覚的外観パーソナライゼーションのための分離自己増強

fpga-기반-convolution-transformer-하이브리드-efficientvit-가속기

リアルワールドの大規模マルチモーダルカメラ追跡ベンチマーク-mtmmc-

사용자-지정-시각적-외관-개인화를-위한-분리된-자기-증강


The study compares five roughness descriptors for LiDAR-derived digital elevation models, highlighting the importance of multiple descriptors in characterizing terrain surface roughness.


coremsg

comparing-roughness-descriptors-for-lidar-derived-dems


Comparing Roughness Descriptors for LiDAR-derived DEMs


title_rewrite

Terrain Surface Roughness