ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments
A bi-modal construction domain dataset combining stereo RGB and LiDAR data under challenging environmental conditions is introduced for autonomous system perception research.
Hugging Face · Daily Papers
·Jakub Gregorek, Lars Arnold Dethlefsen
·
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Jakub Gregorek, Lars Arnold Dethlefsen, Patrick Schmidt, Mads Essenbæk, Jonas Flink Bentzen, Lazaros Nalpantidis
- 0 upvotes da comunidade
- Temas: bi-modal dataset, stereo RGB, LiDAR point clouds, depth completion, depth estimation, stereo matching
Resumo
Resumo original (em inglês), extraído do paper:
A bi-modal construction domain dataset combining stereo RGB and LiDAR data under challenging environmental conditions is introduced for autonomous system perception research.
// relacionados
Leia também
Blog
Anthropic’s Claude Tag is learning your company, one Slack message at a time
Editorial
LocateAnything-3B: o modelo da NVIDIA que aponta o dedo
Blog
A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation
Blog