RauchLukas
Ph.D. student at the UniBw Munich, Institute for Structural Engineering (KI).
University of the BundeswehrMunich
Pinned Repositories
Article-PCSS_for_Construction-A_survey
Datahub to the Applied Science Paper: Semantic Point Cloud Segmentation with Deep-Learning-Based Approaches for the Construction Industry: A Survey by Lukas Rauch et al.
BehelfsbrueckenTool
Small tool for dimensioning Behelfsbrücken
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
GBK2022-Paper_E09
Bestimmung der Oberflächenrauigkeit digitalisierter Bauteiloberflächen für die automatisierte Fertigung
hdl_graph_slam
3D LIDAR-based Graph SLAM
moveit_tutorials
A sphinx-based centralized documentation repo for MoveIt
MSECNet
This is the official implementation of our paper MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning (ACMMM2023)
Open3D-ML-dev
An extension of Open3D to address 3D Machine Learning tasks
open3d_graph_slam
Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PPT, MSC (CVPR'23), PTv2 (NeurIPS'22)
RauchLukas's Repositories
RauchLukas/Article-PCSS_for_Construction-A_survey
Datahub to the Applied Science Paper: Semantic Point Cloud Segmentation with Deep-Learning-Based Approaches for the Construction Industry: A Survey by Lukas Rauch et al.
RauchLukas/BehelfsbrueckenTool
Small tool for dimensioning Behelfsbrücken
RauchLukas/cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
RauchLukas/GBK2022-Paper_E09
Bestimmung der Oberflächenrauigkeit digitalisierter Bauteiloberflächen für die automatisierte Fertigung
RauchLukas/hdl_graph_slam
3D LIDAR-based Graph SLAM
RauchLukas/moveit_tutorials
A sphinx-based centralized documentation repo for MoveIt
RauchLukas/MSECNet
This is the official implementation of our paper MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning (ACMMM2023)
RauchLukas/Open3D-ML-dev
An extension of Open3D to address 3D Machine Learning tasks
RauchLukas/open3d_graph_slam
RauchLukas/Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PPT, MSC (CVPR'23), PTv2 (NeurIPS'22)
RauchLukas/pytorch-docker
Docker image for PyTorch based on nvidia/cuda images
RauchLukas/RSNet
This is the official implementation of RSNet.