A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion.
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Updated
Jun 14, 2024 - Jupyter Notebook
A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion.
LiDAR processing ROS2. Segmentation algorithm: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering algorithm: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".
A proof-of-concept for transforming UBC's Vancouver Campus into a Minecraft world through the use of geospatial data processing and deep learning.
Automatic dendrometry in terrestrial point clouds
(RA-L 2023) Official toolkit for the SemanticSpray Dataset.
LIDAR pointcloud clustering
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
This is a read-only mirror of https://gitlab.com/pytools4dart/pytools4dart.
A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data
Is Your HD Map Constructor Reliable under Sensor Corruptions?
A Modular Optimization framework for Localization and mApping (MOLA)
A feature line extractor from terrain point cloud data using projection-based approach.
[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
3D LIDAR-based Graph SLAM
Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Map & Localization"
Scripts to process openNRW data
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
ROS2 packages for moiro agv
Executed a research project on spatial clustering and advanced Bayesian learning and inference for Neyman-Scott processes
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