A proof-of-concept for transforming UBC's Vancouver Campus into a Minecraft world through the use of geospatial data processing and deep learning.
-
Updated
Jun 14, 2024 - Python
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.
🎓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
A feature line extractor from terrain point cloud data using projection-based approach.
[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
Visual Benchmark in Rome Development Kit
[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".
Lidar Obstacle Detection using RANSAC and DBSCAN
Up-sampling and denoising signals using a deep neural network model
A package for generating hydrologically conditioned DEMs and roughness maps from LiDAR and other infrastructure data. Check the wiki for install and usage instructions, and documentation at https://rosepearson.github.io/GeoFabrics/
The Trash Collecting Robot is an autonomous system utilizing computer vision for bottle detection and lidar algorithms for obstacle avoidance, aimed at addressing plastic pollution by efficiently collecting trash while navigating its environment.
A Python package for delineating nested surface depressions from digital elevation data.
cBLUE is a tool to calculate the total propagated uncertainty of bathymetric lidar data.
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models (ICRA 2024)
[IROS23] InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data
Add a description, image, and links to the lidar topic page so that developers can more easily learn about it.
To associate your repository with the lidar topic, visit your repo's landing page and select "manage topics."