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Search results for cloud computing lidar
cloud-computing
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lidar
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Lego Loam
⭐
2,002
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Depth_clustering
⭐
778
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Awesome Lidar
⭐
696
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Superpoint_graph
⭐
691
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Lidar_for_ad_references
⭐
610
A list of references on lidar point cloud processing for autonomous driving
Awesome Point Cloud Processing
⭐
542
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
Multiple Object Tracking Lidar
⭐
375
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Pointcloud
⭐
364
A PostgreSQL extension for storing point cloud (LIDAR) data.
Pptk
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282
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
Pclpy
⭐
206
Python bindings for the Point Cloud Library (PCL)
Simpleicp
⭐
199
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Lol
⭐
188
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
Ilcc
⭐
183
Intensity-based_Lidar_Camera_Calibration
3d Mininet
⭐
156
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
Deep Learning For Lidar Point Clouds
⭐
134
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Point Cloud Prediction
⭐
134
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Unitypointcloudviewer
⭐
116
Point Cloud Viewer and Tools for Unity
Rs_to_velodyne
⭐
108
A ros tool for converting Robosense pointcloud to Velodyne pointcloud format.
Real Time Spatio Temporal Lidar Point Cloud Compression
⭐
90
This is a compression technique that targets for LiDAR-generated point cloud
Treeseg
⭐
80
Extract individual trees from lidar point clouds
Lidar Gta V
⭐
78
A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.
Acsc
⭐
76
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
Lidar Segementation
⭐
66
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
But_velodyne_lib
⭐
62
Open source library for Velodyne 3D LIDAR point clouds processing provided by Robo@FIT group.
Ipad Lidar Depth Sample For Unity
⭐
62
Pointcloudsegmentation
⭐
59
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Pointcloudsvr
⭐
55
Pyfor
⭐
53
Tools for analyzing aerial point clouds of forest data.
Lidar Importer
⭐
50
This is a Blender LiDAR Importer I built for LASer (LAS) point cloud data.
Kitti Velodyne Viewer
⭐
49
view kitti lidar point cloud with bounding box label
Mesh2osmslicer
⭐
46
openFrameworks prototype for a mesh 2 polygons slicer
Cvpr 2020 Point Cloud Analysis
⭐
44
CVPR 2020 papers focusing on point cloud analysis
Gpscalibration
⭐
38
GPS calibration using points cloud slam and other sensors
Pulsedlight3dscanner
⭐
34
Point-Cloud Tool by PulsedLight Inc.
Ndt_localizer
⭐
32
A simple, clean NDT licalization ROS package.
Object_detection_in_point_clouds
⭐
30
Detect vehicles on the road in lidar pointcloud data
Sparse Segmentation
⭐
29
Segmentation of sparse LIDAR point clouds - The Robotics Institute, CMU 2018
Laserlib
⭐
23
Library for 3D LiDAR perception
Cumulo
⭐
22
a benchmark dataset for training and evaluating global cloud classification models.
F4g Oceania Pdal
⭐
21
A workshop on PDAL for FOSS4G SotM Oceania 2018
Ground Extraction From Point Cloud
⭐
19
This is a software for finely removing non-ground points from point clouds.
Openpylivox
⭐
19
Python3 driver for Livox lidar sensors
Lidar Lidar Cal
⭐
19
A set of estimation, visualization, and evaluation modules for performing lidar-lidar calibration for autonomous vehicles and other robotic systems. This framework was validated/built for analyzing point cloud and odometry data from the DARPA SubT Challenge.
A Lego Loam
⭐
17
Advance-LeGO-LOAM
Radmap_point_clouds
⭐
17
Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.
Treeseparation
⭐
17
Point-based Individual Tree Delineation from 3D LiDAR Point Cloud Data.
Veloslam
⭐
16
A library that runs SLAM algorithm on point clouds collected by Velodyne LiDARs
Displaz.jl
⭐
16
Julia bindings for the displaz lidar viewer
Lidar Obstacle Detection Project
⭐
16
C++ code for LiDAR object detection using point cloud library (PCL)
Velodyne_registration
⭐
16
This repository applies Lidar Registration for KITTI Velodyne dataset.
Awesome Deeplearning 3d Registration
⭐
15
Spark Iqmulus
⭐
15
Spark Package to read and write PLY, LAS and XYZ lidar point clouds using Spark SQL.
Tools_merge_image_pointcloud
⭐
15
Project the PointCloud to the image & Generate the LiDAR PointCloud with color.
Python For Remote Sensing
⭐
15
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Lane Marking Detection
⭐
14
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.
Point Cloud Compression By Rnn
⭐
13
Implementation of Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks
Blender2helios
⭐
12
Blender addon to convert a blender scene to a Helios scene (LiDAR simulation, 3D point clouds)
Depth Dataset Builder
⭐
12
Tool to build a Depth enabled dataset for drone videos (or other type)
Kitti Point Cloud Utils
⭐
12
KITTI Point Cloud Utilities
Opcseg
⭐
12
Learning to Optimally Segment Point Clouds, RAL/ICRA 2020
Lidar Obstacle Detection
⭐
11
Project: Lidar Obstacle Detection || Udacity: Sensor Fusion Engineer Nanodegree
Testdataforpanoramiclidar
⭐
11
A test data set for fusion of panoramic images and point clouds collected by a mobile mapping system
Rtls
⭐
11
rTLS: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
Toidar
⭐
11
Tools for processing LIDAR point clouds
3d Mapping Lidar
⭐
10
Cam_lidar_fusion
⭐
10
project lidar's point cloud on camera's image
Js Velodyne Viewer
⭐
9
use javascript render velodyne lidar point clouds real time stream
Cl2nc
⭐
8
Convert Vaisala CL51 and CL31 ceilometer dat files to NetCDF
Point Planenet
⭐
7
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
Datahack2018
⭐
6
DataHack 2018 Autonomous Vehicle LIDAR Processing Challenge
2d 3d Matching
⭐
6
Registration of 2D images with 3D point clouds
Pointcloudviewer
⭐
6
Sample application which uses Xamarin with Monogame framework to visualize point clouds
Carla_data_collection
⭐
5
set sensors on an autonomous agents(a vehicle) in carla and collect albedo, depth, reflection vector, semantic data and rgb image
Icra 2020 Point Cloud Analysis
⭐
5
ICRA 2020 papers focusing on point cloud analysis
Vtkcloudpoint
⭐
5
clustering(dbscan) and matching(icp) LiDAR cloud points by vtk.
Pmnet
⭐
5
We design an end-to-end deep neural network architecture for LiDAR point cloud and 2D image point-wise feature fusion, which is suitable for directly consuming unordered point cloud. To the best of our knowledge, this is the first approach to use multimodal fusion network for aerial point cloud 3D segmentation which well respects the permutation invariance of point cloud. PMNet has an advantage over 2D based models that it can incorporate multi-view 3D scanned data if available.
Alcf
⭐
5
Automatic Lidar and Ceilometer Processing Framework (ALCF)
Grid_localization
⭐
5
Elevation grid map based localization using LiDAR sensor
Advancedobjectdetection
⭐
5
Point Attention
⭐
5
Pointcloudworkshop Oct2019
⭐
5
From point clouds and full-waveform data to DEM analysis (Sep-30 to Oct-4 2019)
Vispy Point Cloud
⭐
5
This example uses Vispy python OpenGL-library to plot filtered LIDAR (laser scanned) point-cloud with hillshade, contour lines and color coded altitude.
Indoor Reconstruction
⭐
5
Reconstruction of Indoor Environments Using VLP-16 and Tinkerforge IMU 2.0
Lidarforestryheight
⭐
5
Plugin generates heights raster maps from LiDAR classified point clouds (las and laz formats)
Lidar_cnn_classification_pointnet
⭐
5
It will classify Lidar point using pointnet CNN model build in keras
Vssixa
⭐
5
Vegetation Spectral-Structural Information eXtraction Algorithm (VSSIXA): Working with Point cloud and LiDAR
Autonomous Driving
⭐
5
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