Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Stars: ✭ 533 (-18.87%)
Lidar camera calibrationLight-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Stars: ✭ 133 (-79.76%)
Lidar camera calibrationROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Stars: ✭ 734 (+11.72%)
cloud to mapAlgorithm that converts point cloud data into an occupancy grid
Stars: ✭ 26 (-96.04%)
CilantroA lean C++ library for working with point cloud data
Stars: ✭ 577 (-12.18%)
urban road filterReal-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Stars: ✭ 134 (-79.6%)
Point Cloud FilterScripts showcasing filtering techniques applied to point cloud data.
Stars: ✭ 34 (-94.82%)
Loam velodyneLaser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Stars: ✭ 1,135 (+72.75%)
PclpyPython bindings for the Point Cloud Library (PCL)
Stars: ✭ 212 (-67.73%)
Ndt ompMulti-threaded and SSE friendly NDT algorithm
Stars: ✭ 291 (-55.71%)
Hdl localizationReal-time 3D localization using a (velodyne) 3D LIDAR
Stars: ✭ 332 (-49.47%)
Interactive slamInteractive Map Correction for 3D Graph SLAM
Stars: ✭ 372 (-43.38%)
Vision3dResearch platform for 3D object detection in PyTorch.
Stars: ✭ 177 (-73.06%)
Awesome Robotic ToolingTooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Stars: ✭ 1,876 (+185.54%)
Displaz.jlJulia bindings for the displaz lidar viewer
Stars: ✭ 16 (-97.56%)
annotateCreate 3D labelled bounding boxes in RViz
Stars: ✭ 104 (-84.17%)
3D Ground SegmentationA ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter
Stars: ✭ 55 (-91.63%)
WS3DOfficial version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Stars: ✭ 104 (-84.17%)
Depth-Guided-InpaintingCode for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"
Stars: ✭ 50 (-92.39%)
pcl localization ros2ROS2 package of 3D LIDAR-based Localization using PCL (Not SLAM)
Stars: ✭ 74 (-88.74%)
pcl-edge-detectionEdge-detection application with PointCloud Library
Stars: ✭ 32 (-95.13%)
terarangerRos nodes for single TeraRanger sensors
Stars: ✭ 19 (-97.11%)
pyRANSAC-3DA python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
Stars: ✭ 253 (-61.49%)
point-cloud-clustersA catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
Stars: ✭ 43 (-93.46%)
CupochRobotics with GPU computing
Stars: ✭ 225 (-65.75%)
OpensimplelidarOpen Source scanning laser rangefinder
Stars: ✭ 2,206 (+235.77%)
pcl.pyTemplated python inferface for Point Cloud Library (PCL) based on Cython
Stars: ✭ 64 (-90.26%)
lidar-sync-mimics-gpsOpen-Source LiDAR Time Synchronization System by Mimicking GPS-clock
Stars: ✭ 52 (-92.09%)
FLAT[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
Stars: ✭ 52 (-92.09%)
Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Stars: ✭ 20 (-96.96%)
patchworkOfficial page of Patchwork (RA-L'21 w/ IROS'21)
Stars: ✭ 174 (-73.52%)
costmap depth cameraThis is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.
Stars: ✭ 26 (-96.04%)
torch-points3dPytorch framework for doing deep learning on point clouds.
Stars: ✭ 1,823 (+177.47%)
hypersegHyperSeg - Official PyTorch Implementation
Stars: ✭ 174 (-73.52%)
Point2SequencePoint2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Stars: ✭ 34 (-94.82%)
point-cloud-predictionSelf-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Stars: ✭ 97 (-85.24%)
sp segmenterSuperpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
Stars: ✭ 33 (-94.98%)
wymlptiny fast portable real-time deep neural network for regression and classification within 50 LOC.
Stars: ✭ 36 (-94.52%)
awesome-lidar😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Stars: ✭ 217 (-66.97%)
BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
Stars: ✭ 104 (-84.17%)
pointnet2-pytorchA clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
Stars: ✭ 45 (-93.15%)
3d cnn tensorflowKITTI data processing and 3D CNN for Vehicle Detection
Stars: ✭ 266 (-59.51%)
pcljavaA port of the Point Cloud Library (PCL) using Java Native Interface (JNI).
Stars: ✭ 19 (-97.11%)
Apc Vision ToolboxMIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
Stars: ✭ 277 (-57.84%)
lidar body trackingROS Catkin package to track people using octree and cluster extraction
Stars: ✭ 68 (-89.65%)
PointnetPointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Stars: ✭ 3,517 (+435.31%)
LidrR package for airborne LiDAR data manipulation and visualisation for forestry application
Stars: ✭ 310 (-52.82%)
Kitti2bagConvert KITTI dataset to ROS bag file the easy way!
Stars: ✭ 359 (-45.36%)
Multiple Object Tracking LidarC++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Stars: ✭ 319 (-51.45%)