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Search results for point cloud lidar
lidar
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point-cloud
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129 search results found
Awesome Robotic Tooling
⭐
2,777
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Hdl_graph_slam
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1,566
3D LIDAR-based Graph SLAM
Lidar_camera_calibration
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1,187
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Photogrammetry Guide
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923
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Loam_velodyne
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909
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Interactive_slam
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803
Interactive Map Correction for 3D Graph SLAM
Depth_clustering
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778
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Awesome Lidar
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696
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Superpoint_graph
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691
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Cylinder3d
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670
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
Dynamic_robot_localization
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660
Point cloud registration pipeline for robot localization and 3D perception
Spvnas
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572
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Lidr
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558
Airborne LiDAR data manipulation and visualisation for forestry application
Awesome Point Cloud Processing
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542
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
Mcl_3dl
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441
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
Laspy
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413
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
Patchwork Plusplus
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397
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
Pyicp Slam
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395
Full-python LiDAR SLAM using ICP and Scan Context
Lidar Mos
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392
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
Open3d_slam
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376
Pointcloud-based graph SLAM written in C++ using open3D library.
Multiple Object Tracking Lidar
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375
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Rslidar_sdk
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373
RoboSense LiDAR SDK for ROS & ROS2
Pointcloud
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364
A PostgreSQL extension for storing point cloud (LIDAR) data.
Lidar Slam Detection
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328
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
Livox_ros_driver
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308
Livox device driver under ros, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.
Staticmapping
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289
Use LiDAR to map the static world
Latte
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280
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking
Liblas
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279
C++ library and programs for reading and writing ASPRS LAS format with LiDAR data
3d Lidar Multi Object Tracking
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267
🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解
Sc Lego Loam
⭐
256
LiDAR SLAM: Scan Context + LeGO-LOAM
Urban_road_filter
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251
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Patchwork Plusplus Ros
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247
ROS & ROS2 Implementation of Patchwork++
3d_cnn_tensorflow
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244
KITTI data processing and 3D CNN for Vehicle Detection
4dmos
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229
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)
Displaz
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220
A hackable lidar viewer
Lidar_align
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215
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
Pclpy
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206
Python bindings for the Point Cloud Library (PCL)
Simpleicp
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199
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Vision3d
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197
Research platform for 3D object detection in PyTorch.
Lt Mapper
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189
A Modular Framework for LiDAR-based Lifelong Mapping
Lol
⭐
188
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
Pointpainting
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186
This repository is an open-source PointPainting package which is easy to understand, deploy and run!
Kitti Dataset
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184
Visualising LIDAR data from KITTI dataset.
Ilcc
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183
Intensity-based_Lidar_Camera_Calibration
Lidar_snow_sim
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144
LiDAR snowfall simulation
Lidar_camera_calibration
⭐
136
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Point Cloud Prediction
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134
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Deep Learning For Lidar Point Clouds
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134
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Pointcloudprinter
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132
Prepare pointclouds from aerial LIDAR scans for 3D printing
Ohm
⭐
126
An efficient, extensible occupancy map supporting probabilistic occupancy, normal distribution transforms in CPU and GPU.
Unitr
⭐
123
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation"
Sc A Loam
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119
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
Unitypointcloudviewer
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116
Point Cloud Viewer and Tools for Unity
Ground Segmentation Benchmark
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113
Ground segmentation benchmark in SemanticKITTI dataset
Rs_to_velodyne
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108
A ros tool for converting Robosense pointcloud to Velodyne pointcloud format.
Laser Camera Calibration Toolbox
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105
A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html
Pillarnext
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100
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
Kitti Velo2cam
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99
lidar to camera projection of KITTI
Cae Lo
⭐
97
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Js3c Net
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93
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
Real Time Spatio Temporal Lidar Point Cloud Compression
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90
This is a compression technique that targets for LiDAR-generated point cloud
Sweep Sdk
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88
Sweep SDK
Weakly Supervised 3d Object Detection
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85
Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
Cmrnet
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82
Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP
Lopocs
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80
Migrated to: https://gitlab.com/Oslandia/lopocs
Treeseg
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80
Extract individual trees from lidar point clouds
Extrinsic_lidar_camera_calibration
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79
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
Ouster Ros
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78
Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)
Lidar_fog_sim
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77
LiDAR fog simulation
Logg3d Net
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73
[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.
Lidar_snow_removal
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68
This repo is a set of nodes for ROS to filter point clouds with the goal of removing snow in Lidar data.
Ws3d
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64
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Pointclouddenoising
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64
Lidar_appearance_calibration
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60
This a ros package for multi-LiDAR calibration using three planar surfaces.
Pa Aug.pytorch
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58
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)
Las Rs
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55
Read and write ASPRS las files, Rust edition.
Jakteristics
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53
Compute point cloud geometric features from python
Sparse_pooling
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53
SHPL: Fusing Bird's Eye View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection
Iilfm
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53
This is a fiducial marker system designed for LiDAR sensors. Different visual fiducial marker systems (Apriltag, ArUco, CCTag, etc.) can be easily embedded. The usage is as convenient as that of the visual fiducial marker. The system shows potential in SLAM, multi-sensor calibration, augmented reality, and so on.
3d Annotation Tool
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52
A graphical user interface to annotate point clouds and 3D data.
Wild Places
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51
[ICRA2023] The official repository for paper "Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments" To appear in 2023 IEEE International Conference on Robotics and Automation (ICRA)
Fastreg
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49
Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
Livox_ros2_driver
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49
Livox device driver under Ros2, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.
Radarhd
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47
High resolution point clouds from mmWave radar
Densedepthmap
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47
Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud
Flat
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46
[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
Distill Bev
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46
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
Btcdet
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46
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Mv Jar
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44
[CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
Cvpr 2020 Point Cloud Analysis
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44
CVPR 2020 papers focusing on point cloud analysis
Birdnet2
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41
Official Pytorch implementation of Birdnet+
3d Forest
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41
Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.
Lodtoolkit
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38
level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.
Gpscalibration
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38
GPS calibration using points cloud slam and other sensors
Annotate
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37
Create 3D labelled bounding boxes in RViz
Mv Jar
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36
[CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
3d_ground_segmentation
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35
A 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
Pointcloudset
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33
Efficient analysis of large datasets of point clouds recorded over time
Digital Forestry Toolbox
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32
A collection of digital forestry tools for Matlab/Octave
Occam
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32
Demo code for the paper: OccAM's Laser
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