360 Open source projects that are alternatives of or similar to Pclpy

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

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.

LiDAR fog simulation

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

R package for airborne LiDAR data manipulation and visualisation for forestry application

Point Cloud Library (PCL)

Research platform for 3D object detection in PyTorch.

Templated python inferface for Point Cloud Library (PCL) based on Cython

A port of the Point Cloud Library (PCL) using Java Native Interface (JNI).

Point cloud registration pipeline for robot localization and 3D perception

Interactive Map Correction for 3D Graph SLAM

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

L-CAS 3D Point Cloud Annotation Tool

Multi-threaded and SSE friendly NDT algorithm

A hackable lidar viewer

Create 3D labelled bounding boxes in RViz

ROS2 package of 3D LIDAR-based Localization using PCL (Not SLAM)

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

A collection of GICP-based fast point cloud registration algorithms

KITTI data processing and 3D CNN for Vehicle Detection

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

3D LIDAR-based Graph SLAM

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Algorithm that converts point cloud data into an occupancy grid

Scripts showcasing filtering techniques applied to point cloud data.

Stream openni2 depth images over the network

Edge-detection application with PointCloud Library

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Cluster based segmentation of Point Cloud with PCL lib in ROS

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

Julia bindings for the displaz lidar viewer

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

loam code noted in Chinese（loam中文注解版）

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Python binding of 3D visualization library Pangolin

3D Graph Neural Networks for RGBD Semantic Segmentation

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Full-python LiDAR SLAM using ICP and Scan Context

Drivers for receiving LiDAR data and more

Papers and Datasets about Point Cloud.

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Neural Point-Based Graphics

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Portable .NET library for reading/writing xaml files.

Typed .NET clients for stripe.com REST APIs

PyTorch Implementation of PIXOR

Grid-GCN for Fast and Scalable Point Cloud Learning