534 Open source projects that are alternatives of or similar to ple

DJI Onboard SDK Official Repository

Point cloud registration pipeline for robot localization and 3D perception

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021

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

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.

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

open source slam system notes

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

pyGEDI is a Python Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) mission, data extraction, analysis, processing and visualization.

Collection of Python snippets for processing LiDAR point cloud.

Sweep SDK

LiDAR SLAM = FAST-LIO + Scan Context

Ros nodes for single TeraRanger sensors

A tool for automatically generating 3D printable STLs from freely available lidar scan data.

Migrated to: https://gitlab.com/Oslandia/lopocs

CJMCU-531 and ESP32 Web Demo interfacing to a VL53L1X IR time-of-flight sensor

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

ArcGIS Python Toolbox for WhiteboxTools

A collection of docker environments for 3D SLAM packages

Open-Source LiDAR Time Synchronization System by Mimicking GPS-clock

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

MOLA module: Front-end for point-cloud sensors based on generic ICP algorithms. LiDAR odometry and loop closure.

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

Given a map data (image + lidar), estimate the 6 DoF camera pose of the query image.

This is a Python + OpenCV implementation of the Vanishing Point algorithm by Xiaohu Lu et al. - http://xiaohulugo.github.io/papers/Vanishing_Point_Detection_WACV2017.pdf

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

GPS calibration using points cloud slam and other sensors

A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.

This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.

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

An interactive GUI for WhiteboxTools in a Jupyter-based environment

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

Official page of Patchwork (RA-L'21 w/ IROS'21)

A Modular Framework for LiDAR-based Lifelong Mapping

TensorFlow training pipeline and dataset for prediction of evidential occupancy grid maps from lidar point clouds.

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

The Hybrid Reciprocal Velocity Obstacle (C++)

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.

This repository is an open-source PointPainting package which is easy to understand, deploy and run!

Robotic simulation in Unity with ROS integration.

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

level-of-details toolkit(LTK). Convert osgb lod tree to 3mx tree. Convert pointcloud in ply/las/laz/xyz to 3mx/osgb tree.

Create 3D labelled bounding boxes in RViz

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

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

確率ロボティクスのアルゴリズム解説（こちらに最新・もっと正確なバージョンがあります->）

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

Julia bindings for the displaz lidar viewer

Open-source Monocular Python HawkEye for Tennis

ROS package for NDT-PSO, a 2D Laser scan matching algorithm for SLAM

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

My small SLAM simulator to study "SLAM for dummies"

GEDI L3 and L4 Tutorials