Top 138 lidar open source projects

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

Intensity-based_Lidar_Camera_Calibration

Python bindings for the Point Cloud Library (PCL)

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

使用树莓派3b来实现无人驾驶汽车

A Modular Optimization framework for Localization and mApping (MOLA)

Drivers for receiving LiDAR data and more

Use LiDAR to map the static world

Open Source scanning laser rangefinder

WhiteboxTools Python Frontend

Tool for convert files into Magicavoxel file

A hackable lidar viewer

Research platform for 3D object detection in PyTorch.

Open Hardware scanning triangulation laser rangefinder

Real-time people tracking using a 3D LIDAR

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

Full-python LiDAR SLAM using ICP and Scan Context

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

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.

PyTorch Implementation of PIXOR

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

Export an OBJ file of ARKit 3.5 iPad Pro LIDAR scans

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

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

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

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

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

A Python package for delineating nested surface depressions from digital elevation data.

LiDAR-Inertial 3D Plane Simulator

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

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

Tools for analyzing aerial point clouds of forest data.

A curated list of awesome data labeling tools

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

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

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

3D LIDAR-based Graph SLAM

Read and write ASPRS las files, Rust edition.

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Advanced implementation of LOAM

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

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

DJI Onboard SDK Official Repository

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Open Source TOF Lidar

loam code noted in Chinese（loam中文注解版）

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

Interactive Map Correction for 3D Graph SLAM

Point cloud registration pipeline for robot localization and 3D perception

LiDAR SLAM: Scan Context + LeGO-LOAM

Real-time 3D localization using a (velodyne) 3D LIDAR

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