1072 Open source projects that are alternatives of or similar to Mola

Useful links of different content related to AI, Computer Vision, and Robotics.

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

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

fast loop closure detection (online visual place recognition) via saliency re-identification IROS 2020

A Modular Framework for LiDAR-based Lifelong Mapping

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

My small SLAM simulator to study "SLAM for dummies"

LiDAR SLAM = FAST-LIO + Scan Context

An extension of Open3D to address 3D Machine Learning tasks

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

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

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR 2019

🚀 SLAM for autonomous planetary rovers with global localization

Codac is a library for constraint programming over reals, trajectories and sets.

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

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

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

Interactive Map Correction for 3D Graph SLAM

X Inertial-aided Visual Odometry

3D LIDAR-based Graph SLAM

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

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

Use LiDAR to map the static world

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

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

A collection of docker environments for 3D SLAM packages

ROS2 package of tightly-coupled lidar inertial ndt/gicp slam

Slam Gmapping for ROS2

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

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

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

ROS and V-REP for Robot Mapping and Localization

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

open source slam system notes

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

Implementation for IROS2020: "GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Model"

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

OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

LaMa - A Localization and Mapping library

Point cloud registration pipeline for robot localization and 3D perception

LiDAR SLAM: Scan Context + LeGO-LOAM

loam code noted in Chinese（loam中文注解版）

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

Advanced implementation of LOAM

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

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

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

RTAB-Map library and standalone application

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

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

A collection of deep learning based localization models

Full-python LiDAR SLAM using ICP and Scan Context

深度学习和三维视觉相关的论文

Python sample codes for robotics algorithms.

Localization of the application with ability to change language "on the fly" and support for plural form in any language.

WhiteboxTools Python Frontend