1358 Open source projects that are alternatives of or similar to UrbanLoco

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

Python sample codes for robotics algorithms.

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

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

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

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

A Modular Optimization framework for Localization and mApping (MOLA)

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

A collection of deep learning based localization models

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

RTAB-Map library and standalone application

🚀 SLAM for autonomous planetary rovers with global localization

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

LiDAR SLAM: Scan Context + LeGO-LOAM

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

LaMa - A Localization and Mapping library

Point cloud registration pipeline for robot localization and 3D perception

Slam Gmapping for ROS2

ROS and V-REP for Robot Mapping and Localization

A Modular Framework for LiDAR-based Lifelong Mapping

loam code noted in Chinese（loam中文注解版）

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

Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

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

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

ROS nodes for outdoor SLAM on a ground robot

Android app for collecting OpenStreetCam imagery

X Inertial-aided Visual Odometry

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

Intensity-based_Lidar_Camera_Calibration

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

Android implementation of "Fusion of inertial and visual measurements for rgb-d slam on mobile devices"

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

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

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

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

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

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

深度学习和三维视觉相关的论文

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.

an awesome list of self-driving algorithms, software, tools

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

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

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

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

A collection of docker environments for 3D SLAM packages

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

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

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.

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

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

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

Graph SLAM solver in Python

A Multi-sensor Fusion Odometry via Smoothing and Mapping.

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

An autonomous vehicle written in python

SLAM Kit

open source slam system notes

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