awesome-slam

SLAM tutorials

A curated list of resources and tutorials on Simultaneous Localization And Mapping (SLAM) for robotics and computer vision.

A curated list of awesome SLAM tutorials, projects and communities.

GitHub
2k stars
124 watching
378 forks
last commit: over 4 years ago
Linked from 1 awesome list


Awesome SLAM / News
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age For researchers, please read the recent review paper, , from Cesar Cadena, Luca Carlone et al

Awesome SLAM / Table of Contents / Books
State Estimation for Robotic -- A Matrix Lie Group Approach by Timothy D. Barfoot, 2018
Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods by Juan-Antonio Fernández-Madrigal and José Luis Blanco Claraco, 2012
Simultaneous Localization and Mapping: Exactly Sparse Information Filters by Zhan Wang, Shoudong Huang and Gamini Dissanayake, 2011
Probabilistic Robotics by Dieter Fox, Sebastian Thrun, and Wolfram Burgard, 2005
An Invitation to 3-D Vision -- from Images to Geometric Models by Yi Ma, Stefano Soatto, Jana Kosecka and Shankar S. Sastry, 2005
Multiple View Geometry in Computer Vision by Richard Hartley and Andrew Zisserman, 2004
Numerical Optimization by Jorge Nocedal and Stephen J. Wright, 1999

Awesome SLAM / Table of Contents / Courses, Lectures and Workshops
SLAM Tutorial@ICRA 2016
Geometry and Beyond - Representations, Physics, and Scene Understanding for Robotics at Robotics: Science and Systems (2016)
Robotics - UPenn on Coursera by Vijay Kumar (2016)
Robot Mapping - UniFreiburg by Gian Diego Tipaldi and Wolfram Burgard (2015-2016)
Robot Mapping - UniBonn by Cyrill Stachniss (2016)
Introduction to Mobile Robotics - UniFreiburg by Wolfram Burgard, Michael Ruhnke and Bastian Steder (2015-2016)
Computer Vision II: Multiple View Geometry - TUM by Daniel Cremers ( Spring 2016)
Advanced Robotics - UCBerkeley by Pieter Abbeel (Fall 2015)
Mapping, Localization, and Self-Driving Vehicles at CMU RI seminar by John Leonard (2015)
The Problem of Mobile Sensors: Setting future goals and indicators of progress for SLAM sponsored by Australian Centre for Robotics and Vision (2015)
Robotics - UPenn by Philip Dames and Kostas Daniilidis (2014)
Autonomous Navigation for Flying Robots on EdX by Jurgen Sturm and Daniel Cremers (2014)
Robust and Efficient Real-time Mapping for Autonomous Robots at CMU RI seminar by Michael Kaess (2014)
KinectFusion - Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera by David Kim (2012)
SLAM Summer School organized by Australian Centre for Field Robotics (2009)
SLAM Summer School organized by University of Oxford and Imperial College London (2006)
SLAM Summer School organized by KTH Royal Institute of Technology (2002)

Awesome SLAM / Table of Contents / Papers
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age (2016)
Direct Sparse Odometry (2016)
Modelling Uncertainty in Deep Learning for Camera Relocalization (2016)
Large-Scale Cooperative 3D Visual-Inertial Mapping in a Manhattan World (2016)
Towards Lifelong Feature-Based Mapping in Semi-Static Environments (2016)
Tree-Connectivity: Evaluating the Graphical Structure of SLAM (2016)
Visual-Inertial Direct SLAM (2016)
A Unified Resource-Constrained Framework for Graph SLAM (2016)
Multi-Level Mapping: Real-time Dense Monocular SLAM (2016)
Lagrangian duality in 3D SLAM: Verification techniques and optimal solutions (2015)
A Solution to the Simultaneous Localization and Map Building (SLAM) Problem
Simulataneous Localization and Mapping with the Extended Kalman Filter
Robotic Mapping: A Survey

Awesome SLAM / Table of Contents / Researchers
John Leonard
Sebastian Thrun
Frank Dellaert
Dieter Fox
Stergios I. Roumeliotis
Vijay Kumar
Ryan Eustice
Michael Kaess
Guoquan (Paul) Huang
Gabe Sibley
Luca Carlone
Andrea Censi
Paul Newman
Roland Siegwart
Juan Nieto
Wolfram Burgard
Jose Neira
Davide Scaramuzza
Cesar Cadena
Ian Reid
Tim Bailey
Gamini Dissanayake
Shoudong Huang

Awesome SLAM / Table of Contents / Datasets
Intel Research Lab (Seattle)

Awesome SLAM / Table of Contents / Code
ORB-SLAM 1,524 about 2 years ago
LSD-SLAM 2,619 over 1 year ago
ORB-SLAM2 9,440 6 months ago
DVO: Dense Visual Odometry 642 about 8 years ago
SVO: Semi-Direct Monocular Visual Odometry 2,104 about 5 years ago
G2O: General Graph Optimization 3,092 4 days ago
RGBD-SLAM 948 over 1 year ago

Backlinks from these awesome lists:

More related projects: