All Projects → tzutalin → Awesome Visual Slam

tzutalin / Awesome Visual Slam

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Projects that are alternatives of or similar to Awesome Visual Slam

Kimera Vio Ros
ROS wrapper for Kimera-VIO
Stars: ✭ 182 (-86.38%)
Mutual labels:  ros, slam, reconstruction
Awesome Robotic Tooling
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Stars: ✭ 1,876 (+40.42%)
Mutual labels:  ros, slam, point-cloud
Hdl graph slam
3D LIDAR-based Graph SLAM
Stars: ✭ 945 (-29.27%)
Mutual labels:  ros, slam, point-cloud
Interactive slam
Interactive Map Correction for 3D Graph SLAM
Stars: ✭ 372 (-72.16%)
Mutual labels:  ros, slam, point-cloud
Django Bookworm
A fun project to store my learning from each book that I read.
Stars: ✭ 23 (-98.28%)
Mutual labels:  learning, books
Kimera Vio
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Stars: ✭ 741 (-44.54%)
Mutual labels:  slam, reconstruction
Awesome Ai Books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Stars: ✭ 855 (-36%)
Mutual labels:  learning, books
Point Cloud Filter
Scripts showcasing filtering techniques applied to point cloud data.
Stars: ✭ 34 (-97.46%)
Mutual labels:  ros, point-cloud
Depth clustering
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Stars: ✭ 657 (-50.82%)
Mutual labels:  ros, point-cloud
Ros Academy For Beginners
中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
Stars: ✭ 861 (-35.55%)
Mutual labels:  ros, learning
Bundlefusion
[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration
Stars: ✭ 979 (-26.72%)
Mutual labels:  reconstruction, computervision
Kintinuous
Real-time large scale dense visual SLAM system
Stars: ✭ 740 (-44.61%)
Mutual labels:  slam, reconstruction
Lidar camera calibration
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Stars: ✭ 734 (-45.06%)
Mutual labels:  ros, point-cloud
Elasticfusion
Real-time dense visual SLAM system
Stars: ✭ 1,298 (-2.84%)
Mutual labels:  slam, reconstruction
Turtlebot3
ROS packages for Turtlebot3
Stars: ✭ 673 (-49.63%)
Mutual labels:  ros, slam
Itshare
持续更新,免费的IT学习资源分享,包括IT书籍,社区,课程,解决方案,博客等等
Stars: ✭ 49 (-96.33%)
Mutual labels:  learning, books
Awesome Ios Books
📚 Directory of iOS books
Stars: ✭ 45 (-96.63%)
Mutual labels:  learning, books
Mask rcnn ros
The ROS Package of Mask R-CNN for Object Detection and Segmentation
Stars: ✭ 53 (-96.03%)
Mutual labels:  ros, slam
Lego Loam
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Stars: ✭ 1,138 (-14.82%)
Mutual labels:  ros, slam
Cilantro
A lean C++ library for working with point cloud data
Stars: ✭ 577 (-56.81%)
Mutual labels:  point-cloud, reconstruction

The list of vision-based SLAM / Visual Odometry open source projects, libraries, dataset, tools, and studies

Awesome

Index

Libraries

Basic vision and trasformation libraries
Thread-safe queue libraries
Loop detection
Graph Optimization
Map library

Dataset

Dataset for benchmark/test/experiment/evalutation

Tools

Projects

RGB (Monocular):

A. Rosinol, M. Abate, Y. Chang, L. Carlone. Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping. arXiv preprint arXiv:1910.02490.

[1] Georg Klein and David Murray, "Parallel Tracking and Mapping for Small AR Workspaces", Proc. ISMAR 2007 [2] Georg Klein and David Murray, "Improving the Agility of Keyframe-based SLAM", Proc. ECCV 2008

  • DSO. Available on ROS

Direct Sparse Odometry, J. Engel, V. Koltun, D. Cremers, In arXiv:1607.02565, 2016 A Photometrically Calibrated Benchmark For Monocular Visual Odometry, J. Engel, V. Usenko, D. Cremers, In arXiv:1607.02555, 2016

LSD-SLAM: Large-Scale Direct Monocular SLAM, J. Engel, T. Schöps, D. Cremers, ECCV '14 Semi-Dense Visual Odometry for a Monocular Camera, J. Engel, J. Sturm, D. Cremers, ICCV '13

[1] Raúl Mur-Artal, J. M. M. Montiel and Juan D. Tardós. ORB-SLAM: A Versatile and Accurate Monocular SLAM System. IEEE > Transactions on Robotics, vol. 31, no. 5, pp. 1147-1163, 2015. (2015 IEEE Transactions on Robotics Best Paper Award). PDF. [2] Dorian Gálvez-López and Juan D. Tardós. Bags of Binary Words for Fast Place Recognition in Image Sequences. IEEE > Transactions on Robotics, vol. 28, no. 5, pp. 1188-1197, 2012. PDF.

D. Nister, “An efficient solution to the five-point relative pose problem,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 26, no. 6, pp. 756–770, 2004.

Christian Forster, Matia Pizzoli, Davide Scaramuzza, "SVO: Fast Semi-direct Monocular Visual Odometry," IEEE International Conference on Robotics and Automation, 2014.

RGB and Depth (Called RGBD):

Real-Time Visual Odometry from Dense RGB-D Images, F. Steinbucker, J. Strum, D. Cremers, ICCV, 2011

[1]Dense Visual SLAM for RGB-D Cameras (C. Kerl, J. Sturm, D. Cremers), In Proc. of the Int. Conf. on Intelligent Robot Systems (IROS), 2013. [2]Robust Odometry Estimation for RGB-D Cameras (C. Kerl, J. Sturm, D. Cremers), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2013 [3]Real-Time Visual Odometry from Dense RGB-D Images (F. Steinbruecker, J. Sturm, D. Cremers), In Workshop on Live Dense Reconstruction with Moving Cameras at the Intl. Conf. on Computer Vision (ICCV), 2011.

Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM, 2014 Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation, 2013

[1] Raúl Mur-Artal, J. M. M. Montiel and Juan D. Tardós. ORB-SLAM: A Versatile and Accurate Monocular SLAM System. IEEE > Transactions on Robotics, vol. 31, no. 5, pp. 1147-1163, 2015. (2015 IEEE Transactions on Robotics Best Paper Award). [2] Dorian Gálvez-López and Juan D. Tardós. Bags of Binary Words for Fast Place Recognition in Image Sequences. IEEE Transactions on Robotics, vol. 28, no. 5, pp. 1188-1197, 2012.

Kahler, O. and Prisacariu, V.~A. and Ren, C.~Y. and Sun, X. and Torr, P.~H.~S and Murray, D.~W. Very High Frame Rate Volumetric Integration of Depth Images on Mobile Device. IEEE Transactions on Visualization and Computer Graphics (Proceedings International Symposium on Mixed and Augmented Reality 2015

Real-time Large Scale Dense RGB-D SLAM with Volumetric Fusion, T. Whelan, M. Kaess, H. Johannsson, M.F. Fallon, J. J. Leonard and J.B. McDonald, IJRR '14

[1] ElasticFusion: Real-Time Dense SLAM and Light Source Estimation, T. Whelan, R. F. Salas-Moreno, B. Glocker, A. J. Davison and S. Leutenegger, IJRR '16 [2] ElasticFusion: Dense SLAM Without A Pose Graph, T. Whelan, S. Leutenegger, R. F. Salas-Moreno, B. Glocker and A. J. Davison, RSS '15

Martin Rünz and Lourdes Agapito. Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects. 2017 IEEE International Conference on Robotics and Automation (ICRA)

RGBD and LIDAR:

Other open source projects

DynaSLAM A SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

openvslam A Versatile Visual SLAM Framework

License

CC0

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].