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

Index

• Libraries
• Dataset
• Tools
• Projects
• Learn
• Miscellaneous

Libraries

Basic vision and trasformation libraries

• OpenCV
• Eigen
• Sophus
• ROS
• PointCloud

Thread-safe queue libraries

• concurrentqueue
• Intel® TBB
• Facebook folly PC

Loop detection

• dorian3d

Graph Optimization

• ceres-solver
• g2o
• gtasm
• Vertigo

Map library

• ETHZ ASL/Grip Map
• OmniMapper
• OctoMap

Dataset

Dataset for benchmark/test/experiment/evalutation

• TUM Universtiy
• KTTI Vision benchmark
• UNI-Freiburg

Tools

• rgbd-datasest tool from TUM

Projects

RGB (Monocular):

• 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. Available on ROS

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

• ORB-SLAM. Available on ROS

[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.

• Nister's Five Point Algorithm for Essential Matrix estimation, and FAST features, with a KLT tracker

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.

• SVO-SLAM. Available on ROS

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):

• OpenCV RGBD-Odometry (Visual Odometry based RGB-D images)

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

• Dense Visual SLAM for RGB-D Cameras. Available on ROS

[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.

• RTAB MAP - Real-Time Appearance-Based Mapping. Available on ROS

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

• ORB2-SLAM. Available on ROS

[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.

RGBD and LIDAR:

• Google's cartographer. Available on ROS

License