G. Chahine and C. Pradalier, Survey of monocular slam algorithms in natural environments, 2018 15th Conference on Computer and Robot Vision (CRV), pp.345-352, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02278023

H. Bay, T. Tuytelaars, and L. Van-gool, Surf: Speeded up robust features, Computer Vision -ECCV, pp.404-417, 2006.

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, Orb: An efficient alternative to sift or surf, 2011 International Conference on Computer Vision, pp.2564-2571, 2011.

J. Engel, V. Koltun, and D. Cremers, Direct sparse odometry, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.

P. Newman, D. Cole, and K. Ho, Outdoor slam using visual appearance and laser ranging, Proceedings 2006 IEEE International Conference on Robotics and Automation, pp.1180-1187, 2006.

D. M. Cole and P. M. Newman, Using laser range data for 3d slam in outdoor environments, Proceedings 2006 IEEE International Conference on Robotics and Automation, pp.1556-1563, 2006.

J. Sheng, S. Tano, and S. Jia, Mobile robot localization and map building based on laser ranging and ptam, 2011 IEEE International Conference on Mechatronics and Automation, pp.1015-1020, 2011.

G. Klein and D. Murray, Parallel tracking and mapping for small ar workspaces, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, pp.225-234, 2007.

Z. Zhang, R. Zhao, E. Liu, K. Yan, and Y. Ma, Scale estimation and correction of the monocular simultaneous localization and mapping (slam) based on fusion of 1d laser range finder and vision data, Sensors, vol.18, issue.6, 2018.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2003.

R. Mur-artal and J. D. Tardós, ORB-SLAM2: an open-source SLAM system for monocular, stereo, and RGB-D cameras, IEEE Trans. Robotics, vol.33, issue.5, pp.1255-1262, 2017.

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