A Centralized Collaborative Monocular SLAM System with Relocalization
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0479-2_66
Reference13 articles.
1. Schmuck, P., Chli, M.: CCM-SLAM: Robust and efficient centralized collaborative monocular simultaneous localization and mapping for robotic teams. Journal of Field Robotics 36(4), 763–781 (2019)
2. Gao, X., et al.: LDSO: Direct sparse odometry with loop closure. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE (2018)
3. Engel, J., Schöps, T., Cremers, D.: LSD-SLAM: Large-scale direct monocular SLAM. European conference on computer vision, pp. 834–849. Springer, Cham (2014)
4. Mur-Artal, R., Tardos, J.D.: ORB-SLAM2: an open-source SLAM system for monocular, stereo, and RGB-D cameras. IEEE Trans. Robot 33(5), 1255–1262 (2017)
5. Campos, C., et al.: Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam. IEEE Transactions on Robotics 37(6), 1874–1890 (2021)
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