[1] Fink G, Franke M, Lynch A F, et al.Visual Inertial SLAM: Application to Unmanned Aerial Vehicle[J]. IFAC-PapersOnline (S2405-8963), 2017, 50(1): 1965-1970. [2] Ros G, Sappa A D, Ponsa D, et al.Visual SLAM for Driverless Cars: a Brief Survey[C]//IEEE Workshop on Navigation, Perception, Accurate Positioning and Mapping for Intelligent Vehicles. Los Alamitos: IEEE Computer Society Press, 2012: Article No.3. [3] H¨oll M, Lepetit V. Monocular LSD-SLAM Integration Within AR System[EB/OL]. ArXiv:1702.02514 (2017-02-08) [2020-06-01].https://arxiv.org/pdf/1702.02514.pdf. [4] Cadena C, Carlone L, Carrillo H, et al.Past, Present, and Future of Simultaneous Localization and mapping: Towards the Robust-perception Age[J]. IEEE Transactions on Robotics (S1552-3098), 2016, 32(6): 1309-1332. [5] Karlsson N, Bernardo E D, Ostrowski J P, et al.The vSLAM Algorithm for Robust Localization and Mapping[C]//IEEE International Conference on Robotics and Automation. Barcelona, Spain: IEEE Press, 2005: 24-29. [6] Zhao Y, Smith J S, Karumanchi S H, et al.A. Closed-loop Benchmarking of Stereo Visual-inertial SLAM System: Understanding the Impact of Drift and Latency on Tracking Accuracy[C]//IEEE International Conference on Robotics and Automation. Paris, France: IEEE Press, 2020: 1105-1112. [7] Davison A J, Reid I D, Molton N D, et al.MonoSLAM: Real-time Single Camera SLAM[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 2007, 29(6): 1052-1067. [8] Klein G, Murray D.Parallel Tracking and Mapping for Small AR Workspaces[C]// 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality. Piscataway, NJ: IEEE Press, 2007: 225-234. [9] Endres F, Hess J, Sturm J, et al.3-D Mapping with an RGB-D Camera[J]. IEEE Transactions on Robotics (S1552-3098), 2014, 30(1): 177-187. [10] Mur-Artal J, Montiel J M M, Tardós J D. ORB-SLAM: a Versatile and Accurate Monocular SLAM System[J]. IEEE Transactions on Robotics (S1552-3098), 2015, 31(5): 1147-1163. [11] Mur-Artal R, Tardós J D.ORB-SLAM2: an Open-source SLAM System for Monocular, Stereo and RGB-D Cameras[J]. IEEE Transactions on Robotics (S1552-3098), 2017, 33(5): 1255-1262. [12] Rublee E, Rabaud V, Konolige K, et al.ORB: an Efficient Alternative to SIFT or SURF[C]//IEEE International Conference on Computer Vision (ICCV). Barcelona, Spain: IEEE Press, 2011: 2564-2571. [13] Lv Q, Lin H, Wang G, et al.ORB-SLAM-based Tracking and 3D Reconstruction for Robot Using Kinect 2.0[C]//2017 29th Chinese Control and Decision Conference (CCDC). Chongqing, China: IEEE Press, 2017: 3319-3324. [14] Elvira R, Tardós J D, Montiel J M M. ORBSLAM-Atlas: a Robust and Accurate Multi-map System[C]//IEEE/RSJ International Conference on Intelligent Robots and System. Macau, China: IEEE Press, 2019: 6253-6259. [15] Newcombe R A, Lovegrove S J, Davison A J.DTAM: Dense Tracking and Mapping in Real-time[C]//IEEE International Conference on Computer Vision (ICCV). Barcelona, Spain: IEEE Press, 2011: 2320-2327. [16] Engel J, Schöps T, Cremers D.LSD-SLAM: Large-scale Direct Monocular SLAM[C]//European Conference on Computer Vision. Zurich, Switzerland: Springer, 2014: 834-849. [17] Engel J, Koltum V, Cremers D.Direct Sparse Odometry[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (S0162-8828), 2018, 40(3): 611-625. [18] Forster C, Pizzoli M, Scaramuzza D.SVO: Fast Semi-direct Monocular Visual Odometry[C]//IEEE International Conference on Robotics and Automation (ICRA). Hong Kong, China: IEEE Press, 2014: 15-22. [19] Zubizarreta J, Aguinaga I, Montiel J M M. Direct Sparse Mapping[J]. IEEE Transaction on Robotics (S1552-3098), 2020, 36(4): 1363-1370. [20] Sturm J, Engelhard N, Endres F, et al.A Benchmark for the Evaluation of RGB-D SLAM Systems[C]//IEEE International Conference on Intelligent Robot Systems (IROS). Algarve, Portugal: IEEE Press, 2012: 573-580. |