[1] KERL C, STURM J, CREMERS D. Dense visual SLAM for RGB-D cameras[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems, November 3-7, 2013, Tokyo, Japan. New York:IEEE, 2013:2100-2106.
[2] MUR-ARTAL R, TARDOS J D. ORB-SLAM2:an open-source SLAM system for monocular, stereo and RGB-D cameras[J]. IEEE transactions on robotics, 2017, 33(5):1255-1262.
[3] DEWAN A, CASELITZ T, TIPALDI G D, et al. Motion- based detection and tracking in 3D LiDAR scans[C]//IEEE International Conference on Robotics and Automation, May 16-21, 2016, Stockholm, Sweden. New York:IEEE, 2016:4508-4513.
[4] LU Z, HU Z, UCHIMURA K. SLAM estimation in dynamic outdoor environments[J]. International journal of humanoid robotics, 2010, 7(2):315-330.
[5] SUN Y, LIU M, MENG M Q H. Improving RGB-D SLAM in dynamic environments:a motion removal approach[J]. Robotics and autonomous systems, 2017, 89:110-122.
[6] B BESCóS, JM FáCIL, CIVERA J, et al. Dynaslam: tracking, mapping and inpainting in dynamic scenes[J]. IEEE robotics and automation letters, 2018, 3(4): 4076-4083.
[7] JIANG C, PAUDEL D P, FOUGEROLLE Y, et al. Static and dynamic objects analysis as a 3D vector field[C]//IEEE International Conference on 3D Vision, October 10-12, 2017, Qingdao, China. New York:IEEE, 2017:234-243.
[8] JAIMEZ M, KERL C, GONZALEZ-JIMENEZ J, et al. Fast odometry and scene flow from RGB-D cameras based on geometric clustering[C]//IEEE International Conference on Robotics and Automation, May 29-June 3, 2017, Singapore. New York:IEEE, 2017:3992-3999.
[9] SCONA R, JAIMEZ M, PETILLOT Y R, et al. Staticfusion: background reconstruction for dense RGB-D slam in dynamic environments[C]//IEEE International Conference on Robotics and Automation, May 21-25, 2018, Brisbane, QLD, Australia. New York:IEEE, 2018:3849-3856.
[10] YANG S, SCHERER S. CubeSLAM:monocular 3D object SLAM[J]. IEEE transactions on robotics, 2019, 35(4):925-938.
[11] HUANG J, YANG S, MU T J, et al. ClusterVO: clustering moving instances and estimating visual odometry for self and surroundings[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 13-19, 2020, Seattle, WA, USA. New York: IEEE, 2020:2168-2177.
[12] ZHANG J, HENEIN M, MAHONY R, et al. VDO-SLAM:a visual dynamic object-aware SLAM system[EB/OL]. (2020-05-25) [2021-09-13]. https:// arxiv.org/abs/2005.11052.
[13] BESCOS B, CAMPOS C, TARDóS J D, et al. Dynaslam II:tightly-coupled multi-object tracking and SLAM[J]. IEEE robotics and automation letters, 2021, 6(3):5191-5198.
[14] DUBé R, DUGAS D, STUMM E, et al. Segmatch: segment based loop-closure for 3D point clouds[EB/OL]. (2019-01-15) [2021-09-13]. https:// arxiv.org/abs/1609.07720v2.
[15] STURM J, ENGELHARD N, ENDRES F, et al. A benchmark for the evaluation of RGB-D SLAM systems[ C]//IEEE/RSJ International Conference on Intelligent Robots and Systems, October 7-12, 2012, Vilamoura, Algarve, Portugal. New York:IEEE, 2012: 573-580.