Visual Simultaneous Localization and Mapping Algorithm Combining Mixed Attention Instance Segmentation

Haowei Jiang; Mengyuan Chen; Xuechao Yuan

doi:10.3788/LOP213265

[1] Zhang C J, Zhang Y H. Research on SLAM loop closure detection method based on HHO algorithm[J]. Laser & Optoelectronics Progress, 58, 1215006(2021).

[2] Xu X S, Zeng Y. Visual simultaneous localization and mapping algorithm based on dynamic target detection[J]. Laser & Optoelectronics Progress, 58, 1615003(2021).

[3] Cadena C, Carlone L, Carrillo H et al. Past, present, and future of simultaneous localization and mapping: toward the robust-perception age[J]. IEEE Transactions on Robotics, 32, 1309-1332(2016).

[4] Lu J, Liu Y H, Zhang R F. Semantic-based visual odometry towards dynamic scenes[J]. Laser & Optoelectronics Progress, 58, 0611001(2021).

[5] Zhang J N, Su Q X, Liu P Y et al. An improved VSLAM algorithm based on adaptive feature map[J]. Acta Automatica Sinica, 45, 553-565(2019).

[6] Chen X H, Cai Y F, Tang Y. A visual SLAM algorithm based on line point invariants[J]. Robot, 42, 485-493(2020).

[7] Deschaud J E. IMLS-SLAM: scan-to-model matching based on 3D data[C], 2480-2485(2018).

[8] Zhan H, Zhu Z C, Zhang Y H et al. Loop-closure detection using image sequencing based on ResNet[J]. Laser & Optoelectronics Progress, 58, 0411003(2021).

[9] Konolige K, Agrawal M. FrameSLAM: from bundle adjustment to real-time visual mapping[J]. IEEE Transactions on Robotics, 24, 1066-1077(2008).

[10] Olson E B. Real-time correlative scan matching[C], 4387-4393(2009).

[11] Cummins M, Newman P. Appearance-only SLAM at large scale with FAB-MAP 2.0[J]. The International Journal of Robotics Research, 30, 1100-1123(2011).

[12] Botterill T, Mills S, Green R. Bag-of-words-driven, single-camera simultaneous localization and mapping[J]. Journal of Field Robotics, 28, 204-226(2011).

[13] 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, 33, 1255-1262(2017).

[14] Arandjelović R, Zisserman A. Visual vocabulary with a semantic twist[M]. Cremers D, Reid I, Saito H, et al. Computer vision-ACCV 2014. Lecture notes in computer science, 9003, 178-195(2015).

[15] Zhong F W, Wang S, Zhang Z Q et al. Detect-SLAM: making object detection and SLAM mutually beneficial[C], 1001-1010(2018).

[16] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9905, 21-37(2016).

[17] Wang Z M, Zhang Q, Li J S et al. A computationally efficient semantic SLAM solution for dynamic scenes[J]. Remote Sensing, 11, 1363(2019).

[18] Yu C, Liu Z X, Liu X J et al. DS-SLAM: a semantic visual SLAM towards dynamic environments[C], 1168-1174(2018).

[19] Badrinarayanan V, Kendall A, Cipolla R. SegNet: a deep convolutional encoder-decoder architecture for image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 2481-2495(2017).

[20] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2980-2988(2017).

[21] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).

[22] Geiger A, Lenz P, Stiller C et al. Vision meets robotics: the KITTI dataset[J]. The International Journal of Robotics Research, 32, 1231-1237(2013).