Fetching the paper…
Reading the bibliography…
For robotic interaction in environments shared with other agents, access to volumetric and semantic maps of the scene is crucial.
W. E. Lorensen and H. E. Cline, “Marching cubes: A high resolution 3d surface construction algorithm,”
1987
Earlier work this paper cites.
S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. Newcombe, P. Kohli, J. Shotton, S. Hodges, D. Freeman, A. Davison,
2011
Earlier work this paper cites.
T. Whelan, M. Kaess, M. Fallon, H. Johannsson, J. Leonard, and J. McDonald, “Kintinuous: Spatially extended kinectfusion,” 2012
2012
Earlier work this paper cites.
J. Mason and B. Marthi, “An object-based semantic world model for long-term change detection and semantic querying,” in
2012
Earlier work this paper cites.
A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard, “Octomap: An efficient probabilistic 3d mapping framework based on octrees,”
2013
Earlier work this paper cites.
R. F. Salas-Moreno, R. A. Newcombe, H. Strasdat, P. H. Kelly, and A. J. Davison, “Slam++: Simultaneous localisation and mapping at the level of objects,” in
2013
Earlier work this paper cites.
R. Finman, T. Whelan, M. Kaess, and J. J. Leonard, “Toward lifelong object segmentation from change detection in dense rgb-d maps,” in
2013
Earlier work this paper cites.
K. Tateno, F. Tombari, and N. Navab, “Real-time and scalable incremental segmentation on dense SLAM,” in
2015
Earlier work this paper cites.
T. Whelan, S. Leutenegger, R. Salas-Moreno, B. Glocker, and A. Davison, “Elasticfusion: Dense slam without a pose graph,” in
2015
Earlier work this paper cites.
T. Krajník, J. Pulido Fentanes, M. Hanheide, and T. Duckett, “Persistent localization and life-long mapping in changing environments using the frequency map enhancement,” in
2016
Earlier work this paper cites.
H. Oleynikova, Z. Taylor, M. Fehr, R. Siegwart, and J. Nieto, “Voxblox: Incremental 3d euclidean signed distance fields for on-board mav planning,” in
2017
Earlier work this paper cites.
J. McCormac, A. Handa, A. Davison, and S. Leutenegger, “Semanticfusion: Dense 3d semantic mapping with convolutional neural networks,” in
2017
Earlier work this paper cites.
M. Rünz and L. Agapito, “Co-fusion: Real-time segmentation, tracking and fusion of multiple objects,” in
2017
Cited alongside, same era.
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask r-cnn,” in
2017
Cited alongside, same era.
M. Fehr, F. Furrer, I. Dryanovski, J. Sturm, I. Gilitschenski, R. Siegwart, and C. Cadena, “Tsdf-based change detection for consistent long-term dense reconstruction and dynamic object discovery,” in
2017
Cited alongside, same era.
M. Bloesch, M. Burri, S. Omari, M. Hutter, and R. Siegwart, “Iterated extended kalman filter based visual-inertial odometry using direct photometric feedback,”
2017
Cited alongside, same era.
M. Runz, M. Buffier, and L. Agapito, “MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects,” in
2018
Cited alongside, same era.
V. Reijgwart, A. Millane, H. Oleynikova, R. Siegwart, C. Cadena, and J. Nieto, “Voxgraph: Globally consistent, volumetric mapping using signed distance function submaps,”
2019
Later among the works it cites.
B. Xu, W. Li, D. Tzoumanikas, M. Bloesch, A. Davison, and S. Leutenegger, “Mid-fusion: Octree-based object-level multi-instance dynamic slam,” in
2019
Later among the works it cites.
L. Tang, Y. Wang, X. Ding, H. Yin, R. Xiong, and S. Huang, “Topological local-metric framework for mobile robots navigation: a long term perspective,”
2019
Later among the works it cites.
X. Zuo, P. Geneva, W. Lee, Y. Liu, and G. Huang, “Lic-fusion: Lidar-inertial-camera odometry,” in
2019
Later among the works it cites.
Y. Wu, A. Kirillov, F. Massa, W.-Y. Lo, and R. Girshick, “Detectron2,”
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Mccormac, R. Clark, M. Bloesch, A. Davison, and S. Leutenegger, “Fusion++: Volumetric Object-Level SLAM,” in
2018
Cited alongside, same era.
E. Vespa, N. Nikolov, M. Grimm, L. Nardi, P. H. J. Kelly, and S. Leutenegger, “Efficient octree-based volumetric slam supporting signed-distance and occupancy mapping,”
2018
Cited alongside, same era.
M. T. Lázaro, R. Capobianco, and G. Grisetti, “Efficient long-term mapping in dynamic environments,” in
2018
Cited alongside, same era.
G. Narita, T. Seno, T. Ishikawa, and Y. Kaji, “PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things,”
2019
Cited alongside, same era.
M. Strecke and J. Stueckler, “EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association,” in
2019
Cited alongside, same era.
M. Grinvald, F. Furrer, T. Novkovic, J. J. Chung, C. Cadena, R. Siegwart, and J. Nieto, “Volumetric instance-aware semantic mapping and 3d object discovery,”
2019
Cited alongside, same era.
A. Kirillov, K. He, R. Girshick, C. Rother, and P. Dollár, “Panoptic segmentation,” in
2019
Cited alongside, same era.
J. Wald, A. Avetisyan, N. Navab, F. Tombari, and M. Niessner, “Rio: 3d object instance re-localization in changing indoor environments,” in
2019
Later among the works it cites.
E. Vespa, N. Funk, P. H. Kelly, and S. Leutenegger, “Adaptive-resolution octree-based volumetric slam,” in
2019
Later among the works it cites.
A. Rosinol, M. Abate, Y. Chang, and L. Carlone, “Kimera: An Open-Source Library for Real-Time Metric-Semantic Localization and Mapping,” in
2020
Later among the works it cites.
E. Langer, T. Patten, and M. Vincze, “Robust and efficient object change detection by combining global semantic information and local geometric verification,” in
2020
Later among the works it cites.
S. Macenski, D. Tsai, and M. Feinberg, “Spatio-temporal voxel layer: A view on robot perception for the dynamic world,”
2020
Later among the works it cites.
L. Schmid, V. Reijgwart, L. Ott, J. Nieto, R. Siegwart, and C. Cadena, “A unified approach for autonomous volumetric exploration of large scale environments under severe odometry drift,”
2021
Closest in time.
R. Long, C. Rauch, T. Zhang, V. Ivan, and S. Vijayakumar, “RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects,”
2021
Closest in time.