Fetching the paper…
Reading the bibliography…
We propose an online object-level SLAM system which builds a persistent and accurate 3D graph map of arbitrary reconstructed objects.
A volumetric method for building complex models from range images
B. Curless and M. Levoy · 1996
Earlier work this paper cites.
g 2 o g^{2}o : A General Framework for Graph Optimization
R. Kümmerle, G. Grisetti, H. Strasdat, K. Konolige, and W. Burgard · 2011
Earlier work this paper cites.
BRISK: Binary robust invariance scalable keypoints
S. Leutenegger, M. Chli, and R. Siegwart · 2011
Earlier work this paper cites.
KinectFusion: Real-Time Dense Surface Mapping and Tracking
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohli, J. Shotton, S. Hodges, and A. Fitzgibbon · 2011
Earlier work this paper cites.
DTAM: Dense Tracking and Mapping in Real-Time
R. A. Newcombe, S. Lovegrove, and A. J. Davison · 2011
Earlier work this paper cites.
ORB: an efficient alternative to SIFT or SURF
E. Rublee, V. Rabaud, K. Konolige, and G. Bradski · 2011
Earlier work this paper cites.
Model learning and real-time tracking using multi-resolution surfel maps
J. Stückler and S. Behnke · 2012
Earlier work this paper cites.
A Benchmark for the Evaluation of RGB-D SLAM Systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
Earlier work this paper cites.
Kintinuous: Spatially Extended KinectFusion
T. Whelan, J. B. McDonald, M. Kaess, M. Fallon, H. Johannsson, and J. J. Leonard · 2012
Earlier work this paper cites.
Exploiting Domain Knowledge for Object Discovery
A. Collet, B. Xiong, C. Gurau, M. Hebert, and S. S. Srinivasa · 2013
Earlier work this paper cites.
Toward lifelong object segmentation from change detection in dense RGB-D maps
R. Finman, T. Whelan, and M. Kaess · 2013
Earlier work this paper cites.
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects
R. F. Salas-Moreno, R. A. Newcombe, H. Strasdat, P. H. J. Kelly, and A. J. Davison · 2013
Earlier work this paper cites.
Hierarchical object discovery and dense modelling from motion cues in RGB-D video
J. Stückler and S. Behnke · 2013
Earlier work this paper cites.
Efficient Organized Point Cloud Segmentation with Connected Components
A. Trevor, S. Gedikli, R. Rusu, and H. Christensen · 2013
Earlier work this paper cites.
Dense scene reconstruction with points of interest
Q. Zhou and V. Koltun · 2013
Earlier work this paper cites.
Elastic Fragments for Dense Scene Reconstruction
Q. Zhou, S. Miller, and V. Koltun · 2013
Cited alongside, same era.
SLAM with object discovery, modeling and mapping
S. Choudhary, A. J. B. Trevor, H. I. Christensen, and F. Dellaert · 2014
Cited alongside, same era.
Dense 3d semantic mapping of indoor scenes from rgb-d images
A. Hermans, G. Floros, and B. Leibe · 2014
Cited alongside, same era.
Opengv: A unified and generalized approach to real-time calibrated geometric vision
L. Kneip and P. Furgale · 2014
Cited alongside, same era.
Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction
L. Ma and G. Sibley · 2014
Cited alongside, same era.
ORB-SLAM: Tracking and Mapping Recognizable Features
R. Mur-Artal and J. D. Tardós · 2014
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Later among the works it cites.
When 2.5D is not enough: Simultaneous reconstruction, segmentation and recognition on dense slam
K. Tateno, F. Tombari, and N. Navab · 2016
Later among the works it cites.
Tensorpack
Y. Wu et al · 2016
Later among the works it cites.
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, and C. Theobalt · 2017
Later among the works it cites.
Lie groups for 2d and 3d transformations, 2017
E. Eade · 2017
Later among the works it cites.
TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery
M. Fehr, F. Furrer, D. Ivan, J. Sturm, I. Gilitschenski, R. Siegwart, and C. Cadena · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
The ycb object and model set: Towards common benchmarks for manipulation research
B. Calli, A. Singh, A. Walsman, P. Srinivasa S. and, Abbeel, and A. M. Dollar · 2015
Cited alongside, same era.
ShapeNet: An information-rich 3d model repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
Cited alongside, same era.
Robust Reconstruction of Indoor Scenes
S. Choi, Q. Zhou, and V. Koltun · 2015
Cited alongside, same era.
Monocular SLAM Supported Object Recognition
S. Pillai and J. J. Leonard · 2015
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
Real-time large scale dense RGB-D SLAM with volumetric fusion
T. Whelan, M. Kaess, H. Johannsson, M. F. Fallon, J. J. Leonard, and J. B. McDonald · 2015
Cited alongside, same era.
Later among the works it cites.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Later among the works it cites.
SemanticFusion: Dense 3D semantic mapping with convolutional neural networks
J. McCormac, A. Handa, A. J. Davison, and S. Leutenegger · 2017
Later among the works it cites.
ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
R. Mur-Artal and J. D. Tardós · 2017
Later among the works it cites.
Meaningful maps with object-oriented semantic mapping
N. Sünderhauf, T. T. Pham, Y. Latif, M. Milford, and I. Reid · 2017
Later among the works it cites.
Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Y. Xiang, T. Schmidt, V. Narayanan, and D. Fox · 2017
Later among the works it cites.
Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
A. Dai, , J. Sturm, and M. Nießner · 2018
Closest in time.
Real-time progressive 3d semantic segmentation for indoor scenes
Q. Pham, B. Hua, D. T. Nguyen, and S. Yeung · 2018
Closest in time.
Maskfusion: Real-time recognition, tracking and reconstruction of multiple moving objects
M. Rünz and L. Agapito · 2018
Closest in time.