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Object detection in point clouds is an important aspect of many robotics applications such as autonomous driving.
Lidar-based 3d object perception
M. Himmelsbach, A. Mueller, T. Lüttel, and H.-J. Wünsche · 2008
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A perception-driven autonomous urban vehicle
J. Leonard, J. How, S. Teller, M. Berger, S. Campbell, G. Fiore, L. Fletcher, E. Frazzoli, A. Huang, S. Karaman, et al · 2008
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The pascal visual object classes (VOC) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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Rectified linear units improve restricted boltzmann machines
V. Nair and G. E. Hinton · 2010
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Are we ready for autonomous driving? the KITTI vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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3d object proposals for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, A. G. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Vehicle detection from 3d lidar using fully convolutional network
B. Li, T. Zhang, and T. Xia · 2016
Cited alongside, same era.
SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
Multi-view 3d object detection network for autonomous driving
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia · 2017
Cited alongside, same era.
Vote3deep: Fast object detection in 3d point clouds using efficient convolutional neural networks
M. Engelcke, D. Rao, D. Z. Wang, C. H. Tong, and I. Posner · 2017
Cited alongside, same era.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
3d fully convolutional network for vehicle detection in point cloud
B. Li · 2017
Cited alongside, same era.
Joint 3d proposal generation and object detection from view aggregation
J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. Waslander · 2018
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Deep continuous fusion for multi-sensor 3d object detection
M. Liang, B. Yang, S. Wang, and R. Urtasun · 2018
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Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2018
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Frustum pointnets for 3d object detection from RGB-D data
C. R. Qi, W. Liu, C. Wu, H. Su, and L. J. Guibas · 2018
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Roarnet: A robust 3d object detection based on region approximation refinement
K. Shin, Y. Kwon, and M. Tomizuka · 2018
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Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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Subcategory-aware convolutional neural networks for object proposals and detection
Y. Xiang, W. Choi, Y. Lin, and S. Savarese · 2017
Cited alongside, same era.
M. Simon, S. Milz, K. Amende, and H.-M. Gross · 2018
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SECOND: Sparsely embedded convolutional detection
Y. Yan, Y. Mao, and B. Li · 2018
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HDNET: Exploiting HD maps for 3d object detection
B. Yang, M. Liang, and R. Urtasun · 2018
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PIXOR: Real-time 3d object detection from point clouds
B. Yang, W. Luo, and R. Urtasun · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Y. Zhou and O. Tuzel · 2018
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