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Recent work on 3D object detection advocates point cloud voxelization in birds-eye view, where objects preserve their physical dimensions and are naturally separable.
Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Earlier work this paper cites.
Fast r-cnn
R. Girshick · 2015
Earlier work this paper cites.
Voting for voting in online point cloud object detection
D. Z. Wang and I. Posner · 2015
Earlier work this paper cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Earlier work this paper cites.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Earlier work this paper cites.
Vehicle detection from 3d lidar using fully convolutional network
B. Li, T. Zhang, and T. Xia · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
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.
Yolo9000: Better, faster, stronger
J. Redmon and A. Farhadi · 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.
3d fully convolutional network for vehicle detection in point cloud
B. Li · 2017
Cited alongside, same era.
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.
Joint 3d proposal generation and object detection from view aggregation
J. Ku, M. Mozifian, J. Lee, A. Harakeh, and S. L. Waslander · 2018
Later among the works it cites.
Complex-yolo: an euler-region-proposal for real-time 3d object detection on point clouds
M. Simony, S. Milzy, K. Amendey, and H.-M. Gross · 2018
Later among the works it cites.
PointFusion: Deep sensor fusion for 3d bounding box estimation
D. Xu, D. Anguelov, and A. Jain · 2018
Later among the works it cites.
Deep continuous fusion for multi-sensor 3d object detection
M. Liang, B. Yang, S. Wang, and R. Urtasun · 2018
Later among the works it cites.
Hdnet: Exploiting hd maps for 3d object detection
B. Yang, M. Liang, and R. Urtasun · 2018
Later among the works it cites.
Second: Sparsely embedded convolutional detection
Y. Yan, Y. Mao, and B. Li · 2018
Later among the works it cites.
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C. R. Qi, W. Liu, C. Wu, H. Su, 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
Cited alongside, same era.
Pixor: Real-time 3d object detection from point clouds
B. Yang, W. Luo, and R. Urtasun · 2018
Cited alongside, same era.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Y. Zhou and O. Tuzel · 2018
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
Cited alongside, same era.
Focal loss for dense object detection
T. Lin, P. Goyal, R. Girshick, K. He, and P. Dollar · 2018
Cited alongside, same era.
Pointpillars: Fast encoders for object detection from point clouds
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom · 2019
Closest in time.
LaserNet: An efficient probabilistic 3D object detector for autonomous driving
G. P. Meyer, A. Laddha, E. Kee, C. Vallespi-Gonzalez, and C. K. Wellington · 2019
Closest in time.
Mvx-net: Multimodal voxelnet for 3d object detection
V. A. Sindagi, Y. Zhou, and O. Tuzel · 2019
Closest in time.
Pointrcnn: 3d object proposal generation and detection from point cloud
S. Shi, X. Wang, and H. Li · 2019
Closest in time.
Multi-task multi-sensor fusion for 3d object detection
M. Liang*, B. Yang*, Y. Chen, R. Hu, and R. Urtasun · 2019
Closest in time.