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Camera and lidar are important sensor modalities for robotics in general and self-driving cars in particular.
Are we ready for autonomous driving? the KITTI vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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The Cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Vehicle detection from 3d lidar using fully convolutional network
B. Li, T. Zhang, and T. Xia · 2016
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Multi-view 3d object detection network for autonomous driving
X. Chen, H. Ma, J. Wan, B. Li, and T. Xia · 2017
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The Mapillary Vistas dataset for semantic understanding of street scenes
N. Gerhard, T. Ollmann, S. R. Bulo, and P. Kontschieder · 2017
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On calibration of modern neural networks
C. Guo, G. Pleiss, Y. Sun, and K. Q. Weinberger · 2017
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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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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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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Sdc-net: Video prediction using spatially-displaced convolution
F. A. Reda, G. Liu, K. J. Shih, R. Kirby, J. Barker, D. Tarjan, A. Tao, and B. Catanzaro · 2018
Cited alongside, same era.
Complex-yolo: Real-time 3d object detection on point clouds
M. Simon, S. Milz, K. Amende, and H.-M. Gross · 2018
Cited alongside, same era.
L. N. Smith · 2018
Cited alongside, same era.
Fusing bird’s eye view lidar point cloud and front view camera image for 3d object detection
Z. Wang, W. Zhan, and M. Tomizuka · 2018
Cited alongside, same era.
SECOND: Sparsely embedded convolutional detection
Y. Yan, Y. Mao, and B. Li · 2018
Cited alongside, same era.
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.
Orthographic feature transform for monocular 3d object detection
T. Roddick, A. Kendall, and R. Cipolla · 2019
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Pointrcnn: 3d object proposal generation and detection from point cloud
S. Shi, X. Wang, and H. Li · 2019
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Disentangling monocular 3d object detection
A. Simonelli, S. Rota Bulo, L. Porzi, M. Lopez-Antequera, and P. Kontschieder · 2019
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Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Y. Wang, W.-L. Chao, D. Garg, B. Hariharan, M. Campbell, and K. Q. Weinberger · 2019
Closest in time.
Frustum convnet: Sliding frustums to aggregate local point-wise features for amodal 3d object detection
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PIXOR: Real-time 3d object detection from point clouds
B. Yang, W. Luo, and R. Urtasun · 2018
Cited alongside, same era.
Ipod: Intensive point-based object detector for point cloud
Z. Yang, Y. Sun, S. Liu, X. Shen, and J. Jia · 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.
Panoptic-deeplab
B. Cheng, M. D. Collins, Y. Zhu, T. Liu, T. S. Huang, H. Adam, and L.-C. Chen · 2019
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
Cited alongside, same era.
Multi-task multi-sensor fusion for 3d object detection
M. Liang, B. Yang, Y. Chen, R. Hu, and R. Urtasun · 2019
Cited alongside, same era.
Sensor fusion for joint 3d object detection and semantic segmentation
G. P. Meyer, J. Charland, D. Hegde, A. Laddha, and C. Vallespi-Gonzalez · 2019
Cited alongside, same era.
Z. Wang and K. Jia · 2019
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Monocular 3d object detection with pseudo-lidar point cloud
X. Weng and K. Kitani · 2019
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Std: Sparse-to-dense 3d object detector for point cloud
Z. Yang, Y. Sun, S. Liu, X. Shen, and J. Jia · 2019
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Class-balanced grouping and sampling for point cloud 3d object detection
B. Zhu, Z. Jiang, X. Zhou, Z. Li, and G. Yu · 2019
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Improving semantic segmentation via video propagation and label relaxation
Y. Zhu, K. Sapra, F. A. Reda, K. J. Shih, S. Newsam, A. Tao, and B. Catanzaro · 2019
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nuscenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
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Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Y. You, Y. Wang, W.-L. Chao, D. Garg, G. Pleiss, B. Hariharan, M. Campbell, and K. Q. Weinberger · 2020
Closest in time.