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Reliable and accurate 3D object detection is a necessity for safe autonomous driving.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
Earlier work this paper cites.
3d object proposals for accurate object class detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G Berneshawi, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Data-driven 3d voxel patterns for object category recognition
Yu Xiang, Wongun Choi, Yuanqing Lin, and Silvio Savarese · 2015
Earlier work this paper cites.
Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
Earlier work this paper cites.
Vehicle detection from 3d lidar using fully convolutional network
Bo Li, Tianlei Zhang, and Tian Xia · 2016
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
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Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image
Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, and Thierry Chateau · 2017
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Vote3deep: Fast object detection in 3d point clouds using efficient convolutional neural networks
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, and Ingmar Posner · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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3d fully convolutional network for vehicle detection in point cloud
Bo Li · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B Girshick, Kaiming He, Bharath Hariharan, and Serge J Belongie · 2017
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3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Košecká · 2017
Earlier work this paper cites.
Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks
Cuong Cao Pham and Jae Wook Jeon · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
Cited alongside, same era.
Subcategory-aware convolutional neural networks for object proposals and detection
Yu Xiang, Wongun Choi, Yuanqing Lin, and Silvio Savarese · 2017
Cited alongside, same era.
Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
Cited alongside, same era.
A general pipeline for 3d detection of vehicles
Xinxin Du, Marcelo H Ang Jr, Sertac Karaman, and Daniela Rus · 2018
Cited alongside, same era.
Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven Waslander · 2018
Complex urban dataset with multi-level sensors from highly diverse urban environments
Jinyong Jeong, Younggun Cho, Young-Sik Shin, Hyunchul Roh, and Ayoung Kim · 2019
Later among the works it cites.
Realtime 3d object detection for automated driving using stereo vision and semantic information
Hendrik Königshof, Niels Ole Salscheider, and Christoph Stiller · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Gs3d: An efficient 3d object detection framework for autonomous driving
Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, and Xiaogang Wang · 2019
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Stereo r-cnn based 3d object detection for autonomous driving
Peiliang Li, Xiaozhi Chen, and Shaojie Shen · 2019
Later among the works it cites.
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Cited alongside, same era.
Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
Cited alongside, same era.
Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Cited alongside, same era.
Multi-level fusion based 3d object detection from monocular images
Bin Xu and Zhenzhong Chen · 2018
Cited alongside, same era.
Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
Cited alongside, same era.
Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
Cited alongside, same era.
Hdnet: Exploiting hd maps for 3d object detection
Bin Yang, Ming Liang, and Raquel Urtasun · 2018
Cited alongside, same era.
Ming Liang, Bin Yang, Yun Chen, Rui Hu, and Raquel Urtasun · 2019
Later among the works it cites.
Sensor fusion for joint 3d object detection and semantic segmentation
Gregory P Meyer, Jake Charland, Darshan Hegde, Ankit Laddha, and Carlos Vallespi-Gonzalez · 2019
Later among the works it cites.
Lasernet: An efficient probabilistic 3d object detector for autonomous driving
Gregory P Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, and Carl K Wellington · 2019
Later among the works it cites.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Later among the works it cites.
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger · 2019
Later among the works it cites.
Std: Sparse-to-dense 3d object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
Later among the works it cites.
Object-centric stereo matching for 3d object detection
Alex D Pon, Jason Ku, Chengyao Li, and Steven L Waslander · 2020
Closest in time.
From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Closest in time.
Train in germany, test in the usa: Making 3d object detectors generalize
Yan Wang, Xiangyu Chen, Yurong You, Erran Li Li, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao · 2020
Closest in time.
Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2020
Closest in time.
Zoomnet: Part-aware adaptive zooming neural network for 3d object detection
X. Ye X. Tan W. Yang S. Wen E. Ding A. Meng L. Huang Z. Xu, W. Zhang · 2020
Closest in time.