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There are two critical sensors for 3D perception in autonomous driving, the camera and the LiDAR.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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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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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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PointNet: Deep learning on point sets for 3d classification and segmentation
C. Qi, Hao Su, Kaichun Mo, and L. Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L. Waslander · 2018
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Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Binh Yang, Shenlong Wang, and R. Urtasun · 2018
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Frustum pointnets for 3d object detection from rgb-d data
C. Qi, W. Liu, Chenxia Wu, Hao Su, and L. Guibas · 2018
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SECOND: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and B. Li · 2018
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VoxelNet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 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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Multi-task multi-sensor fusion for 3d object detection
Ming Liang, Binh Yang, Yun Chen, Rui Hu, and R. Urtasun · 2019
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Orthographic feature transform for monocular 3d object detection
Thomas Roddick, Alex Kendall, and R. Cipolla · 2019
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PointRCNN: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
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Mvx-net: Multimodal voxelnet for 3d object detection
Vishwanath A Sindagi, Yin Zhou, and Oncel Tuzel · 2019
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nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Mmdetection3d: Open-mmlab next-generation platform for general 3d object detection
MMDetection3D Contributors · 2020
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EPNet: Enhancing point features with image semantics for 3d object detection
Tengteng Huang, Zhe Liu, Xiwu Chen, and X. Bai · 2020
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Clocs: Camera-lidar object candidates fusion for 3d object detection
Su Pang, Daniel Morris, and Hayder Radha · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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PV-RCNN: Point-voxel feature set abstraction for 3d object detection
Centerfusion: Center-based radar and camera fusion for 3d object detection
Ramin Nabati and Hairong Qi · 2021
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Is pseudo-lidar needed for monocular 3d object detection?
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 2021
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Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
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Depth-conditioned dynamic message propagation for monocular 3d object detection
Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, and Li Zhang · 2021
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Progressive coordinate transforms for monocular 3d object detection
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Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Cited alongside, same era.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
Cited alongside, same era.
Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
Cited alongside, same era.
Pillar-based object detection for autonomous driving
Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, and Justin M. Solomon · 2020
Cited alongside, same era.
3DSSD: Point-based 3d single stage object detector
Zetong Yang, Y. Sun, Shu Liu, and Jiaya Jia · 2020
Cited alongside, same era.
3D-CVF: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection
Jin Hyeok Yoo, Yeocheol Kim, Ji Song Kim, and J. Choi · 2020
Cited alongside, same era.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du · 2021
Cited alongside, same era.
Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, and Xiangyang Xue · 2021
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FusionPainting: Multimodal fusion with adaptive attention for 3d object detection
Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Bin Zhou, and Liangjun Zhang · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Multimodal virtual point 3d detection
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
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Objects are different: Flexible monocular 3d object detection
Yunpeng Zhang, Jiwen Lu, and Jie Zhou · 2021
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Monocular 3d object detection: An extrinsic parameter free approach
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang · 2021
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Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, and Chiew-Lan Tai · 2022
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Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, et al · 2022
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Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai · 2022
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Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin Solomon · 2022
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Enze Xie, Zhiding Yu, Daquan Zhou, Jonah Philion, Anima Anandkumar, Sanja Fidler, Ping Luo, and Jose M. Alvarez · 2022
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