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Fusing the camera and LiDAR information has become a de-facto standard for 3D object detection tasks.
The pascal visual object classes (voc) challenge
M. Everingham, L. Gool, Christopher K. I. Williams, J. Winn, and Andrew Zisserman · 2009
Earlier work this paper cites.
Are we ready for autonomous driving? the KITTI vision benchmark suite
Andreas Geiger, Philip Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Jixiang Wan, B. Li, and Tian Xia · 2017
Earlier work this paper cites.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2017
Earlier work this paper cites.
PointNet: Deep learning on point sets for 3d classification and segmentation
C. Qi, Hao Su, Kaichun Mo, and L. Guibas · 2017
Earlier work this paper cites.
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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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 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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Distant vehicle detection using radar and vision
Simon Chadwick, Will Maddern, and Paul Newman · 2019
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Rvnet: deep sensor fusion of monocular camera and radar for image-based obstacle detection in challenging environments
Vijay John and Seiichi Mita · 2019
Earlier work this paper cites.
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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A deep learning-based radar and camera sensor fusion architecture for object detection
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, and Markus Lienkamp · 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
Earlier work this paper cites.
MVF: End-to-end multi-view fusion for 3d object detection in lidar point clouds
Yin Zhou, Pei Sun, Y. Zhang, Dragomir Anguelov, J. Gao, Tom Y. Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2019
Earlier work this paper cites.
Class-balanced grouping and sampling for point cloud 3d object detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Mmdetection3d: Open-mmlab next-generation platform for general 3d object detection
MMDetection3D Contributors · 2020
Cited alongside, same era.
EPNet: Enhancing point features with image semantics for 3d object detection
Tengteng Huang, Zhe Liu, Xiwu Chen, and X. Bai · 2020
Cited alongside, same era.
Clocs: Camera-lidar object candidates fusion for 3d object detection
Su Pang, Daniel Morris, and Hayder Radha · 2020
Cited alongside, same era.
Lift, Splat, Shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and S. Fidler · 2020
Cited alongside, same era.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
Cited alongside, same era.
PV-RCNN: Point-voxel feature set abstraction for 3d object detection
RSN: Range sparse net for efficient, accurate lidar 3d object detection
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin F. Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, and Drago Anguelov · 2021
Later among the works it cites.
PointAugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
Later among the works it cites.
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
Later among the works it cites.
Progressive coordinate transforms for monocular 3d object detection
Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, and Xiangyang Xue · 2021
Later among the works it cites.
Fcos3d: Fully convolutional one-stage monocular 3d object detection
Tai Wang, Xinge Zhu, Jiangmiao Pang, and Dahua Lin · 2021
Later among the works it cites.
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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, P. Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, S. Ettinger, Maxim Krivokon, A. Gao, Aditya Joshi, Y. Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 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.
Rangedet: In defense of range view for lidar-based 3d object detection
Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, and Zhaoxiang Zhang · 2021
Cited alongside, same era.
Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Bin Zhou, and Liangjun Zhang · 2021
Later among the works it cites.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
Later among the works it cites.
Multimodal virtual point 3d detection
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
Later among the works it cites.
Objects are different: Flexible monocular 3d object detection
Yunpeng Zhang, Jiwen Lu, and Jie Zhou · 2021
Later among the works it cites.
Monocular 3d object detection: An extrinsic parameter free approach
Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, and Qinhong Jiang · 2021
Later among the works it cites.
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
Closest in time.
Futr3d: A unified sensor fusion framework for 3d detection
Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, and Hang Zhao · 2022
Closest in time.
Focal sparse convolutional networks for 3d object detection
Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, and Jiaya Jia · 2022
Closest in time.
Monodistill: Learning spatial features for monocular 3d object detection
Zhiyu Chong, Xinzhu Ma, Hong Zhang, Yuxin Yue, Haojie Li, Zhihui Wang, and Wanli Ouyang · 2022
Closest in time.
Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
Junjie Huang and Guan Huang · 2022
Closest in time.
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
Closest in time.
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai · 2022
Closest in time.
Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xingyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2022
Closest in time.
Probabilistic and geometric depth: Detecting objects in perspective
Tai Wang, ZHU Xinge, Jiangmiao Pang, and Dahua Lin · 2022
Closest in time.
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
Closest in time.
Deepinteraction: 3d object detection via modality interaction
Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, and Li Zhang · 2022
Closest in time.
Benchmarking the robustness of lidar-camera fusion for 3d object detection
Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, et al · 2022
Closest in time.