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Existing offboard 3D detectors always follow a modular pipeline design to take advantage of unlimited sequential point clouds.
A new approach to linear filtering and prediction problems
R. Kalman · 1960
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Frustum pointnets for 3d object detection from rgb-d data
Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J. Guibas · 2018
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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Pixor: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 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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Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds
Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, and Panqu Wang · 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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Flownet3d: Learning scene flow in 3d point clouds
Xingyu Liu, Charles R Qi, and Leonidas J Guibas · 2019
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Deep hough voting for 3d object detection in point clouds
Charles R. Qi, Or Litany, Kaiming He, and Leonidas J. Guibas · 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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Weighted boxes fusion: Ensembling boxes from different object detection models
Roman Solovyev, Weimin Wang, and Tatiana Gabruseva · 2019
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Std: Sparse-to-dense 3d object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 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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1st place solution for waymo open dataset challenge–3d detection and domain adaptation
Zhuangzhuang Ding, Yihan Hu, Runzhou Ge, Li Huang, Sijia Chen, Yu Wang, and Jie Liao · 2020
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Sa-ssd: Structure aware single-stage 3d object detection from point cloud
Chenhang He, Zeng Hui, Jianqiang Huang, Xiansheng Hua, and Lei Zhang · 2020
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Mopt: Multi-object panoptic tracking
Juana Valeria Hurtado, Rohit Mohan, Wolfram Burgard, and Abhinav Valada · 2020
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Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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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
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Point-gnn: Graph neural network for 3d object detection in a point cloud
Weijing Shi and Ragunathan (Raj) Rajkumar · 2020
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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, and Benjamin Caine · 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.
1st place solutions for waymo open dataset challenges–2d and 3d tracking
Yu Wang, Sijia Chen, Li Huang, Runzhou Ge, Yihan Hu, Zhuangzhuang Ding, and Jie Liao · 2020
Immortal tracker: Tracklet never dies
Qitai Wang, Yuntao Chen, Ziqi Pang, Naiyan Wang, and Zhaoxiang Zhang · 2021
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Auto4d: Learning to label 4d objects from sequential point clouds
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, and Raquel Urtasun · 2021
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3d-man: 3d multi-frame attention network for object detection
Zetong Yang, Yin Zhou, Zhifeng Chen, and Jiquan Ngiam · 2021
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3d-man: 3d multi-frame attention network for object detection
Zetong Yang, Yin Zhou, Zhifeng Chen, and Jiquan Ngiam · 2021
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Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 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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Cited alongside, same era.
Pillar-based object detection for autonomous driving
Yue Wang, Alireza Fathi, Abhijit Kundu, David Ross, Caroline Pantofaru, Thomas Funkhouser, and Justin Solomon · 2020
Cited alongside, same era.
3d multi-object tracking: A baseline and new evaluation metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
Cited alongside, same era.
Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps
Pengxiang Wu, Siheng Chen, and Dimitris N Metaxas · 2020
Cited alongside, same era.
3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
Cited alongside, same era.
Hvnet: Hybrid voxel network for lidar based 3d object detection
Maosheng Ye, Shuangjie Xu, and Tongyi Cao · 2020
Cited alongside, same era.
Cia-ssd: Confident iou-aware single-stage object detector from point cloud
Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, and Chi-Wing Fu · 2020
Cited alongside, same era.
End-to-end multi-view fusion for 3d object detection in lidar point clouds
Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2020
Cited alongside, same era.
Later among the works it cites.
Mt-net submission to the waymo 3d detection leaderboard
Shaoxiang Chen, Zequn Jie, Xiaolin Wei, and Lin Ma · 2022
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Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal object detection
Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, and Hongsheng Li · 2022
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Point density-aware voxels for lidar 3d object detection
Jordan SK Hu, Tianshu Kuai, and Steven L Waslander · 2022
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Multi-modal sensor fusion for auto driving perception: A survey
Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang, and Yikang Li · 2022
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Homogeneous multi-modal feature fusion and interaction for 3d object detection
Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, and Liang He · 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, Quoc V. Le, Alan Yuille, and Mingxing Tan · 2022
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2022
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Contrastive instance association for 4d panoptic segmentation using sequences of 3d lidar scans
Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, Ignacio Vizzo, Jens Behley, and Cyrill Stachniss · 2022
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2022
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Swformer: Sparse window transformer for 3d object detection in point clouds
Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, and Drago Anguelov · 2022
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Int: Towards infinite-frames 3d detection with an efficient framework
Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, and Xin Zhan · 2022
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Lidarmultinet: Towards a unified multi-task network for lidar perception
Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, and Hassan Foroosh · 2022
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Centerformer: Center-based transformer for 3d object detection
Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, and Hassan Foroosh · 2022
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Conquer: Query contrast voxel-detr for 3d object detection
Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, and Hongsheng Li · 2022
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Robo3d: Towards robust and reliable 3d perception against corruptions
Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, and Ziwei Liu · 2023
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Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion
Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, and Liang He · 2023
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