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Point clouds and RGB images are two general perceptional sources in 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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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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MixUp: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 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, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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Path aggregation network for instance segmentation
Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, and Jiaya Jia · 2018
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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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VoxelNet: End-to-end learning for point cloud based 3D object detection
Yin Zhou and Oncel Tuzel · 2018
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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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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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Point RCNN: 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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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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Class-balanced grouping and sampling for point cloud 3D object detection
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, and Gang Yu · 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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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Every view counts: Cross-view consistency in 3D object detection with hybrid-cylindrical-spherical voxelization
Qi Chen, Lin Sun, Ernest Cheung, and Alan L Yuille · 2020
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MMDetection3D: OpenMMLab 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 Xiang Bai · 2020
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Deformable DETR: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Voxel R-CNN: Towards high performance voxel-based 3D object detection
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, and Houqiang Li · 2021
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Yolox: Exceeding yolo series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun · 2021
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Fully convolutional networks for panoptic segmentation
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, and Jiaya Jia · 2021
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Voxel transformer for 3D object detection
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, and Chunjing Xu · 2021
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Su Pang, Daniel Morris, and Hayder Radha · 2020
Cited alongside, same era.
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
Cited alongside, same era.
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
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
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CSPNet: A new backbone that can enhance learning capability of cnn
Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, and I-Hau Yeh · 2020
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3DSSD: Point-based 3D single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
Cited alongside, same era.
PointAugmenting: Cross-modal augmentation for 3D object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
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Object DGCNN: 3D object detection using dynamic graphs
Yue Wang and Justin M Solomon · 2021
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Center-based 3D object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
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Improving data augmentation for multi-modality 3D object detection
Wenwei Zhang, Zhe Wang, Chen Change Loy, and Wenwei Zhang · 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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AutoAlign: Pixel-instance feature aggregation for multi-modal 3D object detection
Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinghong Jiang, Feng Zhao, Bolei Zhou, and Hang Zhao · 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, Yifeng Lu, Denny Zhou, Quoc V Le, et al · 2022
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SimIPU: Simple 2d image and 3d point cloud unsupervised pre-training for spatial-aware visual representations
Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, and Hang Zhao · 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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