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In the field of 3D object detection for autonomous driving, LiDAR-Camera (LC) fusion is the top-performing sensor configuration.
Adaptive mixtures of local experts
Robert A Jacobs, Michael I Jordan, Steven J Nowlan, and Geoffrey E Hinton · 1991
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 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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Mvx-net: Multimodal voxelnet for 3d object detection
Vishwanath A Sindagi, Yin Zhou, and Oncel Tuzel · 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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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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Grif net: Gated region of interest fusion network for robust 3d object detection from radar point cloud and monocular image
Youngseok Kim, Jun Won Choi, and Dongsuk Kum · 2020
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Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, and Jian Yang · 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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Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
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Radarnet: Exploiting radar for robust perception of dynamic objects
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, and Raquel Urtasun · 2020
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3d-cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection
Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, and Jun Won Choi · 2020
Cited alongside, same era.
Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector
Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2021
Cited alongside, same era.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, and Dalong Du · 2021
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Centerfusion: Center-based radar and camera fusion for 3d object detection
Ramin Nabati and Hairong Qi · 2021
Cited alongside, same era.
Fast-clocs: Fast camera-lidar object candidates fusion for 3d object detection
Su Pang, Daniel Morris, and Hayder Radha · 2022
Later among the works it cites.
Image-to-lidar self-supervised distillation for autonomous driving data
Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, and Renaud Marlet · 2022
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Lidar distillation: Bridging the beam-induced domain gap for 3d object detection
Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, and Jiwen Lu · 2022
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Motionsc: Data set and network for real-time semantic mapping in dynamic environments
Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, and Maani Ghaffari · 2022
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Structured knowledge distillation towards efficient and compact multi-view 3d detection
Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, and Kaisheng Ma · 2022
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Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
Cited alongside, same era.
Object dgcnn: 3d object detection using dynamic graphs
Yue Wang and Justin M Solomon · 2021
Cited alongside, same era.
Fusionpainting: Multimodal fusion with adaptive attention for 3d object detection
Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Zhou Bin, and Liangjun Zhang · 2021
Cited alongside, same era.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
Cited alongside, same era.
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
Cited alongside, same era.
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
Cited alongside, same era.
Deepfusion: A robust and modular 3d object detector for lidars, cameras and radars
Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, and Claudius Gläser · 2022
Cited alongside, same era.
Towards deep radar perception for autonomous driving: Datasets, methods, and challenges
Yi Zhou, Lulu Liu, Haocheng Zhao, Miguel López-Benítez, Limin Yu, and Yutao Yue · 2022
Later among the works it cites.
X3kd: Knowledge distillation across modalities, tasks and stages for multi-camera 3d object detection
Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Yogamani, and Fatih Porikli · 2023
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Hvdetfusion: A simple and robust camera-radar fusion framework
Kai Lei, Zhan Chen, Shuman Jia, and Xiaoteng Zhang · 2023
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Standing between past and future: Spatio-temporal modeling for multi-camera 3d multi-object tracking
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, and Yu-Xiong Wang · 2023
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Convolutional bayesian kernel inference for 3d semantic mapping
Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, and Maani Ghaffari · 2023
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Mvfusion: Multi-view 3d object detection with semantic-aligned radar and camera fusion
Zizhang Wu, Guilian Chen, Yuanzhu Gan, Lei Wang, and Jian Pu · 2023
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Cross modal transformer: Towards fast and robust 3d object detection
Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, and Xiangyu Zhang · 2023
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Distilling focal knowledge from imperfect expert for 3d object detection
Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, and Hongyang Li · 2023
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Pointdistiller: Structured knowledge distillation towards efficient and compact 3d detection
Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, and Kaisheng Ma · 2023
Later among the works it cites.
Bevsimdet: Simulated multi-modal distillation in bird’s-eye view for multi-view 3d object detection
Haimei Zhao, Qiming Zhang, Shanshan Zhao, Jing Zhang, and Dacheng Tao · 2023
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Dataset and benchmark: Novel sensors for autonomous vehicle perception
Spencer Carmichael, Austin Buchan, Mani Ramanagopal, Radhika Ravi, Ram Vasudevan, and Katherine A Skinner · 2024
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Lirafusion: Deep adaptive lidar-radar fusion for 3d object detection
Jingyu Song, Lingjun Zhao, and Katherine A Skinner · 2024
Closest in time.