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Accurate and consistent 3D tracking from multiple cameras is a key component in a vision-based autonomous driving system.
Multiple Object Tracking Performance Metrics and Evaluation in a Smart Room Environment
Keni Bernardin, Alexander Elbs, and Rainer Stiefelhagen · 2006
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Learning to associate: HybridBoosted multi-target tracker for crowded scene
Yuan Li, Chang Huang, and Ram Nevatia · 2009
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DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang, Yi Yang, Yafeng Deng, and Yinan Yu · 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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You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Deformable Convolutional Networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 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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Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Simple Online and Realtime Tracking with a Deep Association Metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
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Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, and Karl Granström · 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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Monocular 3D Object Detection via Geometric Reasoning on Keypoint
Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, and Vyacheslav Murashkin · 2019
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FANTrack: 3D Multi-Object Tracking with Feature Association Network
Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, and Krzysztof Czarnecki · 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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ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
Fabian Manhardt, Wadim Kehl, and Adrien Gaidon · 2019
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Disentangling monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel López-Antequera, and Peter Kontschieder · 2019
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Multi-camera vehicle tracking and re-identification based on visual and spatial-temporal features
Xiao Tan, Zhigang Wang, Minyue Jiang, Xipeng Yang, Jian Wang, Yuan Gao, Xiangbo Su, Xiaoqing Ye, Yuchen Yuan, Dongliang He, et al · 2019
Cited alongside, same era.
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
Cited alongside, same era.
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
Cited alongside, same era.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
Score refinement for confidence-based 3D multi-object tracking
Nuri Benbarka, Jona Schröder, and Andreas Zell · 2021
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DEFT: Detection Embeddings for Tracking
Mohamed Chaabane, Peter Zhang, J Ross Beveridge, and Stephen O’Hara · 2021
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Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu, Jie Li, Rareş Ambruş, and Jeannette Bohg · 2021
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Monocular Quasi-Dense 3D Object Tracking
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, and Min Sun · 2021
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BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du · 2021
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Cited alongside, same era.
Learning a Neural Solver for Multiple Object Tracking
Guillem Brasó and Laura Leal-Taixé · 2020
Cited alongside, same era.
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
Cited alongside, same era.
End-to-end Object Detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
Rethinking Pseudo-LiDAR Representation
Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, and Wanli Ouyang · 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.
Transtrack: Multiple object tracking with transformer
Peize Sun, Jinkun Cao, Yi Jiang, Rufeng Zhang, Enze Xie, Zehuan Yuan, Changhu Wang, and Ping Luo · 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.
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2021
Later among the works it cites.
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
Ziqi Pang, Zhichao Li, and Naiyan Wang · 2021
Later among the works it cites.
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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Learning to Track with Object Permanence
Pavel Tokmakov, Jie Li, Wolfram Burgard, and Adrien Gaidon · 2021
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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.
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 · 2021
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End-to-End Video Instance Segmentation with Transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, and Huaxia Xia · 2021
Later among the works it cites.
MOTR: End-to-End Multiple-Object Tracking with TRansformer
Fangao Zeng, Bin Dong, Tiancai Wang, Cheng Chen, Xiangyu Zhang, and Yichen Wei · 2021
Later among the works it cites.
Probabilistic and Geometric Depth: Detecting Objects in Perspective
Tai Wang, ZHU Xinge, Jiangmiao Pang, and Dahua Lin · 2022
Closest in time.
Learnable Online Graph Representations for 3D Multi-Object Tracking
Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, and Luc Van Gool · 2022
Closest in time.