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This paper addresses limitations in 3D tracking-by-detection methods, particularly in identifying legitimate trajectories and reducing state estimation drift in Kalman filters.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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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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False positive elimination in intrusion detection based on clustering
Liang Hu, Taihui Li, Nannan Xie, and Jiejun Hu · 2015
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Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
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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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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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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurélien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020
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Trackeval
Arne Hoffhues Jonathon Luiten · 2020
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Eagermot: 3d multi-object tracking via sensor fusion
Aleksandr Kim, Aljoša Ošep, and Laura Leal-Taixé · 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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Short-term lateral behavior reasoning for target vehicles considering driver preview characteristic
Z. Zhou, Y. Wang, R. Liu, C. Wei, H. Du, and C. Yin · 2021
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Monocular 3d multi-object tracking with an ekf approach for long-term stable tracks
Andreas Reich and Hans-Joachim Wuensche · 2021
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Tracklet proposal network for multi-object tracking on point clouds
Hai Wu, Qing Li, Chenglu Wen, Xin Li, Xiaoliang Fan, and Cheng Wang · 2021
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Simpletrack: Understanding and rethinking 3d multi-object tracking
Ziqi Pang, Zhichao Li, and Naiyan Wang · 2021
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Immortal tracker: Tracklet never dies
Qitai Wang, Yuntao Chen, Ziqi Pang, Naiyan Wang, and Zhaoxiang Zhang · 2021
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3d multi-object tracking in point clouds based on prediction confidence-guided data association
Wu et al · 2022
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Casa: A cascade attention network for 3-d object detection from lidar point clouds
Wu et al · 2022
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Deepfusionmot: A 3d multi-object tracking framework based on camera-lidar fusion with deep association
Xiyang Wang, Chunyun Fu, Zhankun Li, Ying Lai, and Jiawei He · 2022
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Memot: Multi-object tracking with memory
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, and Stefano Soatto · 2022
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Towards robust reference system for autonomous driving: Rethinking 3d mot
Leichen Wang, Jiadi Zhang, Pei Cai, and Xinrun Lil · 2023
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Observation-centric sort: Rethinking sort for robust multi-object tracking
Jinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirodkar, and Kris Kitani · 2023
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Multi-object tracking by self-supervised learning appearance model
Kaer Huang, Kanokphan Lertniphonphan, Feng Chen, Jian Li, and Zhepeng Wang · 2023
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Visual object tracking based on light-field imaging in the presence of similar distractors
Mianzhao Wang, Fan Shi, Xu Cheng, Meng Zhao, Yao Zhang, Chen Jia, Weiwei Tian, and Shengyong Chen · 2023
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Detection recovery in online multi-object tracking with sparse graph tracker
Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, and Dit-Yan Yeung · 2023
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Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2022
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Beyond 3d siamese tracking: A motion-centric paradigm for 3d single object tracking in point clouds
Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, and Zhen Li · 2022
Cited alongside, same era.
Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
Cited alongside, same era.
Triplettrack: 3d object tracking using triplet embeddings and lstm
Nicola Marinello, Marc Proesmans, and Luc Van Gool · 2022
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Polarmot: How far can geometric relations take us in 3d multi-object tracking?
Aleksandr Kim, Guillem Brasó, Aljoša Ošep, and Laura Leal-Taixé · 2022
Cited alongside, same era.
3d multi-object tracking in point clouds based on prediction confidence-guided data association
Hai Wu, Wenkai Han, Chenglu Wen, Xin Li, and Cheng Wang · 2022
Cited alongside, same era.
Msa-mot: Multi-stage association for 3d multimodality multi-object tracking
Ziming Zhu, Jiahao Nie, Han Wu, Zhiwei He, and Mingyu Gao · 2022
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Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, and Rita Cucchiara · 2023
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Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors
Yuang Zhang, Tiancai Wang, and Xiangyu Zhang · 2023
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Multi-object tracking by self-supervised learning appearance model
Kaer Huang, Kanokphan Lertniphonphan, Feng Chen, Jian Li, and Zhepeng Wang · 2023
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Trackflow: Multi-object tracking with normalizing flows
Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, and Rita Cucchiara · 2023
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Dfr-fastmot: Detection failure resistant tracker for fast multi-object tracking based on sensor fusion
Mohamed Nagy, Majid Khonji, Jorge Dias, and Sajid Javed · 2023
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An improved association pipeline for multi-person tracking
Daniel Stadler and Jürgen Beyerer · 2023
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Once detected, never lost: Surpassing human performance in offline lidar based 3d object detection
Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang, and Zhaoxiang Zhang · 2023
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3d multi-object tracking based on informatic divergence-guided data association
Jiawei He, Chunyun Fu, Xiyang Wang, and Jianwen Wang · 2024
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Fast-poly: A fast polyhedral algorithm for 3d multi-object tracking
Xiaoyu Li, Dedong Liu, Yitao Wu, Xian Wu, Lijun Zhao, and Jinghan Gao · 2024
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