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Previous online 3D Multi-Object Tracking(3DMOT) methods terminate a tracklet when it is not associated with new detections for a few frames.
On the generalized distance in statistics
Prasanta Chandra Mahalanobis · 1936
Earlier work this paper cites.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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A new approach to linear filtering and prediction problems
Rudolph Emil Kalman · 1960
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Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
Earlier work this paper cites.
The way they move: Tracking multiple targets with similar appearance
Caglayan Dicle, Octavia I Camps, and Mario Sznaier · 2013
Earlier work this paper cites.
Simple online and realtime tracking
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft · 2016
Earlier work this paper cites.
Simple online and realtime tracking with a deep association metric
Nicolai Wojke, Alex Bewley, and Dietrich Paulus · 2017
Earlier work this paper cites.
Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
Earlier work this paper cites.
Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
Earlier work this paper cites.
The h3d dataset for full-surround 3d multi-object detection and tracking in crowded urban scenes
Abhishek Patil, Srikanth Malla, Haiming Gang, and Yi-Ting Chen · 2019
Earlier work this paper cites.
Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
Cited alongside, same era.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Cited alongside, same era.
A baseline for 3d multi-object tracking
Xinshuo Weng and Kris Kitani · 2019
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.
Improving 3d object detection through progressive population based augmentation
Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, et al · 2020
Cited alongside, same era.
Tracking objects as points
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
Later among the works it cites.
Score refinement for confidence-based 3d multi-object tracking
Nuri Benbarka, Jona Schröder, and Andreas Zell · 2021
Closest in time.
Probabilistic 3d multi-modal, multi-object tracking for autonomous driving
Hsu-kuang Chiu, Jie Li, Rareş Ambruş, and Jeannette Bohg · 2021
Closest in time.
Rangedet: In defense of range view for lidar-based 3d object detection
Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, and Zhaoxiang Zhang · 2021
Closest in time.
Learnable graph matching: Incorporating graph partitioning with deep feature learning for multiple object tracking
Jiawei He, Zehao Huang, Naiyan Wang, and Zhaoxiang Zhang · 2021
Closest in time.
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Probabilistic 3d multi-object tracking for autonomous driving
Hsu-kuang Chiu, Antonio Prioletti, Jie Li, and Jeannette Bohg · 2020
Cited alongside, same era.
Eager-mot: Real-time 3d multi-object tracking and segmentation via sensor fusion
Aleksandr Kim, Aljoša Ošep, and Laura Leal-Taixé · 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.
3d multi-object tracking: A baseline and new evaluation metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
Cited alongside, same era.
Gnn3dmot: Graph neural network for 3d multi-object tracking with multi-feature learning
Xinshuo Weng, Yongxin Wang, Yunze Man, and Kris Kitani · 2020
Cited alongside, same era.
Lidar r-cnn: An efficient and universal 3d object detector
Zhichao Li, Feng Wang, and Naiyan Wang · 2021
Closest in time.
SimpleTrack: Understanding and rethinking 3d multi-object tracking
Ziqi Pang, Zhichao Li, and Naiyan Wang · 2021
Closest in time.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krähenbühl · 2021
Closest in time.
Learnable online graph representations for 3d multi-object tracking
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, and Luc Van Gool · 2021
Closest in time.