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To track the 3D locations and trajectories of the other traffic participants at any given time, modern autonomous vehicles are equipped with multiple cameras that cover the vehicle's full surroundings.
A stochastic approximation method
H. Robbins and S. Monro · 1951
Earlier work this paper cites.
Robust estimation of a location parameter
P. J. Huber · 1964
Earlier work this paper cites.
Finding and tracking people from the bottom up
D. Ramanan and D. A. Forsyth · 2003
Earlier work this paper cites.
Evaluating multiple object tracking performance: The clear mot metrics
K. Bernardin and R. Stiefelhagen · 2008
Earlier work this paper cites.
Taking mobile multi-object tracking to the next level: People, unknown objects, and carried items
D. Mitzel and B. Leibe · 2012
Earlier work this paper cites.
Precision tracking with sparse 3d and dense color 2d data
D. Held, J. Levinson, and S. Thrun · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
3D object proposals for accurate object class detection
X. Chen, K. Kundu, Y. Zhu, A. G. Berneshawi, H. Ma, S. Fidler, and R. Urtasun · 2015
Earlier work this paper cites.
Multiple hypothesis tracking revisited
C. Kim, F. Li, A. Ciptadi, and J. M. Rehg · 2015
Earlier work this paper cites.
POI: multiple object tracking with high performance detection and appearance feature
F. Yu, W. Li, Q. Li, Y. Liu, X. Shi, and J. Yan · 2016
Earlier work this paper cites.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Earlier work this paper cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Earlier work this paper cites.
Monocular 3D object detection for autonomous driving
X. Chen, K. Kundu, Z. Zhang, H. Ma, S. Fidler, and R. Urtasun · 2016
Earlier work this paper cites.
Simple online and realtime tracking
A. Bewley, Z. Ge, L. Ott, F. T. Ramos, and B. Upcroft · 2016
Earlier work this paper cites.
Learning to track at 100 FPS with deep regression networks
D. Held, S. Thrun, and S. Savarese · 2016
Earlier work this paper cites.
Learning by tracking: Siamese CNN for robust target association
L. Leal-Taixé, C. Canton-Ferrer, and K. Schindler · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Simple online and realtime tracking with a deep association metric
N. Wojke, A. Bewley, and D. Paulus · 2017
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2017
Earlier work this paper cites.
Yolo9000: Better, faster, stronger
J. Redmon and A. Farhadi · 2017
Earlier work this paper cites.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
Earlier work this paper cites.
3D bounding box estimation using deep learning and geometry
A. Mousavian, D. Anguelov, J. Flynn, and J. Košecká · 2017
Earlier work this paper cites.
Detect to track and track to detect
C. Feichtenhofer, A. Pinz, and A. Zisserman · 2017
Earlier work this paper cites.
Combined image-and world-space tracking in traffic scenes
A. Osep, W. Mehner, M. Mathias, and B. Leibe · 2017
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Y. Zhou and O. Tuzel · 2018
Cited alongside, same era.
Simple baselines for human pose estimation and tracking
B. Xiao, H. Wu, and Y. Wei · 2018
Cited alongside, same era.
Beyond pixels: Leveraging geometry and shape cues for online multi-object tracking
S. Sharma, J. A. Ansari, J. K. Murthy, and K. M. Krishna · 2018
Cited alongside, same era.
Features for multi-target multi-camera tracking and re-identification
E. Ristani and C. Tomasi · 2018
Cited alongside, same era.
Tracking without bells and whistles
P. Bergmann, T. Meinhardt, and L. Leal-Taixé · 2019
Transtrack: Multiple-object tracking with transformer
P. Sun, J. Cao, Y. Jiang, R. Zhang, E. Xie, Z. Yuan, C. Wang, and P. Luo · 2020
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Multi-target multi-camera tracking by tracklet-to-target assignment
Y. He, X. Wei, X. Hong, W. Shi, and Y. Gong · 2020
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3d multi-object tracking: A baseline and new evaluation metrics
X. Weng, J. Wang, D. Held, and K. Kitani · 2020
Later among the works it cites.
Deft: Detection embeddings for tracking
M. Chaabane, P. Zhang, J. R. Beveridge, and S. O’Hara · 2021
Later among the works it cites.
Is pseudo-lidar needed for monocular 3d object detection?
D. Park, R. Ambrus, V. Guizilini, J. Li, and A. Gaidon · 2021
Later among the works it cites.
Categorical depth distribution network for monocular 3d object detection
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M3D-RPN: Monocular 3D region proposal network for object detection
G. Brazil and X. Liu · 2019
Cited alongside, same era.
Disentangling monocular 3D object detection
A. Simonelli, S. R. Bulo, L. Porzi, M. López-Antequera, and P. Kontschieder · 2019
Cited alongside, same era.
Pseudo-LiDAR from visual depth estimation: Bridging the gap in 3D object detection for autonomous driving
Y. Wang, W.-L. Chao, D. Garg, B. Hariharan, M. Campbell, and K. Q. Weinberger · 2019
Cited alongside, same era.
Accurate monocular 3D object detection via color-embedded 3D reconstruction for autonomous driving
X. Ma, Z. Wang, H. Li, P. Zhang, W. Ouyang, and X. Fan · 2019
Cited alongside, same era.
PointRCNN: 3D object proposal generation and detection from point cloud
S. Shi, X. Wang, and H. Li · 2019
Cited alongside, same era.
PointPillars: Fast encoders for object detection from point clouds
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom · 2019
Cited alongside, same era.
C. Reading, A. Harakeh, J. Chae, and S. L. Waslander · 2021
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Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Y. Wang, V. Guizilini, T. Zhang, Y. Wang, H. Zhao, , and J. M. Solomon · 2021
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Quasi-dense similarity learning for multiple object tracking
J. Pang, L. Qiu, X. Li, H. Chen, Q. Li, T. Darrell, and F. Yu · 2021
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Trackformer: Multi-object tracking with transformers
T. Meinhardt, A. Kirillov, L. Leal-Taixe, and C. Feichtenhofer · 2021
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Motr: End-to-end multiple-object tracking with transformer
F. Zeng, B. Dong, T. Wang, X. Zhang, and Y. Wei · 2021
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Mmptrack: Large-scale densely annotated multi-camera multiple people tracking benchmark
X. Han, Q. You, C. Wang, Z. Zhang, P. Chu, H. Hu, J. Wang, and Z. Liu · 2021
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Multi-target multi-camera vehicle tracking for city-scale traffic management
K. Shim, S. Yoon, K. Ko, and C. Kim · 2021
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The 5th ai city challenge
M. Naphade, S. Wang, D. C. Anastasiu, Z. Tang, M.-C. Chang, X. Yang, Y. Yao, L. Zheng, P. Chakraborty, C. E. Lopez, A. Sharma, Q. Feng, V. Ablavsky, and S. Sclaroff · 2021
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Center-based 3d object detection and tracking
T. Yin, X. Zhou, and P. Krähenbühl · 2021
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Exploring simple 3d multi-object tracking for autonomous driving
C. Luo, X. Yang, and A. Yuille · 2021
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Joint object detection and multi-object tracking with graph neural networks
Y. Wang, K. Kitani, and X. Weng · 2021
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Eagermot: 3d multi-object tracking via sensor fusion
A. Kim, A. Ošep, and L. Leal-Taixé · 2021
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Simpletrack: Understanding and rethinking 3d multi-object tracking
Z. Pang, Z. Li, and N. Wang · 2021
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Monocular quasi-dense 3d object tracking
H.-N. Hu, Y.-H. Yang, T. Fischer, T. Darrell, F. Yu, and M. Sun · 2022
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Qdtrack: Quasi-dense similarity learning for appearance-only multiple object tracking
T. Fischer, J. Pang, T. E. Huang, L. Qiu, H. Chen, T. Darrell, and F. Yu · 2022
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Mutr3d: A multi-camera tracking framework via 3d-to-2d queries
T. Zhang, X. Chen, Y. Wang, Y. Wang, and H. Zhao · 2022
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Z. Li, W. Wang, H. Li, E. Xie, C. Sima, T. Lu, Q. Yu, and J. Dai · 2022
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