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Tracking vehicles in LIDAR point clouds is a challenging task due to the sparsity of the data and the dense search space.
The condensation algorithm-conditional density propagation and applications to visual tracking
Andrew Blake and Michael Isard · 1997
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Improving regularised particle filters
Christian Musso, Nadia Oudjane, and Francois Le Gland · 2001
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Beyond the Kalman filter: Particle filters for tracking applications
Branko Ristic, Sanjeev Arulampalam, and Neil Gordon · 2003
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Fast multiple object tracking via a hierarchical particle filter
Changjiang Yang, Ramani Duraiswami, and Larry Davis · 2005
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People tracking in rgb-d data with on-line boosted target models
Matthias Luber, Luciano Spinello, and Kai O Arras · 2011
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Kalman filter for robot vision: a survey
SY Chen · 2012
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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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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Tracking revisited using rgbd camera: Unified benchmark and baselines
Shuran Song and Jianxiong Xiao · 2013
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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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Structural sparse tracking
Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, and Ming-Hsuan Yang · 2015
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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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A novel performance evaluation methodology for single-target trackers
Matej Kristan, Jiri Matas, Aleš Leonardis, Tomas Vojir, Roman Pflugfelder, Gustavo Fernandez, Georg Nebehay, Fatih Porikli, and Luka Čehovin · 2016
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Object proposal using 3d point cloud for drc-hubo+
Seunghak Shin, Inwook Shim, Jiyung Jung, Yunsu Bok, Jun-Ho Oh, and In So Kweon · 2016
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Deep sliding shapes for amodal 3d object detection in rgb-d images
Shuran Song and Jianxiong Xiao · 2016
Multi-task correlation particle filter for robust object tracking
Tianzhu Zhang, Changsheng Xu, and Ming-Hsuan Yang · 2017
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2017
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Particle filter networks with application to visual localization
Peter Karkus, David Hsu, and Wee Sun Lee · 2018
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Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L Waslander · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Cited alongside, same era.
Siamrpn++: Evolution of siamese visual tracking with very deep networks
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, and Junjie Yan
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High performance visual tracking with siamese region proposal network
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu
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High performance visual tracking with siamese region proposal network
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu
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Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, and Bernard Ghanem · 2018
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Leveraging shape completion for 3d siamese tracking
Silvio Giancola, Jesus Zarzar, and Bernard Ghanem · 2019
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The NuScenes dataset
NuTonomy · 2019
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Distractor-aware siamese networks for visual object tracking
Zheng Zhu, Qiang Wang, Li Bo, Wei Wu, Junjie Yan, and Weiming Hu · 2019
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