Scalability in Perception for Autonomous Driving: Waymo Open Dataset

The hungarian method for the assignment problem

Harold W. Kuhn and Bryn Yaw · 1955

Earlier work this paper cites.

Evaluating multiple object tracking performance: The clear mot metrics

Keni Bernardin and Rainer Stiefelhagen · 2008

Earlier work this paper cites.

Imagenet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009

Earlier work this paper cites.

Are we ready for autonomous driving? the kitti vision benchmark suite

Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012

Earlier work this paper cites.

Vision meets robotics: The kitti dataset

Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013

Earlier work this paper cites.

Pointnet: Deep learning on point sets for 3d classification and segmentation

Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017

Cited alongside, same era.

Multi-object tracking with neural gating using bilinear lstm

Chanho Kim, Fuxin Li, and James M Rehg · 2018

Cited alongside, same era.

Voxelnet: End-to-end learning for point cloud based 3d object detection

Y. Zhou and O. Tuzel · 2018

Cited alongside, same era.

Semantickitti: A dataset for semantic scene understanding of lidar sequences

Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Juergen Gall · 2019

Cited alongside, same era.

nuscenes: A multimodal dataset for autonomous driving

Original

Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019

Cited alongside, same era.

http://s2geometry.io/

S2 geometry

Cited in the paper.

Kaist multi-spectral day/night data set for autonomous and assisted driving

Yukyung Choi, Namil Kim, Soonmin Hwang, Kibaek Park, Jae Shin Yoon, Kyounghwan An, and In So Kweon

Cited in the paper.

Lvis: A dataset for large vocabulary instance segmentation

Agrim Gupta, Piotr Dollar, and Ross Girshick

Cited in the paper.

Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun

Cited in the paper.

The apolloscape dataset for autonomous driving

Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, and Ruigang Yang

Cited in the paper.

A new approach to linear filtering and prediction problems

Rudolph Emil Kalman

Cited in the paper.

Microsoft coco: Common objects in context

Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick

Cited in the paper.

Argoverse: 3d tracking and forecasting with rich maps

Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays · 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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A baseline for 3d multi-object tracking

Original

Xinshuo Weng and Kris Kitani · 2019

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End-to-end multi-view fusion for 3d object detection in lidar point clouds

Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2019

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