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Self-driving cars must detect vehicles, pedestrians, and other traffic participants accurately to operate safely.
Scene semantics from long-term observation of people
V. Delaitre, D. Fouhey, I. Laptev, J. Sivic, A. Gupta, and A. Efros · 2012
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People watching: Human actions as a cue for single-view geometry
David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, and Josef Sivic · 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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Synthetic 2d lidar for precise vehicle localization in 3d urban environment
Zhuang Jie Chong, Baoxing Qin, Tirthankar Bandyopadhyay, Marcelo H Ang, Emilio Frazzoli, and Daniela Rus · 2013
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Autonomous driving in the icity—hd maps as a key challenge of the automotive industry
Heiko G. Seif and Xiaolong Hu · 2016
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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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Vote3deep: Fast object detection in 3D point clouds using efficient convolutional neural networks
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, and Ingmar Posner · 2017
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What uncertainties do we need in bayesian deep learning for computer vision?
Alex Kendall and Yarin Gal · 2017
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3D fully convolutional network for vehicle detection in point cloud
Bo Li · 2017
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Driven to distraction: Self-supervised distractor learning for robust monocular visual odometry in urban environments
Dan Barnes, Will Maddern, Geoffrey Pascoe, and Ingmar Posner · 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
Cited alongside, same era.
Deep continuous fusion for multi-sensor 3D object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
Cited alongside, same era.
Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Cited alongside, same era.
Real-time dynamic object detection for autonomous driving using prior 3d-maps
B Ravi Kiran, Luis Roldao, Benat Irastorza, Renzo Verastegui, Sebastian Suss, Senthil Yogamani, Victor Talpaert, Alexandre Lepoutre, and Guillaume Trehard · 2018
Cited alongside, same era.
Fusing bird’s eye view lidar point cloud and front view camera image for 3d object detection
Zining Wang, Wei Zhan, and Masayoshi Tomizuka · 2018
Cited alongside, same era.
A survey of deep learning techniques for autonomous driving
Sorin Grigorescu, Bogdan Trasnea, Tiberiu Cocias, and Gigel Macesanu · 2020
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An lstm approach to temporal 3d object detection in lidar point clouds
Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, and Alireza Fathi · 2020
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Computer vision for autonomous vehicles: Problems, datasets and state of the art
Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger, et al · 2020
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Openpcdet: An open-source toolbox for 3d object detection from point clouds
Development Team OpenPCDet · 2020
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Hidden footprints: Learning contextual walkability from 3d human trails
Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, and Noah Snavely · 2020
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Pointpainting: Sequential fusion for 3d object detection
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Yan Yan, Yuxing Mao, and Bo Li · 2018
Cited alongside, same era.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Cited alongside, same era.
4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
Cited alongside, same era.
Lyft level 5 av dataset 2019
R. Kesten, M. Usman, J. Houston, T. Pandya, K. Nadhamuni, A. Ferreira, M. Yuan, B. Low, A. Jain, P. Ondruska, S. Omari, S. Shah, A. Kulkarni, A. Kazakova, C. Tao, L. Platinsky, W. Jiang, and V. Shet · 2019
Cited alongside, same era.
Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 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.
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.
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
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Train in germany, test in the usa: Making 3d object detectors generalize
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao · 2020
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3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
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Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger · 2020
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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 · 2020
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3d-man: 3d multi-frame attention network for object detection
Zetong Yang, Yin Zhou, Zhifeng Chen, and Jiquan Ngiam · 2021
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