Fetching the paper…
Reading the bibliography…
LiDAR point clouds collected from a moving vehicle are functions of its trajectories, because the sensor motion needs to be compensated to avoid distortions.
Animating rotation with quaternion curves
Ken Shoemake · 1985
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
An invitation to 3-d vision: from images to geometric models
Yi Ma, Stefano Soatto, Jana Kosecka, and S Shankar Sastry · 2012
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, W. Zaremba, Ilya Sutskever, Joan Bruna, D. Erhan, Ian J. Goodfellow, and R. Fergus · 2014
Earlier work this paper cites.
Performance assessment of gps receivers during the september 24, 2011 solar radio burst event
Bilal Muhammad, Valentina Alberti, Alessandro Marassi, Ernestina Cianca, and Mauro Messerotti · 2015
Earlier work this paper cites.
Deepfool: A simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and P. Frossard · 2016
Earlier work this paper cites.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, H. Su, and L. Guibas · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, Kaichun Mo, and L. Guibas · 2017
Earlier work this paper cites.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. Guibas · 2017
Earlier work this paper cites.
Illusion and dazzle: Adversarial optical channel exploits against lidars for automotive applications
H. Shin, Dohyun Kim, Yujin Kwon, and Y. Kim · 2017
Earlier work this paper cites.
Adversarial examples for semantic segmentation and object detection
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, and A. Yuille · 2017
Earlier work this paper cites.
Decision-based adversarial attacks: Reliable attacks against black-box machine learning models
W. Brendel, Jonas Rauber, and M. Bethge · 2018
Earlier work this paper cites.
Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
W. Luo, B. Yang, and R. Urtasun · 2018
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
A. Madry, Aleksandar Makelov, L. Schmidt, D. Tsipras, and Adrian Vladu · 2018
Earlier work this paper cites.
Towards robust detection of adversarial examples
Tianyu Pang, Chao Du, Y. Dong, and J. Zhu · 2018
Earlier work this paper cites.
Certified defenses against adversarial examples
Aditi Raghunathan, J. Steinhardt, and Percy Liang · 2018
Earlier work this paper cites.
Performance analysis of gnss/ins loosely coupled integration systems under spoofing attacks
Rui Xu, Mengyu Ding, Ya Qi, Shuai Yue, and Jianye Liu · 2018
Earlier work this paper cites.
All your gps are belong to us: Towards stealthy manipulation of road navigation systems
Kexiong Zeng, Shinan Liu, Y. Shu, Dong Wang, Haoyu Li, Yanzhi Dou, G. Wang, and Y. Yang · 2018
Earlier work this paper cites.
Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
Earlier work this paper cites.
Adversarial sensor attack on lidar-based perception in autonomous driving
Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Q. Chen, K. Fu, and Z. Morley Mao · 2019
Cited alongside, same era.
Adversarial objects against lidar-based autonomous driving systems
Yulong Cao, Chaowei Xiao, Dawei Yang, J. Fang, Ruigang Yang, M. Liu, and Bo Li · 2019
Cited alongside, same era.
Pointpillars: Fast encoders for object detection from point clouds
A. Lang, Sourabh Vora, H. Caesar, Lubing Zhou, J. Yang, and Oscar Beijbom · 2019
Cited alongside, same era.
Multi-task multi-sensor fusion for 3d object detection
M. Liang, B. Yang, Yun Chen, R. Hu, and R. Urtasun · 2019
Cited alongside, same era.
Security of gps/ins based on-road location tracking systems
Sashank Narain, Aanjhan Ranganathan, and G. Noubir · 2019
Cited alongside, same era.
What you see is what you get: Exploiting visibility for 3d object detection
Peiyun Hu, Jason Ziglar, David Held, and D. Ramanan · 2020
Later among the works it cites.
Randla-net: Efficient semantic segmentation of large-scale point clouds
Q. Hu, B. Yang, Linhai Xie, S. Rosa, Yulan Guo, Zhihua Wang, A. Trigoni, and Andrew Markham · 2020
Later among the works it cites.
Pointgroup: Dual-set point grouping for 3d instance segmentation
L. Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
Later among the works it cites.
Geometric adversarial attacks and defenses on 3d point clouds
Itai Lang, Uriel Kotlicki, and S. Avidan · 2020
Later among the works it cites.
Lidarsim: Realistic lidar simulation by leveraging the real world
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, and Raquel Urtasun · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Improving adversarial robustness via promoting ensemble diversity
Tianyu Pang, Kun Xu, Chao Du, N. Chen, and J. Zhu · 2019
Cited alongside, same era.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, X. Wang, and Hongsheng Li · 2019
Cited alongside, same era.
Robustness of 3d deep learning in an adversarial setting
Matthew Wicker and M. Kwiatkowska · 2019
Cited alongside, same era.
Untargeted adversarial attack via expanding the semantic gap
Aming Wu, Yahong Han, Q. Zhang, and Xiaohui Kuang · 2019
Cited alongside, same era.
Generating 3d adversarial point clouds
Chong Xiang, Charles R. Qi, and B. Li · 2019
Cited alongside, same era.
Adversarial attack and defense on point sets
Jiancheng Yang, Qiang Zhang, Rongyao Fang, B. Ni, J. Liu, and Q. Tian · 2019
Cited alongside, same era.
A new defense against adversarial images: Turning a weakness into a strength
Tao Yu, Shengyuan Hu, C. Guo, Wei-Lun Chao, and Kilian Q. Weinberger · 2019
Cited alongside, same era.
Probabilistic egocentric motion correction of lidar point cloud and projection to camera images for moving platforms
Mao Shan, J. Berrio, S. Worrall, and E. Nebot · 2020
Later among the works it cites.
Drift with devil: Security of multi-sensor fusion based localization in high-level autonomous driving under gps spoofing (extended version)
Junjie Shen, J. Won, Zeyuan Chen, and Q. Chen · 2020
Later among the works it cites.
Towards robust lidar-based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures
Jiachen Sun, Yulong Cao, Q. Chen, and Z. Morley Mao · 2020
Later among the works it cites.
Physically realizable adversarial examples for lidar object detection
J. Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, R. Du, Frank C Z Cheng, and R. Urtasun · 2020
Later among the works it cites.
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
Later among the works it cites.
Pillar-based object detection for autonomous driving
Yue Wang, Alireza Fathi, Abhijit Kundu, D. Ross, C. Pantofaru, Tom Funkhouser, and J. Solomon · 2020
Later among the works it cites.
3d multi-object tracking: A baseline and new evaluation metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani · 2020
Later among the works it cites.
Gnn3dmot: Graph neural network for 3d multi-object tracking with 2d-3d multi-feature learning
Xinshuo Weng, Yongxin Wang, Y. Man, and Kris Kitani · 2020
Later among the works it cites.
Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps
Pengxiang Wu, Siheng Chen, and D. Metaxas · 2020
Later among the works it cites.
Cooling-shrinking attack: Blinding the tracker with imperceptible noises
B. Yan, D. Wang, Huchuan Lu, and Xiaoyun Yang · 2020
Later among the works it cites.
Global view of ionospheric disturbance impacts on kinematic gps positioning solutions during the 2015 st. patrick’s day storm
Zhe Yang, YT Jade Morton, Irina Zakharenkova, Iurii Cherniak, Shuli Song, and Wei Li · 2020
Later among the works it cites.
3dssd: Point-based 3d single stage object detector
Z. Yang, Y. Sun, Shu Liu, and Jiaya Jia · 2020
Later among the works it cites.
Lg-gan: Label guided adversarial network for flexible targeted attack of point cloud based deep networks
Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua, and N. Yu · 2020
Later among the works it cites.