Fetching the paper…
Reading the bibliography…
The robustness of 3D perception systems under natural corruptions from environments and sensors is pivotal for safety-critical applications.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
Earlier work this paper cites.
Influences of weather phenomena on automotive laser radar systems
Ralph H. Rasshofer, Martin Spies, and Hans Spies · 2011
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.
When the dust settles: The four behaviors of lidar in the presence of fine airborne particulates
Tyson Govan Phillips, Nicky Guenther, and Peter Ross McAree · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
A benchmark for lidar sensors in fog: Is detection breaking down?
Mario Bijelic, Tobias Gruber, and Werner Ritter · 2018
Earlier work this paper cites.
Mitigation of crosstalk effects in multi-lidar configurations
Axel L. Diehm, Marcus Hammer, Marcus Hebel, and Michael Arens · 2018
Earlier work this paper cites.
Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud
Bichen Wu, Alvin Wan, Xiangyu Yue, and Kurt Keutzer · 2018
Earlier work this paper cites.
Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 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.
A survey on 3d object detection methods for autonomous driving applications
Eduardo Arnold, Omar Y Al-Jarrah, Mehrdad Dianati, Saber Fallah, David Oxtoby, and Alex Mouzakitis · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
Earlier work this paper cites.
Benchmarking neural network robustness to common corruptions and perturbations
Dan Hendrycks and Thomas Dietterich · 2019
Earlier work this paper cites.
Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
Earlier work this paper cites.
Benchmarking robustness in object detection: Autonomous driving when winter is coming
Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, and Wieland Brendel · 2019
Earlier work this paper cites.
Rangenet++: Fast and accurate lidar semantic segmentation
Andres Milioto, Ignacio Vizzo, Jens Behley, and Cyrill Stachniss · 2019
Earlier work this paper cites.
Sensor adversarial traits: Analyzing robustness of 3d object detection sensor fusion models
Won Park, Nan Liu, Qi Alfred Chen, and Z. Morley Mao · 2019
Earlier work this paper cites.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Earlier work this paper cites.
Characteristics of laser backscattering intensity to detect frozen and wet surfaces on roads
Jungil Shin, Hyunsuk Park, and Taejung Kim · 2019
Earlier work this paper cites.
Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
Earlier work this paper cites.
Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, and Kurt Keutzer · 2019
Earlier work this paper cites.
Std: Sparse-to-dense 3d object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
Earlier work this paper cites.
Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather
Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter, Klaus Dietmayer, and Felix Heide · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds
Tiago Cortinhal, George Tzelepis, and Eren Erdal Aksoy · 2020
Earlier work this paper cites.
Deep learning for 3d point clouds: A survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, and Mohammed Bennamoun · 2020
Earlier work this paper cites.
xmuda: Cross-modal unsupervised domain adaptation for 3d semantic segmentation
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Emilie Wirbel, and Patrick Pérez · 2020
Earlier work this paper cites.
Benchmarking the robustness of semantic segmentation models
Christoph Kamann and Carsten Rother · 2020
Earlier work this paper cites.
Amvnet: Assertion-based multi-view fusion network for lidar semantic segmentation
Venice Erin Liong, Thi Ngoc Tho Nguyen, Sergi Widjaja, Dhananjai Sharma, and Zhuang Jie Chong · 2020
Earlier work this paper cites.
Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Earlier work this paper cites.
From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Cited alongside, same era.
Point-gnn: Graph neural network for 3d object detection in a point cloud
Weijing Shi and Raj Rajkumar · 2020
Cited alongside, same era.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, and Benjamin Caine · 2020
Cited alongside, same era.
Searching efficient 3d architectures with sparse point-voxel convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, and Song Han · 2020
Cited alongside, same era.
Physically realizable adversarial examples for lidar object detection
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, and Raquel Urtasun · 2020
Cited alongside, same era.
3d common corruptions and data augmentation
Oğuzhan Fatih Kar, Teresa Yeo, Andrei Atanov, and Amir Zamir · 2022
Later among the works it cites.
Homogeneous multi-modal feature fusion and interaction for 3d object detection
Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, and Liang He · 2022
Later among the works it cites.
Cpgnet: Cascade point-grid fusion network for real-time lidar semantic segmentation
Xiaoyan Li, Gang Zhang, Hongyu Pan, and Zhenhua Wang · 2022
Later among the works it cites.
Voxel-mae: Masked autoencoders for pre-training large-scale point clouds
Chen Min, Dawei Zhao, Liang Xiao, Yiming Nie, and Bin Dai · 2022
Later among the works it cites.
Gfnet: Geometric flow network for 3d point cloud semantic segmentation
Haibo Qiu, Baosheng Yu, and Dacheng Tao · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
3dssd: Point-based 3d single stage object detector
Zetong Yang, Yanan Sun, Shu Liu, and Jiaya Jia · 2020
Cited alongside, same era.
Polarnet: An improved grid representation for online lidar point clouds semantic segmentation
Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, and Hassan Foroosh · 2020
Cited alongside, same era.
A methodology for analyzing the impact of crosstalk on lidar measurements
Lara Brinon-Arranz, Tiana Rakotovao, Thierry Creuzet, Cem Karaoguz, and Oussama El-Hamzaoui · 2021
Cited alongside, same era.
Invisible for both camera and lidar: Security of multi-sensor fusion based perception in autonomous driving under physical-world attacks
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, and Bo Li · 2021
Cited alongside, same era.
Robustnav: Towards benchmarking robustness in embodied navigation
Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, and Aniruddha Kembhavi · 2021
Cited alongside, same era.
Lidar scan registration robust to extreme motions
Simon-Pierre Deschênes, Dominic Baril, Vladimír Kubelka, Philippe Giguère, and François Pomerleau · 2021
Cited alongside, same era.
Fog simulation on real lidar point clouds for 3d object detection in adverse weather
Martin Hahner, Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2021
Cited alongside, same era.
Benchmarking and analyzing point cloud classification under corruptions
Jiawei Ren, Liang Pan, and Ziwei Liu · 2022
Later among the works it cites.
Giulio Rossolini, Federico Nesti, Gianluca D’Amico, Saasha Nair, Alessandro Biondi, and Giorgio Buttazzo · 2022
Later among the works it cites.
Adverse weather denoising from adjacent point clouds
Alvari Seppänen, Risto Ojala, and Kari Tammi · 2022
Later among the works it cites.
Pillarnet: High-performance pillar-based 3d object detection
Guangsheng Shi, Ruifeng Li, and Chao Ma · 2022
Later among the works it cites.
Pv-rcnn++: Point-voxel feature set abstraction with local vector representation for 3d object detection
Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2022
Later among the works it cites.
Rcnn++: Point-voxel feature set abstraction with local vector representation for 3d object detection
Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2022
Later among the works it cites.
Benchmarking robustness of 3d point cloud recognition against common corruptions
Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, and Z. Morley Mao · 2022
Later among the works it cites.
Torchsparse: Efficient point cloud inference engine
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, and Song Han · 2022
Later among the works it cites.
Lidar distillation: bridging the beam-induced domain gap for 3d object detection
Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, and Jiwen Lu · 2022
Later among the works it cites.
Polarmix: A general data augmentation technique for lidar point clouds
Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, and Ling Shao · 2022
Later among the works it cites.
Transfer learning from synthetic to real lidar point cloud for semantic segmentation
Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, and Shijian Lu · 2022
Later among the works it cites.
2dpass: 2d priors assisted semantic segmentation on lidar point clouds
Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, and Zhen Li · 2022
Later among the works it cites.
Efficient point cloud segmentation with geometry-aware sparse networks
Maosheng Ye, Rui Wan, Shuangjie Xu, Tongyi Cao, and Qifeng Chen · 2022
Later among the works it cites.
Benchmarking the robustness of lidar-camera fusion for 3d object detection
Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, and Bing Wang · 2022
Later among the works it cites.
Centerformer: Center-based transformer for 3d object detection
Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, and Hassan Foroosh · 2022
Later among the works it cites.
Point-voxel adaptive feature abstraction for robust point cloud classification
Lifa Zhu, Changwei Lin, Cheng Zheng, and Ninghua Yang · 2022
Later among the works it cites.
Benchmarking robustness of 3d object detection to common corruption
Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, and Jun Zhu · 2023
Closest in time.
Rethinking range view representation for lidar segmentation
Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, and Ziwei Liu · 2023
Closest in time.
Conda: Unsupervised domain adaptation for lidar segmentation via regularized domain concatenation
Lingdong Kong, Niamul Quader, and Venice Erin Liong · 2023
Closest in time.
Lasermix for semi-supervised lidar semantic segmentation
Lingdong Kong, Jiawei Ren, Liang Pan, and Ziwei Liu · 2023
Closest in time.
Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion
Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yucheng Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, and Liang He · 2023
Closest in time.
Detzero: Rethinking offboard 3d object detection with long-term sequential point clouds
Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, et al · 2023
Closest in time.
Using a waffle iron for automotive point cloud semantic segmentation
Gilles Puy, Alexandre Boulch, and Renaud Marlet · 2023
Closest in time.
On the adversarial robustness of camera-based 3d object detection
Shaoyuan Xie, Zichao Li, Zeyu Wang, and Cihang Xie · 2023
Closest in time.
Benchmarking the robustness of lidar semantic segmentation models
Xu Yan, Chaoda Zheng, Zhen Li, Shuguang Cui, and Dengxin Dai · 2023
Closest in time.
Pids: Joint point interaction-dimension search for 3d point cloud
Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, and Yiran Chen · 2023
Closest in time.