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3D object detection is an important task in autonomous driving to perceive the surroundings.
Surface weather observations and reports
FEDERAL METEOROLOGICAL HANDBOOK No · 2005
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.
State of the art in surface reconstruction from point clouds
Matthew Berger, Andrea Tagliasacchi, Lee Seversky, Pierre Alliez, Joshua Levine, Andrei Sharf, and Claudio Silva · 2014
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
Earlier work this paper cites.
Loam: Lidar odometry and mapping in real-time
Ji Zhang and Sanjiv Singh · 2014
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Earlier work this paper cites.
MANOBS-Manual of Surface Weather Observations
Meteorological Service of Canada · 2015
Earlier work this paper cites.
Monocular 3d object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
Earlier work this paper cites.
Lost and found: detecting small road hazards for self-driving vehicles
Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, and Rudolf Mester · 2016
Earlier work this paper cites.
Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
Earlier work this paper cites.
3d bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Kosecka · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Earlier work this paper cites.
Generalisation in humans and deep neural networks
Robert Geirhos, Carlos RM Temme, Jonas Rauber, Heiko H Schütt, Matthias Bethge, and Felix A Wichmann · 2018
Earlier work this paper cites.
Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L Waslander · 2018
Earlier work this paper cites.
Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
Earlier work this paper cites.
Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Earlier work this paper cites.
Project title
UjjwalSaxena · 2018
Earlier work this paper cites.
Second: Sparsely embedded convolutional detection
Yan Yan, Yuxing Mao, and Bo Li · 2018
Earlier work this paper cites.
mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 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.
Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A Wichmann, and Wieland Brendel · 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.
Pointrcnn: 3d object proposal generation and detection from point cloud
Shaoshuai Shi, Xiaogang Wang, and Hongsheng Li · 2019
Earlier work this paper cites.
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
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Gnss nlos exclusion based on dynamic object detection using lidar point cloud
Weisong Weisong Wen, Guohao Zhang, and Li-Ta Hsu · 2019
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Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo · 2019
Cited alongside, same era.
The impact of adverse weather conditions on autonomous vehicles: How rain, snow, fog, and hail affect the performance of a self-driving car
Shizhe Zang, Ming Ding, David Smith, Paul Tyler, Thierry Rakotoarivelo, and Mohamed Ali Kaafar · 2019
Cited alongside, same era.
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
Fcos3d: Fully convolutional one-stage monocular 3d object detection
Tai Wang, Xinge Zhu, Jiangmiao Pang, and Dahua Lin · 2021
Later among the works it cites.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
Later among the works it cites.
Nature Machine Intelligence
Safe driving cars · 2022
Later among the works it cites.
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, and Chiew-Lan Tai · 2022
Later among the works it cites.
Futr3d: A unified sensor fusion framework for 3d detection
Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, and Hang Zhao · 2022
Later among the works it cites.
Focal sparse convolutional networks for 3d object detection
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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.
Libre: The multiple 3d lidar dataset
Alexander Carballo, Jacob Lambert, Abraham Monrroy, David Wong, Patiphon Narksri, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, and Kazuya Takeda · 2020
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Epnet: Enhancing point features with image semantics for 3d object detection
Tengteng Huang, Zhe Liu, Xiwu Chen, and Xiang Bai · 2020
Cited alongside, same era.
Smoke: Single-stage monocular 3d object detection via keypoint estimation
Zechen Liu, Zizhang Wu, and Roland Tóth · 2020
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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
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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
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Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, and Jiaya Jia · 2022
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Ithaca365: Dataset and driving perception under repeated and challenging weather conditions
Carlos A Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, et al · 2022
Later among the works it cites.
Viewfool: Evaluating the robustness of visual recognition to adversarial viewpoints
Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, and Jun Zhu · 2022
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Lidar snowfall simulation for robust 3d object detection
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Scaling out-of-distribution detection for real-world settings
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Delving into the devils of bird’s-eye-view perception: A review, evaluation and recipe
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Coda: A real-world road corner case dataset for object detection in autonomous driving
Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, et al · 2022
Later among the works it cites.
Common corruption robustness of point cloud detectors: Benchmark and enhancement
Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo, Xingyu Li, and Lei Ma · 2022
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Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
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Benchmarking and analyzing point cloud classification under corruptions
Jiawei Ren, Liang Pan, and Ziwei Liu · 2022
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Imvoxelnet: Image to voxels projection for monocular and multi-view general-purpose 3d object detection
Danila Rukhovich, Anna Vorontsova, and Anton Konushin · 2022
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Automotive lidar and vibration: Resonance, inertial measurement unit, and effects on the point cloud
Birgit Schlager, Thomas Goelles, Marco Behmer, Stefan Muckenhuber, Johann Payer, and Daniel Watzenig · 2022
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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
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Probabilistic and geometric depth: Detecting objects in perspective
Tai Wang, ZHU Xinge, Jiangmiao Pang, and Dahua Lin · 2022
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Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, and Justin Solomon · 2022
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Rain — Wikipedia, the free encyclopedia
Wikipedia · 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, et al · 2022
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Pointcutmix: Regularization strategy for point cloud classification
Jinlai Zhang, Lyujie Chen, Bo Ouyang, Binbin Liu, Jihong Zhu, Yujin Chen, Yanmei Meng, and Danfeng Wu · 2022
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Cat-det: Contrastively augmented transformer for multi-modal 3d object detection
Yanan Zhang, Jiaxin Chen, and Di Huang · 2022
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