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LiDAR sensors are an integral part of modern autonomous vehicles as they provide an accurate, high-resolution 3D representation of the vehicle's surroundings.
Memory Locality Exploitation Strategies for FFT on the CUDA Architecture
Eladio Gutierrez, Sergio Romero, Maria A. Trenas, and Emilio L. Zapata · 2008
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3D Point Cloud Segmentation: A Survey
Anh Nguyen and Bac Le · 2013
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Data Layout Optimization for GPGPU Architectures
Jun Liu, Wei Ding, Ohyoung Jang, and Mahmut Kandemir · 2013
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Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, and Qian-Yi Zhou · 2018
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Semantickitti: A Dataset for Semantic Scene Understanding of Lidar Sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
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RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation
Andres Milioto, Ignacio Vizzo, Jens Behley, and Cyrill Stachniss · 2019
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KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Francois Goulette, and Leonidas J. Guibas · 2019
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Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu, Haotian Tang, Yujun Lin, and Song Han · 2019
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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
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4D Spatio-temporal Convnets: Minkowski Convolutional Neural Networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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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
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Bag of Freebies for Training Object Detection Neural Networks
Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, and Mu Li · 2019
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A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever, Jacob Lambert, Alexander Carballo, and Kazuya Takeda · 2020
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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.
Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions
Kieran Strobel, Sibo Zhu, Raphael Chang, and Skanda Koppula · 2020
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Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie, Jiaojiao Tian, and Xiao Xiang Zhu · 2020
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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.
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, and Andrew Markham · 2020
Cited alongside, same era.
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, and Song Han · 2021
Later among the works it cites.
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, and Shiliang Pu · 2021
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Real-Time Semantic Image Segmentation with Deep Learning for Autonomous Driving: A Survey
Ilias Papadeas, Lazaros Tsochatzidis, Angelos Amanatiadis, and Ioannis Pratikakis · 2021
Later among the works it cites.
A Comprehensive Survey of LIDAR-based 3D Object Detection Methods with Deep Learning for Autonomous Driving
Georgios Zamanakos, Lazaros Tsochatzidis, Angelos Amanatiadis, and Ioannis Pratikakis · 2021
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Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions
Ryan Razani, Ran Cheng, Ehsan Taghavi, and Liu Bingbing · 2021
Later among the works it cites.
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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.
Polarnet: An Improved Grid Representation for Online Lidar Point Clouds Semantic Segmentation
Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, and Hassan Foroosh · 2020
Cited alongside, same era.
Scan-Based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study
Larissa T. Triess, David Peter, Christoph B. Rist, and J. Marius Zöllner · 2020
Cited alongside, same era.
Cylinder3d: An Effective 3d Framework for Driving-Scene Lidar Semantic Segmentation
Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, and Dahua Lin · 2020
Cited alongside, same era.
Squeezesegv3: Spatially-adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, and Masayoshi Tomizuka · 2020
Cited alongside, same era.
SalsaNext: Fast, Uncertainty-Aware Semantic Segmentation of LiDAR Point Clouds
Tiago Cortinhal, George Tzelepis, and Eren Erdal Aksoy · 2020
Cited alongside, same era.
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, and Mohammed Bennamoun · 2021
Cited alongside, same era.
Semi-Local Convolutions for LiDAR Scan Processing
Larissa Triess, David Peter, and Johann Marius Zöllner · 2021
Later among the works it cites.
Automotive LiDAR Technology: A Survey
Ricardo Roriz, Jorge Cabral, and Tiago Gomes · 2022
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DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic Segmentation on Polar BEV
Wei Song, Zhen Liu, Ying Guo, Su Sun, Guidong Zu, and Maozhen Li · 2022
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Transformers in 3D Point Clouds: A Survey
Dening Lu, Qian Xie, Mingqiang Wei, Linlin Xu, and Jonathan Li · 2022
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3D Object Detection for Autonomous Driving: A Survey
Rui Qian, Xin Lai, and Xirong Li · 2022
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A Convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
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Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
Yuenan Hou, Xinge Zhu, Yuexin Ma, Chen Change Loy, and Yikang Li · 2022
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CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
Xiaoyan Li, Gang Zhang, Hongyu Pan, and Zhenhua Wang · 2022
Closest in time.