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Recent advancements in statistical learning and computational abilities have enabled autonomous vehicle technology to develop at a much faster rate.
Semantic object classes in video: A high-definition ground truth database
Gabriel J. Brostow, Julien Fauqueur, and Roberto Cipolla · 2008
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Semantic mapping using mobile robots
D. F. Wolf and G. S. Sukhatme · 2008
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Epnp: An accurate o(n) solution to the pnp problem
Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua · 2009
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Robust vehicle localization in urban environments using probabilistic maps
J. Levinson and S. Thrun · 2010
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Classification and semantic mapping of urban environments
B. Douillard, D. Fox, F. Ramos, and H. Durrant-Whyte · 2011
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Automatic dense visual semantic mapping from street-level imagery
S. Sengupta, P. Sturgess, L. Ladický, and P. H. S. Torr · 2012
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Urban 3d semantic modelling using stereo vision
S. Sengupta, E. Greveson, A. Shahrokni, and P. H. S. Torr · 2013
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Semantic mapping for mobile robotics tasks: A survey
Ioannis Kostavelis and Antonios Gasteratos · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Deeproadmapper: Extracting road topology from aerial images
Gellért Máttyus, Wenjie Luo, and Raquel Urtasun · 2017
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The mapillary vistas dataset for semantic understanding of street scenes
Gerhard Neuhold, Tobias Ollmann, Samuel Rota Bulò, and Peter Kontschieder · 2017
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Rethinking atrous convolution for semantic image segmentation, 2017
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
Machine learning assisted high-definition map creation
J. Jiao · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
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Real-time semantic mapping for autonomous off-road navigation
Daniel Maturana, Po-Wei Chou, Masashi Uenoyama, and Sebastian Scherer · 2018
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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
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Pointseg: Real-time semantic segmentation based on 3d lidar point cloud, 2018
Yuan Wang, Tianyue Shi, Peng Yun, Lei Tai, and Ming Liu · 2018
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Cited alongside, same era.
Segcloud: Semantic segmentation of 3d point clouds
Lyne Tchapmi, Christopher Choy, Iro Armeni, JunYoung Gwak, and Silvio Savarese · 2017
Cited alongside, same era.
High-accuracy vehicle localization using a pre-built probability map
Yunming Shao, Charles Toth, Dorota A. Grejner-Brzezinska, and Lowber B. Strange · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollar, Zhuowen Tu, and Kaiming He · 2017
Cited alongside, same era.
Xception: Deep learning with depthwise separable convolutions
Francois Chollet · 2017
Cited alongside, same era.
J. Wu, J. Ruenz, and M. Althoff · 2018
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Dagmapper: Learning to map by discovering lane topology
Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, and Raquel Urtasun · 2019
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Lessons learned from deploying autonomous vehicles at UC San Diego
David Paz, Po-Jung Lai, Sumukha Harish, Hengyuan Zhang, Nathan Chan, Chun Hu, Sumit Binnani, and Henrik Christensen · 2019
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Improving semantic segmentation via video propagation and label relaxation
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, and Bryan Catanzaro · 2019
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Cnn-based lidar point cloud de-noising in adverse weather
Robin Heinzler, Florian Piewak, Philipp Schindler, and Wilhelm Stork · 2020
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