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High-definition (HD) semantic maps are crucial in enabling autonomous vehicles to navigate urban environments.
Method for registration of 3-d shapes
Paul J Besl and Neil D McKay · 1992
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Charles L Lawson and Richard J Hanson · 1995
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The normal distributions transform: A new approach to laser scan matching
Peter Biber and Wolfgang Straßer · 2003
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Generalized-icp
Aleksandr Segal, Dirk Haehnel, and Sebastian Thrun · 2009
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Factor graphs and gtsam: A hands-on introduction
Frank Dellaert · 2012
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Enhancing road maps by parsing aerial images around the world
Gellert Mattyus, Shenlong Wang, Sanja Fidler, and Raquel Urtasun · 2015
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A review of point cloud registration algorithms for mobile robotics
François Pomerleau, Francis Colas, Roland Siegwart, et al · 2015
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Holistic 3d scene understanding from a single geo-tagged image
Shenlong Wang, Sanja Fidler, and Raquel Urtasun · 2015
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Semantic alignment of lidar data at city scale
Fisher Yu, Jianxiong Xiao, and Thomas Funkhouser · 2015
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Hd maps: Fine-grained road segmentation by parsing ground and aerial images
Gellért Máttyus, Shenlong Wang, Sanja Fidler, and Raquel Urtasun · 2016
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Torontocity: Seeing the world with a million eyes
Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, and Raquel Urtasun · 2016
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Machine learning assisted high-definition map creation
Jialin Jiao · 2018
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Hdnet: Exploiting hd maps for 3d object detection
Bin Yang, Ming Liang, and Raquel Urtasun · 2018
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A robust pose graph approach for city scale lidar mapping
Sheng Yang, Xiaoling Zhu, Xing Nian, Lu Feng, Xiaozhi Qu, and Teng Ma · 2018
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Monocular semantic occupancy grid mapping with convolutional variational encoder–decoder networks
Chenyang Lu, Marinus Jacobus Gerardus van de Molengraft, and Gijs Dubbelman · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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Multiview neural surface reconstruction by disentangling geometry and appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman · 2020
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Hdmapnet: A local semantic map learning and evaluation framework
Qi Li, Yue Wang, Yilun Wang, and Hang Zhao · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Neuralrecon: Real-time coherent 3d reconstruction from monocular video
Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou, and Hujun Bao · 2021
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Projecting your view attentively: Monocular road scene layout estimation via cross-view transformation
Weixiang Yang, Qi Li, Wenxi Liu, Yuanlong Yu, Yuexin Ma, Shengfeng He, and Jia Pan · 2021
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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
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Understanding bird’s-eye view semantic hd-maps using an onboard monocular camera
Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Paudel, and Luc Van Gool · 2020
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Local implicit grid representations for 3d scenes
Chiyu Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, and Thomas Funkhouser · 2020
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Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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Cross-view semantic segmentation for sensing surroundings
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
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Predicting semantic map representations from images using pyramid occupancy networks
Thomas Roddick and Roberto Cipolla · 2020
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Futr3d: A unified sensor fusion framework for 3d detection
Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, and Hang Zhao · 2022
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Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai · 2022
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Maptr: Structured modeling and learning for online vectorized hd map construction
Bencheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, and Chang Huang · 2022
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Vectormapnet: End-to-end vectorized hd map learning
Yicheng Liu, Yue Wang, Yilun Wang, and Hang Zhao · 2022
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Translating images into maps
Avishkar Saha, Oscar Mendez, Chris Russell, and Richard Bowden · 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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Hindsight is 20/20: Leveraging past traversals to aid 3d perception
Yurong You, Katie Z Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2022
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Cross-view transformers for real-time map-view semantic segmentation
Brady Zhou and Philipp Krähenbühl · 2022
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