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3D lane detection which plays a crucial role in vehicle routing, has recently been a rapidly developing topic in autonomous driving.
Parameterizing homographies
Simon Baker, Ankur Datta, and Takeo Kanade · 2006
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 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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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Semantic instance segmentation with a discriminative loss function
Bert De Brabandere, Davy Neven, and Luc Van Gool · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Deep multi-sensor lane detection
Min Bai, Gellert Mattyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, and Raquel Urtasun · 2018
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Gen-lanenet: A generalized and scalable approach for 3d lane detection
Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, and Tae Eun Choe · 2018
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Towards end-to-end lane detection: an instance segmentation approach
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, and Luc Van Gool · 2018
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Spatial as deep: Spatial cnn for traffic scene understanding
Xingang Pan, Jianping Shi, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
Cited alongside, same era.
3d-lanenet: end-to-end 3d multiple lane detection
Noa Garnett, Rafi Cohen, Tomer Pe’er, Roee Lahav, and Dan Levi · 2019
Cited alongside, same era.
3d-lanenet+: Anchor free lane detection using a semi-local representation
Netalee Efrat, Max Bluvstein, Shaul Oron, Dan Levi, Noa Garnett, and Bat El Shlomo · 2020
Cited alongside, same era.
Cross-view semantic segmentation for sensing surroundings
Bowen Pan, Jiankai Sun, Ho Yin Tiga Leung, Alex Andonian, and Bolei Zhou · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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Condlanenet: a top-to-down lane detection framework based on conditional convolution
Lizhe Liu, Xiaohao Chen, Siyu Zhu, and Ping Tan · 2021
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Structure guided lane detection
Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, and Xiaolin Wei · 2021
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Keep your eyes on the lane: Real-time attention-guided lane detection
Lucas Tabelini, Rodrigo Berriel, Thiago M Paixao, Claudine Badue, Alberto F De Souza, and Thiago Oliveira-Santos · 2021
Later among the works it cites.
Polylanenet: Lane estimation via deep polynomial regression
Lucas Tabelini, Rodrigo Berriel, Thiago M Paixao, Claudine Badue, Alberto F De Souza, and Thiago Oliveira-Santos · 2021
Later among the works it cites.
Resa: Recurrent feature-shift aggregator for lane detection
Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, and Deng Cai · 2021
Later among the works it cites.
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Zequn Qin, Huanyu Wang, and Xi Li · 2020
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A sim2real deep learning approach for the transformation of images from multiple vehicle-mounted cameras to a semantically segmented image in bird’s eye view
Lennart Reiher, Bastian Lampe, and Lutz Eckstein · 2020
Cited alongside, same era.
End-to-end lane marker detection via row-wise classification
Seungwoo Yoo, Hee Seok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, and Duck Hoon Kim · 2020
Cited alongside, same era.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du · 2021
Cited alongside, same era.
Robust monocular 3d lane detection with dual attention
Yujie Jin, Xiangxuan Ren, Fengxiang Chen, and Weidong Zhang · 2021
Cited alongside, same era.
Hdmapnet: A local semantic map learning and evaluation framework
Qi Li, Yue Wang, Yilun Wang, and Hang Zhao · 2021
Cited alongside, same era.
Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, et al · 2022
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Rethinking efficient lane detection via curve modeling
Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, and Lizhuang Ma · 2022
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Reconstruct from top view: A 3d lane detection approach based on geometry structure prior
Chenguang Li, Jia Shi, Ya Wang, and Guangliang Cheng · 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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Learning to predict 3d lane shape and camera pose from a single image via geometry constraints
Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, and Zejian Yuan · 2022
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