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Knowledge of the road network topology is crucial for autonomous planning and navigation.
Survey of work on road extraction in aerial and satellite images
M-F Auclair-Fortier, Djemel Ziou, Costas Armenakis, and Shengrui Wang · 1999
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Remote sensing digital image analysis
John Alan Richards and JA Richards · 1999
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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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Autonomous driving in the icity—hd maps as a key challenge of the automotive industry
Heiko G Seif and Xiaolong Hu · 2016
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Efficient interactive annotation of segmentation datasets with polygon-rnn++
David Acuna, Huan Ling, Amlan Kar, and Sanja Fidler · 2018
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Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 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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Hierarchical recurrent attention networks for structured online maps
Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, and Raquel Urtasun · 2018
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Hierarchical recurrent attention networks for structured online maps
Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, and Raquel Urtasun · 2018
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End-to-end deep structured models for drawing crosswalks
Justin Liang and Raquel Urtasun · 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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Real-time dynamic object detection for autonomous driving using prior 3d-maps
B Ravi Kiran, Luis Roldao, Benat Irastorza, Renzo Verastegui, Sebastian Suss, Senthil Yogamani, Victor Talpaert, Alexandre Lepoutre, and Guillaume Trehard · 2018
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Iterative deep learning for road topology extraction
Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, and Luc Van Gool · 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 lane detection algorithm based on reliable lane markings
Yasin YenIaydin and Klaus Werner Schmidt · 2018
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Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
Mayank Bansal, Alex Krizhevsky, and Abhijit S. Ogale · 2019
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Improved road connectivity by joint learning of orientation and segmentation
Anil Batra, Suriya Singh, Guan Pang, Saikat Basu, CV Jawahar, and Manohar Paluri · 2019
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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 · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays · 2019
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Multimodal trajectory predictions for autonomous driving using deep convolutional networks
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, and Nemanja Djuric · 2019
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
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Fishing net: Future inference of semantic heatmaps in grids
Noureldin Hendy, Cooper Sloan, Feng Tian, Pengfei Duan, Nick Charchut, Yuesong Xie, Chuang Wang, and James Philbin · 2020
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2D-3D scene understanding for autonomous driving
Maximilian Jaritz · 2020
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Key points estimation and point instance segmentation approach for lane detection
YeongMin Ko, Jiwon Jun, Donghwuy Ko, and Moongu Jeon · 2020
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2020
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End-to-end lane detection through differentiable least-squares fitting
Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, and Luc Van Gool · 2019
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3d-lanenet: End-to-end 3d multiple lane detection
Noa Garnett, Rafi Cohen, Tomer Pe’er, Roee Lahav, and Dan Levi · 2019
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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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Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
Joey Hong, Benjamin Sapp, and James Philbin · 2019
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Convolutional recurrent network for road boundary extraction
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, and Raquel Urtasun · 2019
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Exploiting sparse semantic hd maps for self-driving vehicle localization
Wei-Chiu Ma, Ignacio Tartavull, Ioan Andrei Bârsan, Shenlong Wang, Min Bai, Gellert Mattyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky, and Raquel Urtasun · 2019
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Leveraging crowdsourced gps data for road extraction from aerial imagery
Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, and Yin Wang · 2019
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Monolayout: Amodal scene layout from a single image
Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, and K. Madhava Krishna · 2020
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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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Probabilistic semantic mapping for urban autonomous driving applications
David Paz, Hengyuan Zhang, Qinru Li, Hao Xiang, and Henrik Christensen · 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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Predicting semantic map representations from images using pyramid occupancy networks
Thomas Roddick and Roberto Cipolla · 2020
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Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps
Pengxiang Wu, Siheng Chen, and Dimitris N Metaxas · 2020
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Action sequence predictions of vehicles in urban environments using map and social context
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, and Luc Van Gool · 2020
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Structured bird’s-eye-view traffic scene understanding from onboard images
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, and Luc Van Gool · 2021
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Decoder fusion rnn: Context and interaction aware decoders for trajectory prediction
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