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We present Laneformer, a conceptually simple yet powerful transformer-based architecture tailored for lane detection that is a long-standing research topic for visual perception in autonomous driving.
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks
Zou, Q.; Jiang, H.; Dai, Q.; Yue, Y.; Chen, L.; and Wang, Q. 2019 · 1903
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Hou, Y. 2019 · 1905
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Lane Detection and Classification using Cascaded CNNs
Pizzati, F.; Allodi, M.; Barrera, A.; and García, F. 2019 · 1907
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Learning lightweight lane detection cnns by self attention distillation
Hou, Y.; Ma, Z.; Liu, C.; and Loy, C. C. 2019 · 1908
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Dynamic Approach for Lane Detection using Google Street View and CNN
Mamidala, R. S.; Uthkota, U.; Shankar, M. B.; Antony, A. J.; and Narasimhadhan, A. V. 2019 · 1909
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Lane detection using histogram-based segmentation and decision trees
Gonzalez, J. P.; and Ozguner, U. 2000 · 2000
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Lane detection using spline model
Wang, Y.; Shen, D.; and Teoh, E. K. 2000 · 2000
Earlier work this paper cites.
PolyLaneNet: Lane estimation via deep polynomial regression
Tabelini, L.; Berriel, R.; Paixao, T. M.; Badue, C.; De Souza, A. F.; and Oliveira-Santos, T. 2020a · 2004
Earlier work this paper cites.
Lane detection using color-based segmentation
Chiu, K.-Y.; and Lin, S.-F. 2005 · 2005
Earlier work this paper cites.
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
Xu, H.; Wang, S.; Cai, X.; Zhang, W.; Liang, X.; and Li, Z. 2020 · 2007
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Effective lane detection and tracking method using statistical modeling of color and lane edge-orientation
Lee, J.-W.; and Cho, J.-S. 2009 · 2009
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An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2020 · 2010
Cited alongside, same era.
Keep your Eyes on the Lane: Attention-guided Lane Detection
Tabelini, L.; Berriel, R.; Paixão, T. M.; Badue, C.; De Souza, A. F.; and Olivera-Santos, T. 2020b · 2010
Cited alongside, same era.
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Zhu, X.; Su, W.; Lu, L.; Li, B.; Wang, X.; and Dai, J. 2020 · 2010
Cited alongside, same era.
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Wang, H.; Zhu, Y.; Adam, H.; Yuille, A.; and Chen, L.-C. 2020 · 2012
Cited alongside, same era.
A review of recent advances in lane detection and departure warning system
Narote, S. P.; Bhujbal, P. N.; Narote, A. S.; and Dhane, D. M. 2018 · 2018
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Spatial as deep: Spatial cnn for traffic scene understanding
Pan, X.; Shi, J.; Luo, P.; Wang, X.; and Tang, X. 2018 · 2018
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Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
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Recent trends in deep learning based natural language processing
Young, T.; Hazarika, D.; Poria, S.; and Cambria, E. 2018 · 2018
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BDD100K: A diverse driving video database with scalable annotation tooling
Yu, F.; Xian, W.; Chen, Y.; Liu, F.; Liao, M.; Madhavan, V.; and Darrell, T. 2018 · 2018
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Zheng, S.; Lu, J.; Zhao, H.; Zhu, X.; Luo, Z.; Wang, Y.; Fu, Y.; Feng, J.; Xiang, T.; Torr, P. H.; et al. 2020 · 2012
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S.; He, K.; Girshick, R.; and Sun, J. 2015 · 2015
Cited alongside, same era.
Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
Cited alongside, same era.
Robust lane detection using two-stage feature extraction with curve fitting
Niu, J.; Lu, J.; Xu, M.; Lv, P.; and Zhao, X. 2016 · 2016
Cited alongside, same era.
Tusimple lane detection challenge
TuSimple. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
Cited alongside, same era.
PointLaneNet: Efficient end-to-end CNNs for Accurate Real-Time Lane Detection
Chen, Z.; Liu, Q.; and Lian, C. 2019 · 2019
Later among the works it cites.
Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit
Li, X.; Li, J.; Hu, X.; and Yang, J. 2019 · 2019
Later among the works it cites.
End-to-end object detection with transformers
Carion, N.; Massa, F.; Synnaeve, G.; Usunier, N.; Kirillov, A.; and Zagoruyko, S. 2020 · 2020
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Robust Lane Detection via Expanded Self Attention
Lee, M.; Lee, J.; Lee, D.; Kim, W.; Hwang, S.; and Lee, S. 2021 · 2021
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End-to-end lane shape prediction with transformers
Liu, R.; Yuan, Z.; Liu, T.; and Xiong, Z. 2021 · 2021
Later among the works it cites.