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Lane detection is one of the most important tasks in self-driving.
Lane boundary detection using a multiresolution hough transform
Yu, B.; and Jain, A. K. 1997 · 1997
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Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
Ko, Y.; Jun, J.; Ko, D.; and Jeon, M. 2020 · 2002
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Ultra Fast Structure-aware Deep Lane Detection
Qin, Z.; Wang, H.; and Li, X. 2020 · 2004
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HSI color model based lane-marking detection
Sun, T.-Y.; Tsai, S.-J.; and Chan, V. 2006 · 2006
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Heatmap-based Vanishing Point boosts Lane Detection
Liu, Y.-B.; Zeng, M.; and Meng, Q.-H. 2020 · 2007
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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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Large-Scale Machine Learning with Stochastic Gradient Descent
Bottou, L. 2010 · 2010
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Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Krähenbühl, P.; and Koltun, V. 2011 · 2011
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Recent progress in road and lane detection: A survey
bar hillel, A.; Lerner, R.; Levi, D.; and Raz, G. 2014 · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, K.; and Zisserman, A. 2014 · 2014
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An empirical evaluation of deep learning on highway driving
Huval, B.; Wang, T.; Tandon, S.; Kiske, J.; Song, W.; Pazhayampallil, J.; Andriluka, M.; Rajpurkar, P.; Migimatsu, T.; Cheng-Yue, R.; et al. 2015 · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, S.; and Szegedy, C. 2015 · 2015
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Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K.; and Zisserman, A. 2015 · 2015
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Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks
Bell, S.; Lawrence Zitnick, C.; Bala, K.; and Girshick, R. 2016 · 2016
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Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Howard, A. G.; Zhu, M.; Chen, B.; Kalenichenko, D.; Wang, W.; Weyand, T.; Andreetto, M.; and Adam, H. 2017 · 2017
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Erfnet: Efficient residual factorized convnet for real-time semantic segmentation
Romera, E.; Alvarez, J. M.; Bergasa, L. M.; and Arroyo, R. 2017 · 2017
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ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation
Bergasa, L. M.; Arroyo, R.; Romera, E.; and Alvarez, M. 2018 · 2018
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Towards end-to-end lane detection: an instance segmentation approach
Neven, D.; De Brabandere, B.; Georgoulis, S.; Proesmans, M.; and Van Gool, L. 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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Semantic object parsing with graph lstm
Liang, X.; Shen, X.; Feng, J.; Lin, L.; and Yan, S. 2016 · 2016
Cited alongside, same era.
Enet: A deep neural network architecture for real-time semantic segmentation
Paszke, A.; Chaurasia, A.; Kim, S.; and Culurciello, E. 2016 · 2016
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Chen, L.-C.; Papandreou, G.; Kokkinos, I.; Murphy, K.; and Yuille, A. L. 2017 · 2017
Cited alongside, same era.
RBNet: A Deep Neural Network for Unified Road and Road Boundary Detection
Chen, Z.; and Chen, Z. 2017 · 2017
Cited alongside, same era.
Accurate, large minibatch SGD
Doll, P.; Girshick, R.; and Noordhuis, P. 2017 · 2017
Cited alongside, same era.
Wang, Z.; Ren, W.; and Qiu, Q. 2018 · 2018
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PointLaneNet: Efficient end-to-end CNNs for accurate real-time lane detection
Chen, Z.; Liu, Q.; and Lian, C. 2019 · 2019
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Learning lightweight lane detection cnns by self attention distillation
Hou, Y.; Ma, Z.; Liu, C.; and Loy, C. C. 2019 · 2019
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FastDraw: Addressing the long tail of lane detection by adapting a sequential prediction network
Philion, J. 2019 · 2019
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Polynomial Learning Rate Policy with Warm Restart for Deep Neural Network
Mishra, P.; and Sarawadekar, K. 2019 · 2092
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