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Lane detection is to detect lanes on the road and provide the accurate location and shape of each lane.
Real time detection of lane markers in urban streets
M. Aly · 2008
Earlier work this paper cites.
Robust multiple lane road modeling based on perspective analysis
M. Nieto, L. Salgado, F. Jaureguizar, and J. Arrospide · 2008
Earlier work this paper cites.
Computer vision-based multiple-lane detection on straight road and in a curve
Y. Jiang, F. Gao, and G. Xu · 2010
Earlier work this paper cites.
A random finite set approach to multiple lane detection
H. Deusch, J. Wiest, S. Reuter, M. Szczot, M. Konrad, and K. Dietmayer · 2012
Earlier work this paper cites.
A novel multi-lane detection and tracking system
K. Zhao, M. Meuter, C. Nunn, D. Müller, S. Müller-Schneiders, and J. Pauli · 2012
Earlier work this paper cites.
Multi-lane detection in urban driving environments using conditional random fields
J. Hur, S.-N. Kang, and S.-W. Seo · 2013
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2014
Earlier work this paper cites.
An empirical evaluation of deep learning on highway driving
B. Huval, T. Wang, S. Tandon, J. Kiske, W. Song, J. Pazhayampallil, M. Andriluka, P. Rajpurkar, T. Migimatsu, and R. Chengyue · 2015
Cited alongside, same era.
U-Net: Convolutional Networks for Biomedical Image Segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Deeplanes: End-to-end lane position estimation using deep neural networks
A. Gurghian, T. Koduri, S. V. Bailur, K. J. Carey, and V. N. Murali · 2016
Cited alongside, same era.
Deep neural network for structural prediction and lane detection in traffic scene
J. Li, X. Mei, D. Prokhorov, and D. Tao · 2016
Cited alongside, same era.
Lane detection based on spiking neural network and hough transform
X. Li, Q. Wu, Y. Kou, L. Hou, and H. Yang · 2016
Cited alongside, same era.
Robust lane detection using two-stage feature extraction with curve fitting
Segnet: A deep convolutional encoder-decoder architecture for scene segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
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Vpgnet: Vanishing point guided network for lane and road marking detection and recognition
S. Lee, I. S. Kweon, J. Kim, J. S. Yoon, S. Shin, O. Bailo, N. Kim, T.-H. Lee, H. S. Hong, and S.-H. Han · 2017
Later among the works it cites.
Multiple lane detection algorithm based on novel dense vanishing point estimation
U. Ozgunalp, R. Fan, X. Ai, and N. Dahnoun · 2017
Later among the works it cites.
Vanishing point constrained lane detection with a stereo camera
Y. Su, Y. Zhang, T. Lu, J. Yang, and H. Kong · 2017
Later among the works it cites.
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J. Niu, J. Lu, M. Xu, P. Lv, and X. Zhao · 2016
Cited alongside, same era.
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
W. Shi, J. Caballero, F. Huszar, J. Totz, A. P. Aitken, R. Bishop, D. Rueckert, and Z. Wang · 2016
Cited alongside, same era.
A review of recent advances in lane detection and departure warning system
S. P. Narote, P. N. Bhujbal, A. S. Narote, and D. M. Dhane · 2018
Closest in time.