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Modern cars are incorporating an increasing number of driver assist features, among which automatic lane keeping.
M. Bertozzi and A. Broggi. Real-time lane and obstacle detection on the system.IV, 1996
1996
Earlier work this paper cites.
K.-Y. Chiu, S.-F. Lin, Lane detection using color-based segmentation. Intelligent Vehicles Symposium, pp. 706-711, 2005
2005
Earlier work this paper cites.
P. Smuda, R. Schweiger, H. Neumann, W. Ritter, Multiple cue data fusion with particle filters for road course detection in vision systems. Intelligent Vehicles Symposium, pp. 400-405, 2006
2006
Earlier work this paper cites.
M. Aly, Real time Detection of Lane Markers in Urban Streets. Intelligent Vehicles Symposium, pp. 7-12, 2008
2008
Earlier work this paper cites.
Z. Kim, Robust Lane Detection and Tracking in Challenging Scenarios. IEEE Trans. Intelligent Transportation Systems, vol. 9, no. 1, pp. 16-26, 2008
2008
Earlier work this paper cites.
R. Danescu, S. Nedevschi, Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision. IEEE Trans. Intelligent Transportation Systems, vol. 10, no. 2, pp. 272-282, 2009
2009
Earlier work this paper cites.
H. Loose, U. Franke, C. Stiller, Kalman particle filter for lane recognition on rural roads. Intelligent Vehicles Symposium, pp. 60-65, 2009
2009
Earlier work this paper cites.
C. Gackstatter, P. Heinemann, S. Thomas, G. Klinker, Stable road lane model based on clothoids. Advanced Microsystems for Automotive Applications, pp. 133-143, 2010
2010
Earlier work this paper cites.
G. Liu, F. Wörgötter, I. Markelic, Combining Statistical Hough Transform and Particle Filter for robust lane detection and tracking. Intelligent Vehicles Symposium, pp. 993-997, 2010
2010
Earlier work this paper cites.
A. López, J. Serrat, C. Canero, F. Lumbreras, T. Graf, Robust lane markings detection and road geometry computation. International Journal of Automotive Technology, vol. 11, no. 3, pp. 395-407, 2010
2010
Earlier work this paper cites.
Z. Teng, J.-H. Kim, D.-J. Kang, Real-time Lane detection by using multiple cues. Control Automation and Systems, pp. 2334-2337, 2010
2010
Earlier work this paper cites.
S. Zhou, Y. Jiang, J. Xi, J. Gong, G. Xiong, H. Chen, A novel lane detection based on geometrical model and Gabor filter. Intelligent Vehicles Symposium, pp. 59-64, 2010
2010
Earlier work this paper cites.
A. Borkar, M. Hayes, M. T. Smith, A Novel Lane Detection System With Efficient Ground Truth Generation. IEEE Trans. Intelligent Transportation Systems, vol. 13, no. 1, pp. 365-374, 2012
2012
Earlier work this paper cites.
H. Deusch, J. Wiest, S. Reuter, M. Szczot, M. Konrad, K. Dietmayer, A random finite set approach to multiple lane detection. ITSC, pp. 270-275, 2012
2012
Cited alongside, same era.
R. Gopalan, T. Hong, M. Shneier, R. Chellappa, A Learning Approach Towards Detection and Tracking of Lane Markings. IEEE Trans. Intelligent Transportation Systems, vol. 13, no. 3, pp. 1088-1098, 2012
2012
Cited alongside, same era.
J. Hur, S.-N. Kang, S.-W. Seo, Multi-lane detection in urban driving environments using conditional random fields. Intelligent Vehicles Symposium, pp. 1297-1302, 2013
2013
Cited alongside, same era.
H. Jung, J. Min, J. Kim, An efficient lane detection algorithm for lane departure detection. Intelligent Vehicles Symposium, pp. 976-981, 2013
2013
Cited alongside, same era.
A. Bar-Hillel, R. Lerner, D. Levi, G. Raz, Recent progress in road and lane detection: a survey. Mach. Vis. Appl., vol. 25, no. 3, pp. 727-745, 2014
M. Bai, R. Urtasun, Deep watershed transform for instance segmentation. CoRR abs/1611.08303, 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
A. Gurghian, T. Koduri, S. V. Bailur, K. J. Carey, V. N. Murali, DeepLanes: End-To-End Lane Position Estimation Using Deep Neural Networks. CVPR Workshops, pp. 38-45, 2016
2016
Later among the works it cites.
B. He, R. Ai, Y. Yan, X. Lang, Accurate and robust lane detection based on Dual-View Convolutional Neutral Network. Intelligent Vehicles Symposium, pp. 1041-1046, 2016
2016
Later among the works it cites.
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2014
Cited alongside, same era.
J. Kim, M. Lee, Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus. ICONIP, pp. 454-461, 2014
2014
Cited alongside, same era.
H. Tan, Y. Zhou, Y. Zhu, D. Yao, K. Li, A novel curve lane detection based on Improved River Flow and RANSA. ITSC, pp. 133-138, 2014
2014
Cited alongside, same era.
P.-C. Wu, C.-Y. Chang, C.-H. Lin, Lane-mark extraction for automobiles under complex conditions. Pattern Recognition, vol. 47, no. 8, pp. 2756-2767, 2014
2014
Cited alongside, same era.
2015
Cited alongside, same era.
J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation. CVPR 2015
2015
Cited alongside, same era.
H. Noh, S. Hong, B. Han, Learning deconvolution network for semantic segmentation. ICCV 2015
2015
Cited alongside, same era.
O. Ronneberger, P. Fischer, T. Brox, U-net: Convolutional networks for biomedical image segmentation. International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 234-241, 2015
2015
Cited alongside, same era.
2016
Later among the works it cites.
B. Romera-Paredes, P. H. Torr, Recurrent instance segmentation. ECCV, 2016
2016
Later among the works it cites.
J. Dai, K. He, and J. Sun. Instance-aware semantic segmentation via multi-task network cascades. In CVPR, 2016
2016
Later among the works it cites.
B. De Brabandere, D. Neven, L. Van Gool. CoRR abs/1708.02551, 2017
2017
Later among the works it cites.
K. He, G. Gkioxari, P. Dollar, R. Girshick, Mask R-CNN. CoRR abs/1703.06870, 2017
2017
Later among the works it cites.
J. Kim, C. Park, End-To-End Ego Lane Estimation Based on Sequential Transfer Learning for Self-Driving Cars. CVPR Workshops, pp. 1194-1202, 2017
2017
Later among the works it cites.
2017
Later among the works it cites.
J. Li, X. Mei, D. V. Prokhorov, D. Tao, Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene. IEEE Trans. Neural Netw. Learning Syst., vol. 28, no.3, pp. 690-703, 2017
2017
Later among the works it cites.
D. Neven, B. De Brabandere, S. Georgoulis, M. Proesmans, L. Van Gool, Fast Scene Understanding for Autonomous Driving. Deep Learning for Vehicle Perception, workshop at the IEEE Symposium on Intelligent Vehicles, 2017
2017
Later among the works it cites.