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Autonomous driving requires operation in different behavioral modes ranging from lane following and intersection crossing to turning and stopping.
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ADADELTA: an adaptive learning rate method
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A convex formulation for learning task relationships in multi-task learning
Y. Zhang and D. Yeung · 2012
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Vision meets robotics: The kitti dataset
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2013
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Real-time adaptive off-road vehicle navigation and terrain classification
U. A. Muller, L. D. Jackel, Y. LeCun, and B. Flepp · 2013
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Facial landmark detection by deep multi-task learning
Z. Zhang, P. Luo, C. C. Loy, and X. Tang · 2014
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Deepdriving: Learning affordance for direct perception in autonomous driving
C. Chen, A. Seff, A. Kornhauser, and J. Xiao · 2015
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Multimodal deep learning for robust rgb-d object recognition
A. Eitel, J. T. Springenberg, L. Spinello, M. Riedmiller, and W. Burgard · 2015
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End-to-end driving via conditional imitation learning
F. Codevilla, M. Müller, A. Dosovitskiy, A. López, and V. Koltun · 2017
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L. Kaiser, A. N. Gomez, N. Shazeer, A. Vaswani, N. Parmar, L. Jones, and J. Uszkoreit · 2017
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Autonomous control of a rc car with a convolutional neural network
D. Krasheninnikov et al · 2017
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The mapillary vistas dataset for semantic understanding of street scenes
G. Neuhold, T. Ollmann, S. R. Bulò, and P. Kontschieder · 2017
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An overview of multi-task learning in deep neural networks
S. Ruder · 2017
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B. Huval, T. Wang, S. Tandon, J. Kiske, W. Song, J. Pazhayampallil, M. Andriluka, P. Rajpurkar, T. Migimatsu, R. Cheng-Yue, et al · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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End to end learning for self-driving cars
M. Bojarski, D. Del Testa, D. Dworakowski, B. Firner, B. Flepp, P. Goyal, L. D. Jackel, M. Monfort, U. Muller, J. Zhang, et al · 2016
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The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
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A machine learning approach to visual perception of forest trails for mobile robots
A. Giusti, J. Guzzi, D. C. Cireşan, F.-L. He, J. P. Rodríguez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, et al · 2016
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Information theoretic mpc for model-based reinforcement learning
G. Williams, N. Wagener, B. Goldfain, P. Drews, J. M. Rehg, B. Boots, and E. A. Theodorou · 2017
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Where the sidewalk ends and robots deliver: Setting a framework for regulating personal delivery devices
C. M. Bascelli · 2018
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The apolloscape dataset for autonomous driving
X. Huang, X. Cheng, Q. Geng, B. Cao, D. Zhou, P. Wang, Y. Lin, and R. Yang · 2018
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End-to-end multi-modal multi-task vehicle control for self-driving cars with visual perception
Z. Yang, Y. Zhang, J. Yu, J. Cai, and J. Luo · 2018
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