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End-to-end approaches to autonomous driving have high sample complexity and are difficult to scale to realistic urban driving.
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Autonomous driving in urban environments: Boss and the urban challenge
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Learning from demonstration for autonomous navigation in complex unstructured terrain
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Flownet: Learning optical flow with convolutional networks
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The cityscapes dataset for semantic urban scene understanding
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Virtual worlds as proxy for multi-object tracking analysis
A. Gaidon, Q. Wang, Y. Cabon, and E. Vig · 2016
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Understanding realworld indoor scenes with synthetic data
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
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Asynchronous methods for deep reinforcement learning
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A survey of motion planning and control techniques for self-driving urban vehicles
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ENet: A deep neural network architecture for real-time semantic segmentation
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Playing for data: Ground truth from computer games
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The SYNTHIA dataset: A large collection of synthetic images for semantic segmentation of urban scenes
G. Ros, L. Sellart, J. Materzynska, D. Vázquez, and A. López · 2016
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High-fidelity simulation for evaluating robotic vision performance
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Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
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Scenenet RGB-D: Can 5M synthetic images beat generic ImageNet pre-training on indoor segmentation?
J. McCormac, A. Handa, S. Leutenegger, and A. J. Davison · 2017
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Virtual to real reinforcement learning for autonomous driving
X. Pan, Y. You, Z. Wang, and C. Lu · 2017
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Efficient ConvNet for real-time semantic segmentation
E. Romera, J. M. Álvarez, L. M. Bergasa, and R. Arroyo · 2017
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Sim-to-real robot learning from pixels with progressive nets
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CAD2RL: Real single-image flight without a single real image
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Towards adapting deep visuomotor representations from simulated to real environments
E. Tzeng, C. Devin, J. Hoffman, C. Finn, P. Abbeel, S. Levine, K. Saenko, and T. Darrell · 2016
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Augmented reality meets deep learning for car instance segmentation in urban scenes
H. A. Alhaija, S. K. Mustikovela, L. Mescheder, A. Geiger, and C. Rother · 2017
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Policy transfer via modularity and reward guiding
I. Clavera, D. Held, and P. Abbeel · 2017
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Learning modular neural network policies for multi-task and multi-robot transfer
C. Devin, A. Gupta, T. Darrell, P. Abbeel, and S. Levine · 2017
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CARLA: An open urban driving simulator
A. Dosovitskiy, G. Ros, F. Codevilla, A. López, and V. Koltun · 2017
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Gradient-free policy architecture search and adaptation
S. Ebrahimi, A. Rohrbach, and T. Darrell · 2017
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Autonomous driving
U. Franke · 2017
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F. Sadeghi and S. Levine · 2017
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Domain randomization for transferring deep neural networks from simulation to the real world
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel · 2017
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A. Tsirikoglou, J. Kronander, M. Wrenninge, and J. Unger · 2017
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Learning a visuomotor controller for real world robotic grasping using simulated depth images
U. Viereck, A. Pas, K. Saenko, and R. Platt · 2017
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Mutual alignment transfer learning
M. Wulfmeier, I. Posner, and P. Abbeel · 2017
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End-to-end learning of driving models from large-scale video datasets
H. Xu, Y. Gao, F. Yu, and T. Darrell · 2017
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Using simulation and domain adaptation to improve efficiency of deep robotic grasping
K. Bousmalis, A. Irpan, P. Wohlhart, Y. Bai, M. Kelcey, M. Kalakrishnan, L. Downs, J. Ibarz, P. Pastor, K. Konolige, S. Levine, and V. Vanhoucke · 2018
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End-to-end driving via conditional imitation learning
F. Codevilla, M. Müller, A. Dosovitskiy, A. López, and V. Koltun · 2018
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Virtual-to-real: Learning to control in visual semantic segmentation
Z.-W. Hong, Y.-M. Chen, S.-Y. Su, T.-Y. Shann, Y.-H. Chang, H.-K. Yang, B. H.-L. Ho, C.-C. Tu, Y.-C. Chang, T.-C. Hsiao, H.-W. Hsiao, S.-P. Lai, and C.-Y. Lee · 2018
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Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation
G. Kahn, A. Villaflor, B. Ding, P. Abbeel, and S. Levine · 2018
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Asymmetric actor critic for image-based robot learning
L. Pinto, M. Andrychowicz, P. Welinder, W. Zaremba, and P. Abbeel · 2018
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Sim2Real view invariant visual servoing by recurrent control
F. Sadeghi, A. Toshev, E. Jang, and S. Levine · 2018
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