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We introduce CARLA, an open-source simulator for autonomous driving research.
ALVINN: An autonomous land vehicle in a neural network
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V. Haltakov, C. Unger, and S. Ilic · 2013
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Robust PID steering control in parameter space for highly automated driving
M. T. Emirler, I. M. C. Uygan, B. A. Güvenç, and L. Güvenç · 2014
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DeepDriving: Learning affordance for direct perception in autonomous driving
C. Chen, A. Seff, A. L. Kornhauser, and J. Xiao · 2015
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Adam: A method for stochastic optimization
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Human-level control through deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, et al · 2015
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Evaluating visual ADAS components on the COnGRATS dataset
D. H. Biedermann, M. Ochs, and R. Mester · 2016
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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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Asynchronous methods for deep reinforcement learning
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. P. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu · 2016
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A benchmark and simulator for UAV tracking
M. Müller, N. Smith, and B. Ghanem · 2016
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A survey of motion planning and control techniques for self-driving urban vehicles
B. Paden, M. Cáp, S. Z. Yong, D. S. Yershov, and E. Frazzoli · 2016
Benefit of large field-of-view cameras for visual odometry
Z. Zhang, H. Rebecq, C. Forster, and D. Scaramuzza · 2016
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AutonoVi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints
A. Best, S. Narang, D. Barber, and D. Manocha · 2017
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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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Learning to act by predicting the future
A. Dosovitskiy and V. Koltun · 2017
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Autonomous driving
U. Franke · 2017
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Deep reinforcement learning that matters
P. Henderson, R. Islam, P. Bachman, J. Pineau, D. Precup, and D. Meger · 2017
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Playing for data: Ground truth from computer games
S. R. Richter, V. Vineet, S. Roth, and V. Koltun · 2016
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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
J. Skinner, S. Garg, N. Sünderhauf, P. I. Corke, B. Upcroft, and M. Milford · 2016
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Unreal Engine 4
Epic Games
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TORCS, The Open Racing Car Simulator
B. Wymann, E. Espié, C. Guionneau, C. Dimitrakakis, R. Coulom, and A. Sumner
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Reinforcement learning with unsupervised auxiliary tasks
M. Jaderberg, V. Mnih, W. M. Czarnecki, T. Schaul, J. Z. Leibo, D. Silver, and K. Kavukcuoglu · 2017
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RefineNet: Multi-path refinement networks for high-resolution semantic segmentation
G. Lin, A. Milan, C. Shen, and I. Reid · 2017
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Playing for benchmarks
S. R. Richter, Z. Hayder, and V. Koltun · 2017
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