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Large-scale deployment of autonomous vehicles has been continually delayed due to safety concerns.
X. Zhou, D. Wang, and P. Krähenbühl · 1904
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
K. Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio · 2014
Earlier work this paper cites.
Control in a safe set: Addressing safety in human-robot interactions
C. Liu and M. Tomizuka · 2014
Earlier work this paper cites.
Learning to navigate in complex environments
P. Mirowski, R. Pascanu, F. Viola, H. Soyer, A. J. Ballard, A. Banino, M. Denil, R. Goroshin, L. Sifre, K. Kavukcuoglu, et al · 2016
Earlier work this paper cites.
Virtual worlds as proxy for multi-object tracking analysis
A. Gaidon, Q. Wang, Y. Cabon, and E. Vig · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
J. L. Ba, J. R. Kiros, and G. E. Hinton · 2016
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
I. Loshchilov and F. Hutter · 2016
Earlier work this paper cites.
Teslas self-driving system cleared in deadly crash
N. E. Boudette · 2017
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Carla: An open urban driving simulator
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun · 2017
Earlier work this paper cites.
Ubers self-driving car saw the pedestrian but didnt swerve–report
S. Gibbs · 2018
Earlier work this paper cites.
End-to-end multi-modal sensors fusion system for urban automated driving
I. Sobh, L. Amin, S. Abdelkarim, K. Elmadawy, M. Saeed, O. Abdeltawab, M. Gamal, and A. El Sallab · 2018
Earlier work this paper cites.
Deep continuous fusion for multi-sensor 3d object detection
M. Liang, B. Yang, S. Wang, and R. Urtasun · 2018
Earlier work this paper cites.
Probabilistic prediction of vehicle semantic intention and motion
Y. Hu, W. Zhan, and M. Tomizuka · 2018
Earlier work this paper cites.
Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2018
Earlier work this paper cites.
Algorithms for verifying deep neural networks
C. Liu, T. Arnon, C. Lazarus, C. Strong, C. Barrett, and M. J. Kochenderfer · 2019
Earlier work this paper cites.
Holistic reinforcement learning: the role of structure and attention
A. Radulescu, Y. Niv, and I. Ballard · 2019
Earlier work this paper cites.
Exploring the limitations of behavior cloning for autonomous driving
F. Codevilla, E. Santana, A. M. López, and A. Gaidon · 2019
Cited alongside, same era.
Sam: Squeeze-and-mimic networks for conditional visual driving policy learning
A. Zhao, T. He, Y. Liang, H. Huang, G. V. d. Broeck, and S. Soatto · 2019
Cited alongside, same era.
End-to-end interpretable neural motion planner
W. Zeng, W. Luo, S. Suo, A. Sadat, B. Yang, S. Casas, and R. Urtasun · 2019
Cited alongside, same era.
Precog: Prediction conditioned on goals in visual multi-agent settings
N. Rhinehart, R. McAllister, K. Kitani, and S. Levine · 2019
Cited alongside, same era.
Learning by cheating
D. Chen, B. Zhou, V. Koltun, and P. Krähenbühl · 2020
Cited alongside, same era.
End-to-end model-free reinforcement learning for urban driving using implicit affordances
Blending anti-aliasing into vision transformer
S. Qian, H. Shao, Y. Zhu, M. Li, and J. Jia · 2021
Later among the works it cites.
Training data-efficient image transformers & distillation through attention
H. Touvron, M. Cord, M. Douze, F. Massa, A. Sablayrolles, and H. Jégou · 2021
Later among the works it cites.
Swin transformer: Hierarchical vision transformer using shifted windows
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo · 2021
Later among the works it cites.
Transformerfusion: Monocular rgb scene reconstruction using transformers
A. Bozic, P. Palafox, J. Thies, A. Dai, and M. Nießner · 2021
Later among the works it cites.
Socially-compatible behavior design of autonomous vehicles with verification on real human data
L. Wang, L. Sun, M. Tomizuka, and W. Zhan · 2021
Later among the works it cites.
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M. Toromanoff, E. Wirbel, and F. Moutarde · 2020
Cited alongside, same era.
Can autonomous vehicles identify, recover from, and adapt to distribution shifts?
A. Filos, P. Tigkas, R. McAllister, N. Rhinehart, S. Levine, and Y. Gal · 2020
Cited alongside, same era.
Exploring data aggregation in policy learning for vision-based urban autonomous driving
A. Prakash, A. Behl, E. Ohn-Bar, K. Chitta, and A. Geiger · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al · 2020
Cited alongside, same era.
Generative pretraining from pixels
M. Chen, A. Radford, R. Child, J. Wu, H. Jun, D. Luan, and I. Sutskever · 2020
Cited alongside, same era.
End-to-end object detection with transformers
N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, and S. Zagoruyko · 2020
Cited alongside, same era.
Tnt: Target-driven trajectory prediction
H. Zhao, J. Gao, T. Lan, C. Sun, B. Sapp, B. Varadarajan, Y. Shen, Y. Shen, Y. Chai, C. Schmid, et al · 2020
Cited alongside, same era.
The reasonable crowd: Towards evidence-based and interpretable models of driving behavior
B. Helou, A. Dusi, A. Collin, N. Mehdipour, Z. Chen, C. Lizarazo, C. Belta, T. Wongpiromsarn, R. D. Tebbens, and O. Beijbom · 2021
Later among the works it cites.
Hierarchical adaptable and transferable networks (hatn) for driving behavior prediction
L. Wang, Y. Hu, L. Sun, W. Zhan, M. Tomizuka, and C. Liu · 2021
Later among the works it cites.
L. Wang, Y. Hu, and C. Liu · 2021
Later among the works it cites.
Trajectory prediction with latent belief energy-based model
B. Pang, T. Zhao, X. Xie, and Y. N. Wu · 2021
Later among the works it cites.
Carla autonomous driving leaderboard
C. team · 2021
Later among the works it cites.
Gri: General reinforced imitation and its application to vision-based autonomous driving
R. Chekroun, M. Toromanoff, S. Hornauer, and F. Moutarde · 2021
Later among the works it cites.
urlhttps://kait0.github.io/files/master_thesis_bernhard_jaeger.pdf, 2021
Expert drivers for autonomous driving · 2021
Later among the works it cites.
Learning to drive from a world on rails
D. Chen, V. Koltun, and P. Krähenbühl · 2021
Later among the works it cites.
X. Jia, P. Wu, L. Chen, H. Li, Y. Liu, and J. Yan · 2022
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Transferable and adaptable driving behavior prediction
L. Wang, Y. Hu, L. Sun, W. Zhan, M. Tomizuka, and C. Liu · 2022
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Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline
P. Wu, X. Jia, L. Chen, J. Yan, H. Li, and Y. Qiao · 2022
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Learning from all vehicles
D. Chen and P. Krähenbühl · 2022
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Transfuser: Imitation with transformer-based sensor fusion for autonomous driving
K. Chitta, A. Prakash, B. Jaeger, Z. Yu, K. Renz, and A. Geiger · 2022
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