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Simulation forms the backbone of modern self-driving development.
Congested traffic states in empirical observations and microscopic simulations
M. Treiber, A. Hennecke, and D. Helbing · 2000
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Real-time traffic simulation with a microscopic model
J. Maroto, E. Delso, J. Félez, and J. Cabanellas · 2006
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Trafficmodeler: A graphical tool for programming microscopic traffic simulators through high-level abstractions
L. Papaleondiou and M. Dikaiakos · 2009
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Two-vehicle dynamics of the car-following models on realistic driving condition
F. E. Gunawan · 2012
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A kernel two-sample test
A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Schölkopf, and A. Smola · 2012
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Lane-changing model in sumo
J. Erdmann · 2014
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Crash injury research engineering network
National Highway Traffic Safety Administration · 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. Vazquez, and A. M. Lopez · 2016
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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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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin · 2017
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Driving in the matrix: Can virtual worlds replace human-generated annotations for real world tasks?
M. Johnson-Roberson, C. Barto, R. Mehta, S. N. Sridhar, K. Rosaen, and R. Vasudevan · 2017
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CARLA: An open urban driving simulator
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun · 2017
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Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2017
Cited alongside, same era.
Microscopic traffic simulation using sumo
P. A. Lopez, M. Behrisch, L. Bieker-Walz, J. Erdmann, Y.-P. Flötteröd, R. Hilbrich, L. Lücken, J. Rummel, P. Wagner, and E. Wießner · 2018
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Synscapes: A photorealistic synthetic dataset for street scene parsing
M. Wrenninge and J. Unger · 2018
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Structured domain randomization: Bridging the reality gap by context-aware synthetic data
A. Prakash, S. Boochoon, M. Brophy, D. Acuna, E. Cameracci, G. State, O. Shapira, and S. Birchfield · 2019
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Language models are unsupervised multitask learners
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever, et al · 2019
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Waymo open dataset: An autonomous driving dataset, 2019
Per-pixel classification is not all you need for semantic segmentation
B. Cheng, A. G. Schwing, and A. Kirillov · 2021
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Trafficgen: Learning to generate diverse and realistic traffic scenarios
L. Feng, Q. Li, Z. Peng, S. Tan, and B. Zhou · 2022
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Motionclip: Exposing human motion generation to clip space
G. Tevet, B. Gordon, A. Hertz, A. H. Bermano, and D. Cohen-Or · 2022
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Get3d: A generative model of high quality 3d textured shapes learned from images
J. Gao, T. Shen, Z. Wang, W. Chen, K. Yin, D. Li, O. Litany, Z. Gojcic, and S. Fidler · 2022
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Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, et al · 2022
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Waymo LLC · 2019
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
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Scenegen: Learning to generate realistic traffic scenes
S. Tan, K. Wong, S. Wang, S. Manivasagam, M. Ren, and R. Urtasun · 2021
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Zero-shot text-to-image generation
A. Ramesh, M. Pavlov, G. Goh, S. Gray, C. Voss, A. Radford, M. Chen, and I. Sutskever · 2021
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Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al · 2021
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Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction, 2021
B. Varadarajan, A. Hefny, A. Srivastava, K. S. Refaat, N. Nayakanti, A. Cornman, K. Chen, B. Douillard, C. P. Lam, D. Anguelov, and B. Sapp · 2021
Cited alongside, same era.
Rethinking the role of demonstrations: What makes in-context learning work?
S. Min, X. Lyu, A. Holtzman, M. Artetxe, M. Lewis, H. Hajishirzi, and L. Zettlemoyer · 2022
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Chain of thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, E. Chi, Q. Le, and D. Zhou · 2022
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Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Q. Li, Z. Peng, L. Feng, Q. Zhang, Z. Xue, and B. Zhou · 2022
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BITS: Bi-level imitation for traffic simulation
D. Xu, Y. Chen, B. Ivanovic, and M. Pavone · 2023
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Noise2music: Text-conditioned music generation with diffusion models
Q. Huang, D. S. Park, T. Wang, T. I. Denk, A. Ly, N. Chen, Z. Zhang, Z. Zhang, J. Yu, C. Frank, et al · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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