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Generating photorealistic driving videos has seen significant progress recently, but current methods largely focus on ordinary, non-adversarial scenarios.
D. Chen, B. Zhou, V. Koltun, and P. Krähenbühl · 1912
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End to end learning for self-driving cars
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B. Kim, C. M. Kang, S. H. Lee, H. Chae, J. Kim, C. C. Chung, and J. W. Choi · 2017
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The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?
P. Polack, F. Altché, B. d’Andréa Novel, and A. de La Fortelle · 2017
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Evaluating uncertainty quantification in end-to-end autonomous driving control
R. Michelmore, M. Kwiatkowska, and Y. Gal · 2018
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nuscenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
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Learning to collide: An adaptive safety-critical scenarios generating method
W. Ding, B. Chen, M. Xu, and D. Zhao · 2020
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Attacking vision-based perception in end-to-end autonomous driving models
A. Boloor, K. Garimella, X. He, C. Gill, Y. Vorobeychik, and X. Zhang · 2020
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Denoising diffusion implicit models
J. Song, C. Meng, and S. Ermon · 2020
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Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
S. Feng, X. Yan, H. Sun, Y. Feng, and H. X. Liu · 2021
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Neat: Neural attention fields for end-to-end autonomous driving
K. Chitta, A. Prakash, and A. Geiger · 2021
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Multi-modal fusion transformer for end-to-end autonomous driving
A. Prakash, K. Chitta, and A. Geiger · 2021
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Diffusion models beat gans on image synthesis
P. Dhariwal and A. Nichol · 2021
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Nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles
H. Caesar, J. Kabzan, K. S. Tan, W. K. Fong, E. Wolff, A. Lang, L. Fletcher, O. Beijbom, and S. Omari · 2022
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Openscene: The largest up-to-date 3d occupancy prediction benchmark in autonomous driving
O. Contributors · 2023
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Planning-oriented autonomous driving
Y. Hu, J. Yang, L. Chen, K. Li, C. Sima, X. Zhu, S. Chai, S. Du, T. Lin, W. Wang, et al · 2023
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Vad: Vectorized scene representation for efficient autonomous driving
B. Jiang, S. Chen, Q. Xu, B. Liao, J. Chen, H. Zhou, Q. Zhang, W. Liu, C. Huang, and X. Wang · 2023
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Dense reinforcement learning for safety validation of autonomous vehicles
S. Feng, H. Sun, X. Yan, H. Zhu, Z. Zou, S. Shen, and H. X. Liu · 2023
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Learning naturalistic driving environment with statistical realism
X. Yan, Z. Zou, S. Feng, H. Zhu, H. Sun, and H. X. Liu · 2023
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Language conditioned traffic generation
S. Tan, B. Ivanovic, X. Weng, M. Pavone, and P. Kraehenbuehl · 2023
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INT2: Interactive Trajectory Prediction at Intersections
Z. Yan, P. Li, Z. Fu, S. Xu, Y. Shi, X. Chen, Y. Zheng, Y. Li, T. Liu, C. Li, N. Luo, X. Gao, Y. Chen, Z. Wang, Y. Shi, P. Huang, Z. Han, J. Yuan, J. Gong, G. Zhou, H. Zhao, and H. Zhao · 2023
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B. Li, Y. Sun, Z. Liang, D. Du, Z. Zhang, X. Wang, Y. Wang, X. Jin, and W. Zeng · 2023
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R-pred: Two-stage motion prediction via tube-query attention-based trajectory refinement
S. Choi, J. Kim, J. Yun, and J. W. Choi · 2023
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Eigentrajectory: Low-rank descriptors for multi-modal trajectory forecasting
I. Bae, J. Oh, and H.-G. Jeon · 2023
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Adv3d: Generating safety-critical 3d objects through closed-loop simulation
J. Sarva, J. Wang, J. Tu, Y. Xiong, S. Manivasagam, and R. Urtasun · 2023
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Cat: Closed-loop adversarial training for safe end-to-end driving
L. Zhang, Z. Peng, Q. Li, and B. Zhou · 2023
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Generating transferable adversarial simulation scenarios for self-driving via neural rendering
Y. Abeysirigoonawardena, K. Xie, C. Chen, S. Hosseini, R. Chen, R. Wang, and F. Shkurti · 2023
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Towards scalable coverage-based testing of autonomous vehicles
J. Tu, S. Suo, C. Zhang, K. Wong, and R. Urtasun · 2023
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SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing, Mar. 2024
X. Song, J. Zheng, S. Yuan, H.-a. Gao, J. Zhao, X. He, W. Gu, and H. Zhao · 2024
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Drivedreamer: Towards real-world-driven world models for autonomous driving
X. Wang, Z. Zhu, G. Huang, X. Chen, and J. Lu · 2024
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Drivedreamer-2: Llm-enhanced world models for diverse driving video generation
G. Zhao, X. Wang, Z. Zhu, X. Chen, G. Huang, X. Bao, and X. Wang · 2024
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Magicdrive3d: Controllable 3d generation for any-view rendering in street scenes
R. Gao, K. Chen, Z. Li, L. Hong, Z. Li, and Q. Xu · 2024
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Uniscene: Unified occupancy-centric driving scene generation
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Multi-modal policy fusion for end-to-end autonomous driving
Z. Huang, S. Sun, J. Zhao, and L. Mao · 2023
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Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking
D. Dauner, M. Hallgarten, T. Li, X. Weng, Z. Huang, Z. Yang, H. Li, I. Gilitschenski, B. Ivanovic, M. Pavone, A. Geiger, and K. Chitta · 2024
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Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving
X. Jia, Z. Yang, Q. Li, Z. Zhang, and J. Yan · 2024
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Sparsedrive: End-to-end autonomous driving via sparse scene representation
W. Sun, X. Lin, Y. Shi, C. Zhang, H. Wu, and S. Zheng · 2024
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Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving
B. Liao, S. Chen, H. Yin, B. Jiang, C. Wang, S. Yan, X. Zhang, X. Li, Y. Zhang, Q. Zhang, and X. Wang · 2024
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Diffusion-es: Gradient-free planning with diffusion for autonomous and instruction-guided driving
B. Yang, H. Su, N. Gkanatsios, T.-W. Ke, A. Jain, J. Schneider, and K. Fragkiadaki · 2024
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Language-driven interactive traffic trajectory generation
J. Xia, C. Xu, Q. Xu, Y. Wang, and S. Chen · 2024
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B. Li, J. Guo, H. Liu, Y. Zou, Y. Ding, X. Chen, H. Zhu, F. Tan, C. Zhang, T. Wang, et al · 2024
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Streetcrafter: Street view synthesis with controllable video diffusion models
Y. Yan, Z. Xu, H. Lin, H. Jin, H. Guo, Y. Wang, K. Zhan, X. Lang, H. Bao, X. Zhou, et al · 2024
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Freevs: Generative view synthesis on free driving trajectory
Q. Wang, L. Fan, Y. Wang, Y. Chen, and Z. Zhang · 2024
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Genad: Generative end-to-end autonomous driving
W. Zheng, R. Song, X. Guo, and L. Chen · 2024
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Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Z. Xu, Y. Zhang, E. Xie, Z. Zhao, Y. Guo, K.-Y. K. Wong, Z. Li, and H. Zhao · 2024
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MonoOcc: Digging into Monocular Semantic Occupancy Prediction
Y. Zheng, X. Li, P. Li, Y. Zheng, B. Jin, C. Zhong, X. Long, H. Zhao, and Q. Zhang · 2024
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Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving
K. Ding, B. Chen, Y. Su, H.-a. Gao, B. Jin, C. Sima, X. Li, W. Zhang, P. Barsch, H. Li, and H. Zhao · 2024
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Singulartrajectory: Universal trajectory predictor using diffusion model
I. Bae, Y.-J. Park, and H.-G. Jeon · 2024
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Sparsead: Sparse query-centric paradigm for efficient end-to-end autonomous driving
D. Zhang, G. Wang, R. Zhu, J. Zhao, X. Chen, S. Zhang, J. Gong, Q. Zhou, W. Zhang, N. Wang, et al · 2024
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Vbench: Comprehensive benchmark suite for video generative models
Z. Huang, Y. He, J. Yu, F. Zhang, C. Si, Y. Jiang, Y. Zhang, T. Wu, Q. Jin, N. Chanpaisit, Y. Wang, X. Chen, L. Wang, D. Lin, Y. Qiao, and Z. Liu · 2024
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Grounded sam: Assembling open-world models for diverse visual tasks, 2024
T. Ren, S. Liu, A. Zeng, J. Lin, K. Li, H. Cao, J. Chen, X. Huang, Y. Chen, F. Yan, Z. Zeng, H. Zhang, F. Li, J. Yang, H. Li, Q. Jiang, and L. Zhang · 2024
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Sam 2: Segment anything in images and videos, 2024
N. Ravi, V. Gabeur, Y.-T. Hu, R. Hu, C. Ryali, T. Ma, H. Khedr, R. Rädle, C. Rolland, L. Gustafson, E. Mintun, J. Pan, K. V. Alwala, N. Carion, C.-Y. Wu, R. Girshick, P. Dollár, and C. Feichtenhofer · 2024
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NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving , volume 15088 of Lecture Notes in Computer Science , page 161–177
W. Ljungbergh, A. Tonderski, J. Johnander, H. Caesar, K. Åström, M. Felsberg, and C. Petersson · 2025
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AVD2: Accident Video Diffusion for Accident Video Description, Mar. 2025
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End-to-end autonomous driving through v2x cooperation
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