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Collecting and annotating real-world data for safety-critical physical AI systems, such as Autonomous Vehicle (AV), is time-consuming and costly.
Lost and found: detecting small road hazards for self-driving vehicles
P. Pinggera, S. Ramos, S. Gehrig, U. Franke, C. Rother, and R. Mester · 2016
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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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Airsim: High-fidelity visual and physical simulation for autonomous vehicles
S. Shah, D. Dey, C. Lovett, and A. Kapoor · 2017
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A benchmark for anomaly segmentation
D. Hendrycks, S. Basart, M. Mazeika, M. Mostajabi, J. Steinhardt, and D. Song · 2019
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Detecting the unexpected via image resynthesis
K. Lis, K. Nakka, P. Fua, and M. Salzmann · 2019
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Albumentations: Fast and flexible image augmentations
A. Buslaev, V. I. Iglovikov, E. Khvedchenya, A. Parinov, M. Druzhinin, and A. A. Kalinin · 2020
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NeRF: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
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Lgsvl simulator: A high fidelity simulator for autonomous driving
G. Rong, B. H. Shin, H. Tabatabaee, Q. Lu, S. Lemke, M. Možeiko, E. Boise, G. Uhm, M. Gerow, S. Mehta, et al · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine, V. Vasudevan, W. Han, J. Ngiam, H. Zhao, A. Timofeev, S. Ettinger, M. Krivokon, A. Gao, A. Joshi, Y. Zhang, J. Shlens, Z. Chen, and D. Anguelov · 2020
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Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
M. Hahner, C. Sakaridis, D. Dai, and L. Van Gool · 2021
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Safety-aware motion prediction with unseen vehicles for autonomous driving
X. Ren, T. Yang, L. E. Li, A. Alahi, and Q. Chen · 2021
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Advsim: Generating safety-critical scenarios for self-driving vehicles
J. Wang, A. Pun, J. Tu, S. Manivasagam, A. Sadat, S. Casas, M. Ren, and R. Urtasun · 2021
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Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
X. Bai, Z. Hu, X. Zhu, Q. Huang, Y. Chen, H. Fu, and C.-L. Tai · 2022
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One ontology to rule them all: Corner case scenarios for autonomous driving
D. Bogdoll, S. Guneshka, and J. M. Zöllner · 2022
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Persformer: 3d lane detection via perspective transformer and the openlane benchmark
L. Chen, C. Sima, Y. Li, Z. Zheng, J. Xu, X. Geng, H. Li, C. He, J. Shi, Y. Qiao, et al · 2022
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LiDAR Snowfall Simulation for Robust 3D Object Detection
M. Hahner, C. Sakaridis, M. Bijelic, F. Heide, F. Yu, D. Dai, and L. Van Gool · 2022
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Let-3d-ap: Longitudinal error tolerant 3d average precision for camera-only 3d detection, 2022
W.-C. Hung, H. Kretzschmar, V. Casser, J.-J. Hwang, and D. Anguelov · 2022
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Coda: A real-world road corner case dataset for object detection in autonomous driving
K. Li, K. Chen, H. Wang, L. Hong, C. Ye, J. Han, Y. Chen, W. Zhang, C. Xu, D.-Y. Yeung, et al · 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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Magicdrive: Street view generation with diverse 3d geometry control
R. Gao, K. Chen, E. Xie, L. Hong, Z. Li, D.-Y. Yeung, and Q. Xu · 2023
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Gaia-1: A generative world model for autonomous driving
A. Hu, L. Russell, H. Yeo, Z. Murez, G. Fedoseev, A. Kendall, J. Shotton, and G. Corrado · 2023
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Neural lidar fields for novel view synthesis
S. Huang, Z. Gojcic, Z. Wang, F. Williams, Y. Kasten, S. Fidler, K. Schindler, and O. Litany · 2023
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3d gaussian splatting for real-time radiance field rendering
B. Kerbl, G. Kopanas, T. Leimkühler, and G. Drettakis · 2023
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Neural scene rasterization for large scene rendering in real time
J. Y. Liu, Y. Chen, Z. Yang, J. Wang, S. Manivasagam, and R. Urtasun · 2023
Cited alongside, same era.
Latr: 3d lane detection from monocular images with transformer
Y. Luo, C. Zheng, X. Yan, T. Kun, C. Zheng, S. Cui, and Z. Li · 2023
Cited alongside, same era.
Scalable diffusion models with transformers
W. Peebles and S. Xie · 2023
Cited alongside, same era.
Neural lighting simulation for urban scenes
A. Pun, G. Sun, J. Wang, Y. Chen, Z. Yang, S. Manivasagam, W.-C. Ma, and R. Urtasun · 2023
Cited alongside, same era.
Adv3d: Generating safety-critical 3d objects through closed-loop simulation
J. Sarva, J. Wang, J. Tu, Y. Xiong, S. Manivasagam, and R. Urtasun · 2023
Cited alongside, same era.
Drivedreamer: Towards real-world-drive world models for autonomous driving
X. Wang, Z. Zhu, G. Huang, X. Chen, J. Zhu, and J. Lu · 2024
Later among the works it cites.
Detdiffusion: Synergizing generative and perceptive models for enhanced data generation and perception
Y. Wang, R. Gao, K. Chen, K. Zhou, Y. Cai, L. Hong, Z. Li, L. Jiang, D.-Y. Yeung, Q. Xu, et al · 2024
Later among the works it cites.
Editable scene simulation for autonomous driving via collaborative llm-agents
Y. Wei, Z. Wang, Y. Lu, C. Xu, C. Liu, H. Zhao, S. Chen, and Y. Wang · 2024
Later among the works it cites.
Panacea: Panoramic and controllable video generation for autonomous driving
Y. Wen, Y. Zhao, Y. Liu, F. Jia, Y. Wang, C. Luo, C. Zhang, T. Wang, X. Sun, and X. Zhang · 2024
Later among the works it cites.
Dynamic lidar re-simulation using compositional neural fields
H. Wu, X. Zuo, S. Leutenegger, O. Litany, K. Schindler, and S. Huang · 2024
Later among the works it cites.
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Y. Wang, J. He, L. Fan, H. Li, Y. Chen, and Z. Zhang · 2023
Cited alongside, same era.
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
Z. Wang, T. Shen, J. Gao, S. Huang, J. Munkberg, J. Hasselgren, Z. Gojcic, W. Chen, and S. Fidler · 2023
Cited alongside, same era.
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
Z. Wang, T. Shen, J. Gao, S. Huang, J. Munkberg, J. Hasselgren, Z. Gojcic, W. Chen, and S. Fidler · 2023
Cited alongside, same era.
Datasetdm: Synthesizing data with perception annotations using diffusion models
W. Wu, Y. Zhao, H. Chen, Y. Gu, R. Zhao, Y. He, H. Zhou, M. Z. Shou, and C. Shen · 2023
Cited alongside, same era.
Emernerf: Emergent spatial-temporal scene decomposition via self-supervision
J. Yang, B. Ivanovic, O. Litany, X. Weng, S. W. Kim, B. Li, T. Che, D. Xu, S. Fidler, M. Pavone, and Y. Wang · 2023
Cited alongside, same era.
Unisim: A neural closed-loop sensor simulator
Z. Yang, Y. Chen, J. Wang, S. Manivasagam, W.-C. Ma, A. J. Yang, and R. Urtasun · 2023
Cited alongside, same era.
Adding conditional control to text-to-image diffusion models
L. Zhang, A. Rao, and M. Agrawala · 2023
Cited alongside, same era.
A. Yang, B. Yang, B. Zhang, B. Hui, B. Zheng, B. Yu, C. Li, D. Liu, F. Huang, H. Wei, H. Lin, J. Yang, J. Tu, J. Zhang, J. Yang, J. Yang, J. Zhou, J. Lin, K. Dang, K. Lu, K. Bao, K. Yang, L. Yu, M. Li, M. Xue, P. Zhang, Q. Zhu, R. Men, R. Lin, T. Li, T. Xia, X. Ren, X. Ren, Y. Fan, Y. Su, Y. Zhang, Y. Wan, Y. Liu, Z. Cui, Z. Zhang, and Z. Qiu · 2024
Later among the works it cites.
Drivedreamer4d: World models are effective data machines for 4d driving scene representation
G. Zhao, C. Ni, X. Wang, Z. Zhu, X. Zhang, Y. Wang, G. Huang, X. Chen, B. Wang, Y. Zhang, et al · 2024
Later among the works it cites.
Cosmos world foundation model platform for physical ai
N. Agarwal, A. Ali, M. Bala, Y. Balaji, E. Barker, T. Cai, P. Chattopadhyay, Y. Chen, Y. Cui, Y. Ding, et al · 2025
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S. Bai, K. Chen, X. Liu, J. Wang, W. Ge, S. Song, K. Dang, P. Wang, S. Wang, J. Tang, H. Zhong, Y. Zhu, M. Yang, Z. Li, J. Wan, P. Wang, W. Ding, Z. Fu, Y. Xu, J. Ye, X. Zhang, T. Xie, Z. Cheng, H. Zhang, Z. Yang, H. Xu, and J. Lin · 2025
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Automated evaluation of large vision-language models on self-driving corner cases
K. Chen, Y. Li, W. Zhang, Y. Liu, P. Li, R. Gao, L. Hong, M. Tian, X. Zhao, Z. Li, et al · 2025
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Jisam: Alleviate labeling burden and corner case problems in autonomous driving via minimal real-world data
R. Chen, W. Shao, B. Zhang, S. Shi, L. Jiang, and P. Luo · 2025
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Trackdiffusion: Tracklet-conditioned video generation via diffusion models
P. Li, K. Chen, Z. Liu, R. Gao, L. Hong, D.-Y. Yeung, H. Lu, and X. Jia · 2025
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Diffusionrenderer: Neural inverse and forward rendering with video diffusion models
R. Liang, Z. Gojcic, H. Ling, J. Munkberg, J. Hasselgren, Z.-H. Lin, J. Gao, A. Keller, N. Vijaykumar, S. Fidler, and Z. Wang · 2025
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Nexar dashcam collision prediction dataset and challenge, 2025
D. C. Moura, S. Zhu, and O. Zvitia · 2025
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Accelerate the future of ai-defined vehicles and autonomous driving - in-car computer: Alpamayo network architecture
NVIDIA · 2025
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Cosmos-transfer1: Conditional world generation with adaptive multimodal control, 2025
NVIDIA, H. Abu Alhaija, J. Alvarez, M. Bala, T. Cai, T. Cao, L. Cha, J. Chen, M. Chen, F. Ferroni, S. Fidler, D. Fox, Y. Ge, J. Gu, A. Hassani, M. Isaev, P. Jannaty, S. Lan, T. Lasser, H. Ling, M.-Y. Liu, X. Liu, Y. Lu, A. Luo, Q. Ma, H. Mao, F. Ramos, X. Ren, T. Shen, S. Tang, T.-C. Wang, J. Wu, J. Xu, S. Xu, K. Xie, Y. Ye, X. Yang, X. Zeng, and Y. Zeng · 2025
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Gen3c: 3d-informed world-consistent video generation with precise camera control
X. Ren, T. Shen, J. Huang, H. Ling, Y. Lu, M. Nimier-David, T. Müller, A. Keller, S. Fidler, and J. Gao · 2025
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Gaia-2: A controllable multi-view generative world model for autonomous driving
L. Russell, A. Hu, L. Bertoni, G. Fedoseev, J. Shotton, E. Arani, and G. Corrado · 2025
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Drivingforward: Feed-forward 3d gaussian splatting for driving scene reconstruction from flexible surround-view input
Q. Tian, X. Tan, Y. Xie, and L. Ma · 2025
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Yolov12: Attention-centric real-time object detectors
Y. Tian, Q. Ye, and D. Doermann · 2025
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Difix3d+: Improving 3d reconstructions with single-step diffusion models
J. Z. Wu, Y. Zhang, H. Turki, X. Ren, J. Gao, M. Z. Shou, S. Fidler, Z. Gojcic, and H. Ling · 2025
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3dgut: Enabling distorted cameras and secondary rays in gaussian splatting
Q. Wu, J. Martinez Esturo, A. Mirzaei, N. Moenne-Loccoz, and Z. Gojcic · 2025
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