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The field of autonomous driving is experiencing a surge of interest in world models, which aim to predict potential future scenarios based on historical observations.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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World models
David Ha and Jürgen Schmidhuber · 2018
Earlier work this paper cites.
Dream to control: Learning behaviors by latent imagination
Danijar Hafner, Timothy Lillicrap, Jimmy Ba, and Mohammad Norouzi · 2019
Earlier work this paper cites.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Earlier work this paper cites.
Safe local motion planning with self-supervised freespace forecasting
Peiyun Hu, Aaron Huang, John Dolan, David Held, and Deva Ramanan · 2021
Earlier work this paper cites.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, and Dalong Du · 2021
Earlier work this paper cites.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
Earlier work this paper cites.
Monoscene: Monocular 3d semantic scene completion
Anh-Quan Cao and Raoul de Charette · 2022
Earlier work this paper cites.
Differentiable raycasting for self-supervised occupancy forecasting
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, and Deva Ramanan · 2022
Earlier work this paper cites.
Mimo is all you need : A strong multi-in-multi-out baseline for video prediction
Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, and Shuguang Cui · 2022
Earlier work this paper cites.
Muvo: A multimodal generative world model for autonomous driving with geometric representations
Daniel Bogdoll, Yitian Yang, and J Marius Zöllner · 2023
Earlier work this paper cites.
Openscene: The largest up-to-date 3d occupancy prediction benchmark in autonomous driving
OpenScene Contributors · 2023
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Applications of computer vision in autonomous vehicles: Methods, challenges and future directions
Xingshuai Dong and Massimiliano L Cappuccio · 2023
Cited alongside, same era.
A simple attempt for 3d occupancy estimation in autonomous driving
Wanshui Gan, Ningkai Mo, Hongbin Xu, and Naoto Yokoya · 2023
Cited alongside, same era.
Adriver-i: A general world model for autonomous driving
Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Yuqing Wen, Chi Zhang, Xiangyu Zhang, and Tiancai Wang · 2023
Cited alongside, same era.
Vad: Vectorized scene representation for efficient autonomous driving
Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, and Xinggang Wang · 2023
Cited alongside, same era.
Daydreamer: World models for physical robot learning
Philipp Wu, Alejandro Escontrela, Danijar Hafner, Pieter Abbeel, and Ken Goldberg · 2023
Later among the works it cites.
Uno: Unsupervised occupancy fields for perception and forecasting
Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, and Raquel Urtasun · 2024
Closest in time.
World models for autonomous driving: An initial survey
Yanchen Guan, Haicheng Liao, Zhenning Li, Jia Hu, Runze Yuan, Yunjian Li, Guohui Zhang, and Chengzhong Xu · 2024
Closest in time.
Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu · 2024
Closest in time.
Self-supervised multi-future occupancy forecasting for autonomous driving
Bernard Lange, Masha Itkina, Jiachen Li, and Mykel J Kochenderfer · 2024
Closest in time.
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Tarasha Khurana, Peiyun Hu, David Held, and Deva Ramanan · 2023
Cited alongside, same era.
Fb-occ: 3d occupancy prediction based on forward-backward view transformation
Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, and Jose M Alvarez · 2023
Cited alongside, same era.
Fully sparse 3d panoptic occupancy prediction
Haisong Liu, Haiguang Wang, Yang Chen, Zetong Yang, Jia Zeng, Li Chen, and Limin Wang · 2023
Cited alongside, same era.
Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision
Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, and Shanghang Zhang · 2023
Cited alongside, same era.
Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving
Xiaoyu Tian, Tao Jiang, Longfei Yun, Yue Wang, Yilun Wang, and Hang Zhao · 2023
Cited alongside, same era.
Wenwen Tong, Chonghao Sima, Tai Wang, Silei Wu, Hanming Deng, Li Chen, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, et al · 2023
Cited alongside, same era.
Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving
Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, and Jiwen Lu · 2023
Cited alongside, same era.
Gaia-1: A generative world model for autonomous driving
Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, and Gianluca Corrado
Cited in the paper.
Let occ flow: Self-supervised 3d occupancy flow prediction
Yili Liu, Linzhan Mou, Xuan Yu, Chenrui Han, Sitong Mao, Rong Xiong, and Yue Wang · 2024
Closest in time.
Driveworld: 4d pre-trained scene understanding via world models for autonomous driving
Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu, Zheng Zhu, Lei Jin, Jianshu Li, Yulan Guo, Junliang Xing, et al · 2024
Closest in time.
Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving
Yuqi Wang, Jiawei He, Lue Fan, Hongxin Li, Yuntao Chen, and Zhaoxiang Zhang · 2024
Closest in time.
Occllama: An occupancy-language-action generative world model for autonomous driving
Julong Wei, Shanshuai Yuan, Pengfei Li, Qingda Hu, Zhongxue Gan, and Wenchao Ding · 2024
Closest in time.
Visual point cloud forecasting enables scalable autonomous driving
Zetong Yang, Li Chen, Yanan Sun, and Hongyang Li · 2024
Closest in time.
Occworld: Learning a 3d occupancy world model for autonomous driving
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, and Jiwen Lu · 2024
Closest in time.