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Vision-centric 3D environment understanding is both vital and challenging for autonomous driving systems.
A survey of the marching cubes algorithm
Timothy S Newman and Hong Yi · 2006
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Adam: A method for stochastic optimization
Diederick P Kingma and Jimmy Ba · 2015
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Semantically-guided representation learning for self-supervised monocular depth
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, and Adrien Gaidon · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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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
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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Lmscnet: Lightweight multiscale 3d semantic completion
Luis Roldao, Raoul de Charette, and Anne Verroust-Blondet · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
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Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, Yun Ye, and Dalong Du · 2021
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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
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Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
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Monoscene: Monocular 3d semantic scene completion
Anh-Quan Cao and Raoul de Charette · 2022
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Masked autoencoders are scalable vision learners
Scenerf: Self-supervised monocular 3d scene reconstruction with radiance fields
Anh-Quan Cao and Raoul de Charette · 2023
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Streetsurf: Extending multi-view implicit surface reconstruction to street views
Jianfei Guo, Nianchen Deng, Xinyang Li, Yeqi Bai, Botian Shi, Chiyu Wang, Chenjing Ding, Dongliang Wang, and Yikang Li · 2023
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Tri-perspective view for vision-based 3d semantic occupancy prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu · 2023
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Lode: Locally conditioned eikonal implicit scene completion from sparse lidar
Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, and Ya-Qin Zhang · 2023
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Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L Rus, and Song Han · 2023
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Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Tig-bev: Multi-view bev 3d object detection via target inner-geometry learning
Peixiang Huang, Li Liu, Renrui Zhang, Song Zhang, Xinli Xu, Baichao Wang, and Guoyi Liu · 2022
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Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, and Jifeng Dai · 2022
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Monocular scene reconstruction with 3d sdf transformers
Weihao Yuan, Xiaodong Gu, Heng Li, Zilong Dong, and Siyu Zhu · 2022
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Implicit occupancy flow fields for perception and prediction in self-driving
Ben Agro, Quinlan Sykora, Sergio Casas, and Raquel Urtasun · 2023
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Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo
Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, and Zeming Li
Cited in the paper.
Bevdepth: Acquisition of reliable depth for multi-view 3d object detection
Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, and Zeming Li
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R3d3: Dense 3d reconstruction of dynamic scenes from multiple cameras
Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, and Fisher Yu · 2023
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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
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Scene as occupancy
Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, et al · 2023
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Milo: Multi-task learning with localization ambiguity suppression for occupancy prediction cvpr 2023 occupancy challenge report
Thang Vu, Jung-Hee Kim, Myeongjin Kim, Seokwoo Jung, and Seong-Gyun Jeong · 2023
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Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction
Yunpeng Zhang, Phigent Robotics, and Zheng Zhu · 2023
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