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Labeling LiDAR point clouds for training autonomous driving is extremely expensive and difficult.
Design and use paradigms for gazebo, an open-source multi-robot simulator
Koenig, N.; and Howard, A. 2004 · 2004
Earlier work this paper cites.
Nerf++: Analyzing and improving neural radiance fields
Zhang, K.; Riegler, G.; Snavely, N.; and Koltun, V. 2020 · 2010
Earlier work this paper cites.
BlenSor: Blender sensor simulation toolbox
Gschwandtner, M.; Kwitt, R.; Uhl, A.; and Pree, W. 2011 · 2011
Earlier work this paper cites.
Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
Geiger, A.; Lenz, P.; and Urtasun, R. 2012 · 2012
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Simonyan, K.; and Zisserman, A. 2015 · 2015
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
Cordts, M.; Omran, M.; Ramos, S.; Rehfeld, T.; Enzweiler, M.; Benenson, R.; Franke, U.; Roth, S.; and Schiele, B. 2016 · 2016
Earlier work this paper cites.
Categorical reparameterization with gumbel-softmax
Jang, E.; Gu, S.; and Poole, B. 2016 · 2016
Earlier work this paper cites.
CARLA: An Open Urban Driving Simulator
Dosovitskiy, A.; Ros, G.; Codevilla, F.; Lopez, A.; and Koltun, V. 2017 · 2017
Earlier work this paper cites.
The mapillary vistas dataset for semantic understanding of street scenes
Neuhold, G.; Ollmann, T.; Rota Bulo, S.; and Kontschieder, P. 2017 · 2017
Earlier work this paper cites.
Learning representations and generative models for 3d point clouds
Achlioptas, P.; Diamanti, O.; Mitliagkas, I.; and Guibas, L. 2018 · 2018
Earlier work this paper cites.
Li, C.-L.; Zaheer, M.; Zhang, Y.; Poczos, B.; and Salakhutdinov, R. 2018 · 2018
Earlier work this paper cites.
Airsim: High-fidelity visual and physical simulation for autonomous vehicles
Shah, S.; Dey, D.; Lovett, C.; and Kapoor, A. 2018 · 2018
Earlier work this paper cites.
A LiDAR Point Cloud Generator: From a Virtual World to Autonomous Driving
Yue, X.; Wu, B.; Seshia, S. A.; Keutzer, K.; and Sangiovanni-Vincentelli, A. L. 2018 · 2018
Earlier work this paper cites.
Deep generative modeling of lidar data
Caccia, L.; Van Hoof, H.; Courville, A.; and Pineau, J. 2019 · 2019
Earlier work this paper cites.
Rangenet++: Fast and accurate lidar semantic segmentation
Milioto, A.; Vizzo, I.; Behley, J.; and Stachniss, C. 2019 · 2019
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IDD: A dataset for exploring problems of autonomous navigation in unconstrained environments
Varma, G.; Subramanian, A.; Namboodiri, A.; Chandraker, M.; and Jawahar, C. 2019 · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Yang, G.; Huang, X.; Hao, Z.; Liu, M.-Y.; Belongie, S.; and Hariharan, B. 2019 · 2019
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nuscenes: A multimodal dataset for autonomous driving
Caesar, H.; Bankiti, V.; Lang, A. H.; Vora, S.; Liong, V. E.; Xu, Q.; Krishnan, A.; Pan, Y.; Baldan, G.; and Beijbom, O. 2020 · 2020
Cited alongside, same era.
Augmented lidar simulator for autonomous driving
Fang, J.; Zhou, D.; Yan, F.; Zhao, T.; Zhang, F.; Ma, Y.; Wang, L.; and Yang, R. 2020 · 2020
Cited alongside, same era.
MSeg: A composite dataset for multi-domain semantic segmentation
SegFormer: Simple and efficient design for semantic segmentation with transformers
Xie, E.; Wang, W.; Yu, Z.; Anandkumar, A.; Alvarez, J. M.; and Luo, P. 2021 · 2021
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Center-based 3D Object Detection and Tracking
Yin, T.; Zhou, X.; and Krähenbühl, P. 2021 · 2021
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In-place scene labelling and understanding with implicit scene representation
Zhi, S.; Laidlow, T.; Leutenegger, S.; and Davison, A. J. 2021 · 2021
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Cylinder3d: An effective 3d framework for driving-scene lidar semantic segmentation
Zhou, H.; Zhu, X.; Song, X.; Ma, Y.; Wang, Z.; Li, H.; and Lin, D. 2021 · 2021
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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Barron, J. T.; Mildenhall, B.; Verbin, D.; Srinivasan, P. P.; and Hedman, P. 2022 · 2022
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Depth-supervised NeRF: Fewer Views and Faster Training for Free
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Lambert, J.; Liu, Z.; Sener, O.; Hays, J.; and Koltun, V. 2020 · 2020
Cited alongside, same era.
Lidarsim: Realistic lidar simulation by leveraging the real world
Manivasagam, S.; Wang, S.; Wong, K.; Zeng, W.; Sazanovich, M.; Tan, S.; Yang, B.; Ma, W.-C.; and Urtasun, R. 2020 · 2020
Cited alongside, same era.
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Mildenhall, B.; Srinivasan, P. P.; Tancik, M.; Barron, J. T.; Ramamoorthi, R.; and Ng, R. 2020 · 2020
Cited alongside, same era.
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Yu, F.; Chen, H.; Wang, X.; Xian, W.; Chen, Y.; Liu, F.; Madhavan, V.; and Darrell, T. 2020 · 2020
Cited alongside, same era.
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Barron, J. T.; Mildenhall, B.; Tancik, M.; Hedman, P.; Martin-Brualla, R.; and Srinivasan, P. P. 2021 · 2021
Cited alongside, same era.
LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection
Fang, J.; Zuo, X.; Zhou, D.; Jin, S.; Wang, S.; and Zhang, L. 2021 · 2021
Cited alongside, same era.
Diffusion probabilistic models for 3d point cloud generation
Luo, S.; and Hu, W. 2021 · 2021
Cited alongside, same era.
Deng, K.; Liu, A.; Zhu, J.-Y.; and Ramanan, D. 2022 · 2022
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Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Fu, X.; Zhang, S.; Chen, T.; Lu, Y.; Zhu, L.; Zhou, X.; Geiger, A.; and Liao, Y. 2022 · 2022
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Learning to Simulate Realistic LiDARs
Guillard, B.; Vemprala, S.; Gupta, J. K.; Miksik, O.; Vineet, V.; Fua, P.; and Kapoor, A. 2022 · 2022
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Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
Kundu, A.; Genova, K.; Yin, X.; Fathi, A.; Pantofaru, C.; Guibas, L. J.; Tagliasacchi, A.; Dellaert, F.; and Funkhouser, T. 2022 · 2022
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Urban Radiance Fields
Rematas, K.; Liu, A.; Srinivasan, P. P.; Barron, J. T.; Tagliasacchi, A.; Funkhouser, T.; and Ferrari, V. 2022 · 2022
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Block-nerf: Scalable large scene neural view synthesis
Tancik, M.; Casser, V.; Yan, X.; Pradhan, S.; Mildenhall, B.; Srinivasan, P. P.; Barron, J. T.; and Kretzschmar, H. 2022 · 2022
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Neural Surface reconstruction based on Instant-NGP
Yuanchen, G. 2022 · 2022
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Learning to Generate Realistic LiDAR Point Clouds
Zyrianov, V.; Zhu, X.; and Wang, S. 2022 · 2022
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Zip-NeRF: Anti-aliased grid-based neural radiance fields
Barron, J. T.; Mildenhall, B.; Verbin, D.; Srinivasan, P. P.; and Hedman, P. 2023 · 2023
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