Showing 13 publications by Yifu Tao
SiLVR: scalable lidar-visual radiance field reconstruction with uncertainty quantification
Tao Y & Fallon M (2025), IEEE Transactions on Robotics, 42, 98-114
BibTeX
@article{silvrscalableli-2025/11,
title={SiLVR: scalable lidar-visual radiance field reconstruction with uncertainty quantification},
author={Tao Y & Fallon M},
journal={IEEE Transactions on Robotics},
volume={42},
pages={98-114},
publisher={Institute of Electrical and Electronics Engineers},
year = "2025"
}
PlanarMesh: building compact 3D meshes from LiDAR using incremental adaptive resolution reconstruction
Wang J, Chebrolu N, Tao Y & Fallon M (2025), 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 15726-15733
BibTeX
@inproceedings{planarmeshbuild-2025/11,
title={PlanarMesh: building compact 3D meshes from LiDAR using incremental adaptive resolution reconstruction},
author={Wang J, Chebrolu N, Tao Y & Fallon M},
booktitle={International Conference on Intelligent Robots and Systems (IROS 2025)},
pages={15726-15733},
year = "2025"
}
The Oxford Spires Dataset: Benchmarking large-scale LiDAR-visual localisation, reconstruction and radiance field methods
Tao Y, Muñoz-Bañón MÁ, Zhang L, Wang J, Fu LFT et al. (2025), The International Journal of Robotics Research
BibTeX
@article{theoxfordspires-2025/9,
title={The Oxford Spires Dataset: Benchmarking large-scale LiDAR-visual localisation, reconstruction and radiance field methods},
author={Tao Y, Muñoz-Bañón MÁ, Zhang L, Wang J, Fu LFT et al.},
journal={The International Journal of Robotics Research},
number={2783649251369905},
publisher={SAGE Publications},
year = "2025"
}
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification
Tao Y & Fallon M (2025)
BibTeX
@misc{silvrscalableli-2025/2,
title={SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with
Uncertainty Quantification},
author={Tao Y & Fallon M},
year = "2025"
}
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
Tao Y, Mu??oz-Ba????n M??, Zhang L, Wang J, Fu LFT et al. (2024)
BibTeX
@misc{theoxfordspires-2024/11,
title={The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual
Localisation, Reconstruction and Radiance Field Methods},
author={Tao Y, Mu??oz-Ba????n M??, Zhang L, Wang J, Fu LFT et al.},
year = "2024"
}
SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection
Tao Y, Bhalgat Y, Fu LFT, Mattamala M, Chebrolu N et al. (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 17983-17989
BibTeX
@inproceedings{silvrscalableli-2024/8,
title={SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection},
author={Tao Y, Bhalgat Y, Fu LFT, Mattamala M, Chebrolu N et al.},
booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
pages={17983-17989},
year = "2024"
}
Osprey: multisession autonomous aerial mapping with LiDAR-based SLAM and next best view planning
Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M (2024), IEEE Transactions on Field Robotics, 1, 113-130
BibTeX
@article{ospreymultisess-2024/7,
title={Osprey: multisession autonomous aerial mapping with LiDAR-based SLAM and next best view planning},
author={Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M},
journal={IEEE Transactions on Field Robotics},
volume={1},
pages={113-130},
publisher={IEEE},
year = "2024"
}
SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection
Tao Y, Bhalgat Y, Fu LFT, Mattamala M, Chebrolu N et al. (2024)
BibTeX
@misc{silvrscalableli-2024/3,
title={SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields
for Robotic Inspection},
author={Tao Y, Bhalgat Y, Fu LFT, Mattamala M, Chebrolu N et al.},
year = "2024"
}
Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning
Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M (2023)
BibTeX
@misc{ospreymultisess-2023/11,
title={Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM
and Next Best View Planning},
author={Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M},
year = "2023"
}
3D lidar reconstruction with probabilistic depth completion for robotic navigation
Tao Y, Popovi?? M, Wang Y, Digumarti ST, Chebrolu N et al. (2022), 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5339-5346,
BibTeX
@inproceedings{dlidarreconstru-2022/12,
title={3D lidar reconstruction with probabilistic depth completion for robotic navigation},
author={Tao Y, Popovi?? M, Wang Y, Digumarti ST, Chebrolu N et al.},
booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)},
pages={5339-5346,},
year = "2022"
}
3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation
Tao Y, Popovi?? M, Wang Y, Digumarti ST, Chebrolu N et al. (2022)
BibTeX
@misc{dlidarreconstru-2022/7,
title={3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic
Navigation},
author={Tao Y, Popovi?? M, Wang Y, Digumarti ST, Chebrolu N et al.},
year = "2022"
}
Uncertainty-aware lidar-visual 3d reconstruction
Tao Y (0)
BibTeX
@misc{uncertaintyawar-/,
title={Uncertainty-aware lidar-visual 3d reconstruction},
author={Tao Y}
}
Seeing in the dark: benchmarking egocentric 3D vision with the Oxford Day-and-Night Dataset
Wang Z, Bian W, Li X, Tao Y, Wang J et al. (0)
BibTeX
@inproceedings{seeinginthedark-/,
title={Seeing in the dark: benchmarking egocentric 3D vision with the Oxford Day-and-Night Dataset},
author={Wang Z, Bian W, Li X, Tao Y, Wang J et al.},
booktitle={39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025)}
}