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We introduce a transformation of a Neural Radiance Field (NeRF) to an equivalent Poisson Point Process (PPP).
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J. Ichnowski*, Y. Avigal*, J. Kerr, and K. Goldberg, “Dex-NeRF: Using a neural radiance field to grasp transparent objects,” in Conference on Robot Learning (CoRL) , 2020
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2023
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M. Tong, C. Dawson, and C. Fan, “Enforcing safety for vision-based controllers via control barrier functions and neural radiance fields,” in IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 10 511–10 517
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D. Maggio, M. Abate, J. Shi, C. Mario, and L. Carlone, “Loc-nerf: Monte carlo localization using neural radiance fields,” in IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 4018–4025
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N. Sünderhauf, J. Abou-Chakra, and D. Miller, “Density-aware nerf ensembles: Quantifying predictive uncertainty in neural radiance fields,” in IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 9370–9376
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S. Le Cleac’h, H.-X. Yu, M. Guo, T. Howell, R. Gao, J. Wu, Z. Manchester, and M. Schwager, “Differentiable physics simulation of dynamics-augmented neural objects,” IEEE Robotics and Automation Letters (RA-L) , vol. 8, no. 5, pp. 2780–2787, 2023
2023
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