Fetching the paper…
Reading the bibliography…
Robotics applications often rely on scene reconstructions to enable downstream tasks.
P. E. Hart, N. J. Nilsson, and B. Raphael, “A formal basis for the heuristic determination of minimum cost paths,”
1968
Earlier work this paper cites.
L. Rudin and S. Osher, “Total variation based image restoration with free local constraints,” in
1994
Earlier work this paper cites.
B. Yamauchi, “A frontier-based approach for autonomous exploration,” in
1997
Earlier work this paper cites.
W. E. Lorensen and H. E. Cline, “Marching cubes: A high resolution 3d surface construction algorithm,” in
1998
Earlier work this paper cites.
M. Zwicker, H. Pfister, J. Van Baar, and M. Gross, “Ewa volume splatting,” in
2001
Earlier work this paper cites.
M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “Ros: an open-source robot operating system,” in
2009
Earlier work this paper cites.
S. Chen, Y. Li, and N. M. Kwok, “Active vision in robotic systems: A survey of recent developments,”
2011
Earlier work this paper cites.
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohli, J. Shotton, S. Hodges, and A. Fitzgibbon, “KinectFusion: Real-Time Dense Surface Mapping and Tracking,” in
2011
Earlier work this paper cites.
A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard, “Octomap: An efficient probabilistic 3d mapping framework based on octrees,”
2013
Earlier work this paper cites.
T. Whelan, S. Leutenegger, R. F. Salas-Moreno, B. Glocker, and A. J. Davison, “Elasticfusion: Dense slam without a pose graph.” in
2015
Earlier work this paper cites.
A. Bircher, M. Kamel, K. Alexis, H. Oleynikova, and R. Siegwart, “Receding horizon “next-best-view” planner for 3d exploration,” in
2016
Earlier work this paper cites.
S. Isler, R. Sabzevari, J. Delmerico, and D. Scaramuzza, “An information gain formulation for active volumetric 3d reconstruction,” in
2016
Earlier work this paper cites.
S. Song and S. Jo, “Online inspection path planning for autonomous 3d modeling using a micro-aerial vehicle,” in
2017
Earlier work this paper cites.
J. Behley and C. Stachniss, “Efficient surfel-based slam using 3d laser range data in urban environments,” in
2018
Earlier work this paper cites.
E. Palazzolo and C. Stachniss, “Effective Exploration for MAVs Based on the Expected Information Gain,”
2018
Cited alongside, same era.
——, “Surface-based exploration for autonomous 3d modeling,” in
2018
Cited alongside, same era.
M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik
2019
Cited alongside, same era.
2019
Cited alongside, same era.
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng, “Nerf: Representing scenes as neural radiance fields for view synthesis,” in
Y. Ran, J. Zeng, S. He, J. Chen, L. Li, Y. Chen, G. Lee, and Q. Ye, “Neurar: Neural uncertainty for autonomous 3d reconstruction with implicit neural representations,”
2023
Later among the works it cites.
D. Yan, J. Liu, F. Quan, H. Chen, and M. Fu, “Active implicit object reconstruction using uncertainty-guided next-best-view optimization,”
2023
Later among the works it cites.
Z. Yan, H. Yang, and H. Zha, “Active neural mapping,” in
2023
Later among the works it cites.
P. Dai, J. Xu, W. Xie, X. Liu, H. Wang, and W. Xu, “High-quality surface reconstruction using gaussian surfels,” in
2024
Closest in time.
Z. Feng, H. Zhan, Z. Chen, Q. Yan, X. Xu, C. Cai, B. Li, Q. Zhu, and Y. Xu, “Naruto: Neural active reconstruction from uncertain target observations,” in
2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2020
Cited alongside, same era.
L. Schmid, M. Pantic, R. Khanna, L. Ott, R. Siegwart, and J. Nieto, “An efficient sampling-based method for online informative path planning in unknown environments,”
2020
Cited alongside, same era.
R. Zeng, W. Zhao, and Y.-J. Liu, “Pc-nbv: A point cloud based deep network for efficient next best view planning,” in
2020
Cited alongside, same era.
Y. Kompis, L. Bartolomei, R. Mascaro, L. Teixeira, and M. Chli, “Informed sampling exploration path planner for 3d reconstruction of large scenes,”
2021
Cited alongside, same era.
B. Zhou, Y. Zhang, X. Chen, and S. Shen, “Fuel: Fast uav exploration using incremental frontier structure and hierarchical planning,”
2021
Cited alongside, same era.
Y. Gao, Y. Wang, X. Zhong, T. Yang, M. Wang, Z. Xu, Y. Wang, Y. Lin, C. Xu, and F. Gao, “Meeting-merging-mission: A multi-robot coordinate framework for large-scale communication-limited exploration,” in
2022
Cited alongside, same era.
T. Müller, A. Evans, C. Schied, and A. Keller, “Instant neural graphics primitives with a multiresolution hash encoding,”
2022
Cited alongside, same era.
X. Pan, Z. Lai, S. Song, and G. Huang, “Activenerf: Learning where to see with uncertainty estimation,” in
2022
Cited alongside, same era.
A. Guédon and V. Lepetit, “Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering,” in
2024
Closest in time.
B. Huang, Z. Yu, A. Chen, A. Geiger, and S. Gao, “2d gaussian splatting for geometrically accurate radiance fields,” in
2024
Closest in time.
W. Jiang, B. Lei, and K. Daniilidis, “Fisherrf: Active view selection and mapping with radiance fields using fisher information,” in
2024
Closest in time.
L. Jin, H. Kuang, Y. Pan, C. Stachniss, and M. Popović, “Stair: Semantic-targeted active implicit reconstruction,” in
2024
Closest in time.
R. Jin, Y. Gao, H. Lu, and F. Gao, “Gs-planner: A gaussian-splatting-based planning framework for active high-fidelity reconstruction,” in
2024
Closest in time.
Z. Kuang, Z. Yan, H. Zhao, G. Zhou, and H. Zha, “Active neural mapping at scale,” in
2024
Closest in time.
2024
Closest in time.