Neural Implicit Surface Reconstruction using Imaging Sonar
Author:
Affiliation:
1. The Robotics Institute, Carnegie Mellon University,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161206.pdf?arnumber=10161206
Reference48 articles.
1. 3-d reconstruction of underwater object based on extended kalman filter by using acoustic camera images;mai;IFAC-PapersOnLine,2017
2. Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction;wang;Advances in neural information processing systems,2021
3. Underwater Terrain Reconstruction from Forward-Looking Sonar Imagery
4. Multiview neural surface reconstruction by disentangling geometry and appearance;yariv;Advances in neural information processing systems,2020
5. Degeneracy-Aware Imaging Sonar Simultaneous Localization and Mapping
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1. Multibeam Forward-Looking Sonar Video Object Tracking Using Truncated - Sparsity and Aberrances Repression Regularization;IEEE Robotics and Automation Letters;2024-02
2. Generation of High-resolution Submarine Topography for Verifying Autonomous Driving Algorithm of Underwater Vehicle;Journal of the KNST;2023-12-31
3. Motion Degeneracy in Self-supervised Learning of Elevation Angle Estimation for 2D Forward-Looking Sonar;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
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