dc.contributor.author | Streeter, Lee | en_NZ |
dc.contributor.author | Scott, Jonathan B. | en_NZ |
dc.contributor.author | Lickfold, Carl A. | en_NZ |
dc.contributor.author | Cree, Michael J. | en_NZ |
dc.contributor.editor | Bailey, D. | en_NZ |
dc.contributor.editor | SenGupta, G. | en_NZ |
dc.contributor.editor | Marsland, S. | en_NZ |
dc.coverage.spatial | Palmerston North, New Zealand | en_NZ |
dc.date.accessioned | 2017-05-23T23:40:56Z | |
dc.date.available | 2016 | en_NZ |
dc.date.available | 2017-05-23T23:40:56Z | |
dc.date.issued | 2016 | en_NZ |
dc.identifier.citation | Streeter, L., Scott, J. B., Lickfold, C. A., & Cree, M. J. (2016). Design of a Pseudo-Holographic Distributed Time-of-Flight Sonar Range-Imaging System. In D. Bailey, G. SenGupta, & S. Marsland (Eds.), Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 208–213). Palmerston North, New Zealand: IEEE. https://doi.org/10.1109/IVCNZ.2016.7804452 | en |
dc.identifier.issn | 2151-2191 | en_NZ |
dc.identifier.uri | https://hdl.handle.net/10289/11077 | |
dc.description.abstract | The design of an audible sonar distributed sensor time-of-flight range imaging system is investigated, sonar being chosen as a substitute for optical range imaging due to cost and simplicity of implementation. The distributed range imaging system proposed is based on the holographic principle where the sensors detect the self interference of the reflected sound from the scene, and the Fourier analysis computes the reflected object profile. An approximate linearised model used in related holographic imaging techniques is found to be inappropriate for the design, and qualitative assessment of simulations show that removing the linearisation dramatically improves image reconstruction. Quantitatively the nonlinear reconstruction improves the RMSE by a factor of 1.3-2.1 times. The full nonlinear reconstruction is slow, and mathematical development lead to 15 fold reduction in computation time. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | IEEE | en_NZ |
dc.rights | This is an author’s accepted version of an article published in Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). © 2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE | |
dc.source | International Conference on Image and Vision Computing New Zealand (IVCNZ) | en_NZ |
dc.subject | Science & Technology | en_NZ |
dc.subject | Technology | en_NZ |
dc.subject | Computer Science, Artificial Intelligence | en_NZ |
dc.subject | Imaging Science & Photographic Technology | en_NZ |
dc.subject | Computer Science | en_NZ |
dc.subject | Holographic imaging | en_NZ |
dc.subject | sonar | en_NZ |
dc.subject | time-of-flight | en_NZ |
dc.subject | stepped frequency continuous wave | en_NZ |
dc.title | Design of a Pseudo-Holographic Distributed Time-of-Flight Sonar Range-Imaging System | en_NZ |
dc.type | Conference Contribution | |
dc.identifier.doi | 10.1109/IVCNZ.2016.7804452 | |
dc.relation.isPartOf | Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ) | en_NZ |
pubs.begin-page | 208 | |
pubs.elements-id | 143553 | |
pubs.end-page | 213 | |
pubs.finish-date | 2016-11-22 | en_NZ |
pubs.publication-status | Published | en_NZ |
pubs.start-date | 2016-11-21 | en_NZ |