3-D motion estimation in passive navigation by acoustic imaging

Hassan Assalih, Shahriar Negahdaripour, Yvan Petillot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce a new method to tackle Motion Estimation, Correspondence Problem and 3D Reconstruction in underwater environments using an acoustic camera, such as, a DIDSON camera. Here, we mainly focus on motion estimation. We introduce the background on the new concepts of sampling a DIDSON arc and the Modified District Uniform Distribution (MDUD). The motion estimation methodology utilizes weighted-Hough array in choosing a solution from among many potential candidates.

Original languageEnglish
Title of host publicationMTS/IEEE Seattle, OCEANS 2010
DOIs
StatePublished - Dec 1 2010
EventMTS/IEEE Seattle, OCEANS 2010 - Seattle, WA, United States
Duration: Sep 20 2010Sep 23 2010

Other

OtherMTS/IEEE Seattle, OCEANS 2010
CountryUnited States
CitySeattle, WA
Period9/20/109/23/10

Fingerprint

Acoustic imaging
Motion estimation
Navigation
Cameras
Acoustics
Sampling

Keywords

  • Acoustic imaging
  • Motion estimation
  • Underwater imaging

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Ocean Engineering

Cite this

3-D motion estimation in passive navigation by acoustic imaging. / Assalih, Hassan; Negahdaripour, Shahriar; Petillot, Yvan.

MTS/IEEE Seattle, OCEANS 2010. 2010. 5664503.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Assalih, H, Negahdaripour, S & Petillot, Y 2010, 3-D motion estimation in passive navigation by acoustic imaging. in MTS/IEEE Seattle, OCEANS 2010., 5664503, MTS/IEEE Seattle, OCEANS 2010, Seattle, WA, United States, 9/20/10. https://doi.org/10.1109/OCEANS.2010.5664503
Assalih, Hassan ; Negahdaripour, Shahriar ; Petillot, Yvan. / 3-D motion estimation in passive navigation by acoustic imaging. MTS/IEEE Seattle, OCEANS 2010. 2010.
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