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


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. ©2010 IEEE.

Original languageEnglish
Title of host publicationMTS/IEEE Seattle, OCEANS 2010
Publication statusPublished - 2010
EventMTS/IEEE Seattle, OCEANS 2010 - Seattle, WA, United States
Duration: 20 Sept 201023 Sept 2010


ConferenceMTS/IEEE Seattle, OCEANS 2010
Country/TerritoryUnited States
CitySeattle, WA


  • Acoustic imaging
  • Motion estimation
  • Underwater imaging


Dive into the research topics of '3-D motion estimation in passive navigation by acoustic imaging'. Together they form a unique fingerprint.

Cite this