THIS GRANT IS A CONTINUATION OF N000141410373 ACOUSTIC STRUCTURE FROM MOTION

Abstract

The proposed three year project is to develop and demonstrate robust real-time geometry recovery and data association algorithms for ASFM, and to apply these techniques to multi-session FBN. We will use simulated data as well as previously recorded FLS and SSS data for algorithm development and testing. Verification will be performed on existing assets including the ONR funded hovering autonomous underwater vehicle (HAUV) at MIT.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 23, 2016
Source ID
N000141612365

Entities

People

  • Michael Kaess

Organizations

  • Massachusetts Institute of Technology
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Aerospace Engineering
  • Computer Vision.
  • Research Science/Academic Research