Holographic navigation

Richard Rikoski, Daniel Brown

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

3 Citations (Scopus)

Abstract

This paper presents a method for navigating relative to the sea floor using sonar imagery. The aspect dependent terrain recognition problem is addressed by generating acoustic holograms of the sea floor containing images of all aspects of interest. Grazing angle compensation is applied to reduce the required spatial sampling from planar to linear. Sonar images are coherently correlated with centimeter resolution to provide navigational updates. The technique is demonstrated using five short duration missions in St. Andrew Bay and three long duration missions, with a combined extent of 69.7 km, in the Gulf of Mexico.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Pages73-80
Number of pages8
DOIs
StatePublished - Sep 18 2008
Event2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, United States
Duration: May 19 2008May 23 2008

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2008 IEEE International Conference on Robotics and Automation, ICRA 2008
CountryUnited States
CityPasadena, CA
Period5/19/085/23/08

Fingerprint

Sonar
Navigation
Holograms
Acoustics
Sampling
Compensation and Redress

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

Rikoski, R., & Brown, D. (2008). Holographic navigation. In 2008 IEEE International Conference on Robotics and Automation, ICRA 2008 (pp. 73-80). [4543189] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ROBOT.2008.4543189
Rikoski, Richard ; Brown, Daniel. / Holographic navigation. 2008 IEEE International Conference on Robotics and Automation, ICRA 2008. 2008. pp. 73-80 (Proceedings - IEEE International Conference on Robotics and Automation).
@inproceedings{8dc2c84efcef49329a041b8d43cbcb3a,
title = "Holographic navigation",
abstract = "This paper presents a method for navigating relative to the sea floor using sonar imagery. The aspect dependent terrain recognition problem is addressed by generating acoustic holograms of the sea floor containing images of all aspects of interest. Grazing angle compensation is applied to reduce the required spatial sampling from planar to linear. Sonar images are coherently correlated with centimeter resolution to provide navigational updates. The technique is demonstrated using five short duration missions in St. Andrew Bay and three long duration missions, with a combined extent of 69.7 km, in the Gulf of Mexico.",
author = "Richard Rikoski and Daniel Brown",
year = "2008",
month = "9",
day = "18",
doi = "10.1109/ROBOT.2008.4543189",
language = "English (US)",
isbn = "9781424416479",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
pages = "73--80",
booktitle = "2008 IEEE International Conference on Robotics and Automation, ICRA 2008",

}

Rikoski, R & Brown, D 2008, Holographic navigation. in 2008 IEEE International Conference on Robotics and Automation, ICRA 2008., 4543189, Proceedings - IEEE International Conference on Robotics and Automation, pp. 73-80, 2008 IEEE International Conference on Robotics and Automation, ICRA 2008, Pasadena, CA, United States, 5/19/08. https://doi.org/10.1109/ROBOT.2008.4543189

Holographic navigation. / Rikoski, Richard; Brown, Daniel.

2008 IEEE International Conference on Robotics and Automation, ICRA 2008. 2008. p. 73-80 4543189 (Proceedings - IEEE International Conference on Robotics and Automation).

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

TY - GEN

T1 - Holographic navigation

AU - Rikoski, Richard

AU - Brown, Daniel

PY - 2008/9/18

Y1 - 2008/9/18

N2 - This paper presents a method for navigating relative to the sea floor using sonar imagery. The aspect dependent terrain recognition problem is addressed by generating acoustic holograms of the sea floor containing images of all aspects of interest. Grazing angle compensation is applied to reduce the required spatial sampling from planar to linear. Sonar images are coherently correlated with centimeter resolution to provide navigational updates. The technique is demonstrated using five short duration missions in St. Andrew Bay and three long duration missions, with a combined extent of 69.7 km, in the Gulf of Mexico.

AB - This paper presents a method for navigating relative to the sea floor using sonar imagery. The aspect dependent terrain recognition problem is addressed by generating acoustic holograms of the sea floor containing images of all aspects of interest. Grazing angle compensation is applied to reduce the required spatial sampling from planar to linear. Sonar images are coherently correlated with centimeter resolution to provide navigational updates. The technique is demonstrated using five short duration missions in St. Andrew Bay and three long duration missions, with a combined extent of 69.7 km, in the Gulf of Mexico.

UR - http://www.scopus.com/inward/record.url?scp=51649112679&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51649112679&partnerID=8YFLogxK

U2 - 10.1109/ROBOT.2008.4543189

DO - 10.1109/ROBOT.2008.4543189

M3 - Conference contribution

SN - 9781424416479

T3 - Proceedings - IEEE International Conference on Robotics and Automation

SP - 73

EP - 80

BT - 2008 IEEE International Conference on Robotics and Automation, ICRA 2008

ER -

Rikoski R, Brown D. Holographic navigation. In 2008 IEEE International Conference on Robotics and Automation, ICRA 2008. 2008. p. 73-80. 4543189. (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ROBOT.2008.4543189