Research of ship wake tracking based on image sonar

Author

Gao Lei ; Ji Da-xiong ; Zhang Yao

Author_Institution

State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China

fYear

2014

fDate

7-10 April 2014

Firstpage

1

Lastpage

4

Abstract

A long "V" shaped linear wake with lots of bubbles is formed behind a sailing ship, which provides a target feature of the ship. Ship wake acoustic detection is one of the most effective ways for the Autonomous Underwater Vehicle to automatically search, track and attack surface targets. In this paper, we processed the sonar image data of ship wake in the lake test, using the sonar image sequence of multiple features fusion method and Kalman filter method, matching the acoustic scattering strength characteristic and geometric characteristics to realize the detection and tracking of ship wake.

Keywords

Kalman filters; acoustic wave scattering; autonomous underwater vehicles; image sequences; object tracking; ships; sonar imaging; Kalman filter method; acoustic scattering; autonomous underwater vehicle; geometric characteristics; image sequence; image sonar; multiple features fusion method; sailing ship; ship wake acoustic detection; ship wake tracking research; sonar image data; target feature; Acoustic scattering; Marine vehicles; Noise; Sonar detection; Target tracking; Transforms; ship wake; sonar image; wake tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2014 - TAIPEI

Conference_Location

Taipei

Print_ISBN

978-1-4799-3645-8

Type

conf

DOI

10.1109/OCEANS-TAIPEI.2014.6964314

Filename

6964314