• DocumentCode
    3512693
  • Title

    Using side scan sonar for relative navigation

  • Author

    Pinto, Miguel ; Ferreira, Bruno ; Matos, Anibal ; Cruz, Nuno

  • Author_Institution
    DEEC, FEUP, Porto, Portugal
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    2126
  • Lastpage
    2141
  • Abstract
    This paper describes the interaction between the kinematic model of the AUV MARES, and the measurement and observation of the environment through images obtained with the sonar use. Three types of sonar are discussed in this paper; there are forward-look, side scan and multibeam. But the sonar used to develop this work was the side scan sonar. The type of observations and characteristics of the environment provided by the sonar are described here. The method, which connects the sensory part of the vehicle with the observations of the sonar, was the Kalman filter (EKF). In this paper, are presented two simulations of filters for two different characteristics. Both filters estimate the characteristics of natural landmarks, creating an environment map, but both of them consider different states of the vehicle. Results of the simulation are obtained. The features that are considered are an underwater pipe on the floor and a wall. It also generated a control for the vehicle that provides the capacity to move along the feature/landmark from a reference distance.
  • Keywords
    Kalman filters; image sensors; mobile robots; navigation; remotely operated vehicles; robot vision; sonar imaging; underwater vehicles; AUV MARES; Kalman filter; forward-look sensor; kinematic model; multibeam sensor; relative navigation; side scan sensor; side scan sonar; underwater pipe; Mercury (metals); Sonar navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5415353
  • Filename
    5415353