Title:
Numerical research of obstacle detection using forward looking sonar model based on a beam of rays
Authors:
- Piotr Szymak
- Rafal Kot
Published in:
(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023
DOI:
https://doi.org/10.7148/2023-0194
Citation format:
Piotr szymak, Rafal kot (2023). Numerical Research of Obstacle Detection Using Forward Looking Sonar Model Based on a Beam of Rays, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0194
Abstract:
More often, Autonomous Underwater Vehicles (AUVs) are used in underwater space to carry out
different missions from both civilian and military domains.
One of the sensors needed underwater for autonomous motion is the Forward Looking Sonar (FLS),
which is used mainly for obstacle detection. The paper undertakes the problem of the FLS modelling for
testing and verifying, e.g. different obstacle detection algorithms. The model based on a beam of rays has
been implemented for the popular type of FLS and then verified in a simulational environment.
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