Autonomous Sonar Processing on Uncrewed Surface Vehicles

#sonar #autonomous #auv #asv #uuv #asp #signal #processing

Abstract:

In maritime defence applications, the role of Sonar is evolving as equipment suppliers and defence forces transition from technologies which are traditionally operated by skilled crew members and require further effort to facilitate deeper tactical analysis, into a world where autonomous vehicles and onboard low power, high performance computing allows for ever more advanced technical solutions. The presenters are involved in providing Sonar processing software which enables Uncrewed Surface Vehicles (USV), alongside other naval defence craft, to detect, track and classify surface and subsurface biologics and vehicles.This presentation will break down the components of a USV equipped with an Autonomous Sonar Processing (ASP) system and explore how AI can be leveraged to further gain a competitive edge in autonomous applications.

Biography: Brenton Potter, SonarTech Atlas

Brenton Potter is a Senior Signal Processing Engineer at Sonartech Atlas, contributing in a technical capacity to submarine sonar processing applications enhanced with Machine Learning techniques. Brenton’s background reflects a strong focus on signal processing algorithm development, and brings experience to the defence space from past roles in the consumer electronics sector. Brenton holds a Bachelor of Electrical Engineering (B.Eng.) from RMIT University.