Autonomous Search System, AuSSys

Purpose and goal:

The aims and objectives of the project were fullled since an autonomous search system has been conceptualized, implemented and tested/demonstrated. The image-based Automatic Target Search System developed by the Brazilian sub-project was integrated with the AuSSys aerial autonomous system. The deep learning-based classication system has been used during autonomous sea search missions.

Live video feeds were delivered to the classication server in Brazil, and results were sent back and used to generate alarms when objects of interest were identied. Expected results and effects:

The expected results have been achieved. The results of both the Brazilian and Swedish sub-projects were integrated and tested. Interfaces between the project partners have been dened, allowing seamless integration and live/video demonstrations. Results were also disseminated in the form of a video and a poster presented during the WASP WARA-PS 2022 workshop to a large number of academic and industrial participants. Results associated with the project are being prepared for scientic publication.

Approach and implementation:

Functionalities associated with the task, information, and interaction perspectives were integrated into an Autonomous Search System prototype/demonstrator. The image analysis sub-system that includes classication developed by the Brazilian sub-project has been integrated within the AuSSys prototype. Several SAR scenarios have been dened and demonstrated during the WASP WARA-PS 2022 workshop, where integrated software prototypes developed within the project were used.