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Rescue vessels are the main actors in maritime safety and rescue operations.At the same time, aerial drones bring a significant advantage into thisscenario. This paper presents the research directions of the AutoSOS project,where we work in the development of an autonomous multi-robot search and rescueassistance platform capable of sensor fusion and object detection in embeddeddevices using novel lightweight AI models. The platform is meant to performreconnaissance missions for initial assessment of the environment using noveladaptive deep learning algorithms that efficiently use the available sensorsand computational resources on drones and rescue vessel. When drones findpotential objects, they will send their sensor data to the vessel to verity thefindings with increased accuracy. The actual rescue and treatment operation areleft as the responsibility of the rescue personnel. The drones willautonomously reconfigure their spatial distribution to enable multi-hopcommunication, when a direct connection between a drone transmittinginformation and the vessel is unavailable.

AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing