Exploring DRONET: Learning to Fly by Driving
DRONET presents a novel approach to safe and reliable outdoor navigation for Autonomous Underwater Vehicles (AUVs), addressing challenges such as obstacle avoidance and adherence to traffic laws. By utilizing a Residual Convolutional Neural Network (CNN) and a custom outdoor dataset, DRONET achieves
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Autonomous Underwater Detection of Smuggling Containers for Maritime Security
Innovative project led by Thomas Vonach of Subdron focusing on enhancing underwater detection capabilities to protect maritime areas and sea harbors. Utilizing Autonomous Underwater Vehicles (AUVs), the project aims to autonomously detect illegal obstacles such as cylindrical containers attached und
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