Publications | Systems, Robotics & Vision Group

Clock Synchronization in Integrated TSN-EtherCAT Networks

Moving towards new technologies, such as Time Sensitive Networking (TSN), in industries should be gradual with a proper integration process instead of replacing the existing ones to make it beneficial in terms of cost and performance. Within this context, this paper...

Towards Multi-Robot Visual Graph-SLAM for Autonomous Marine Vehicles

An Architecture for Highly Reliable Fault-Tolerant Adaptive Distributed Embedded Systems

Critical Adaptive Distributed Embedded Systems (ADESs) will play a key role in future cyber-physical systems (CPSs), since there is an increasing demand for carrying out critical operations in unpredictable environments. A critical ADES must rely on a communication...

Comparing Admission Control Architectures for Real-Time Ethernet

Industry 4.0 and Autonomous Driving are emerging resource-intensive distributed application domains that deal with open and evolving environments. These systems are subject to stringent resource, timing, and other non-functional constraints, as well as frequent...

Towards Visual Loop Detection in Underwater Robotics using a Deep Neural Network

{This paper constitutes a first step towards the use of Deep Neural Networks to fast and robustly detect underwater visual loops. The proposed architecture is based on an autoencoder, replacing the decoder part by a set of fully connected layers. Thanks to that it is...

Segmentation through patch classification: A neural network approach to detect Posidonia oceanica in underwater images

This paper focuses on the detection of Posidonia oceanica in underwater images. The input image is split into a set of patches that are classified as depicting Posidonia or not. Two different Neural Networks are proposed to perform the classification. A region growing...

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