Journals
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...
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...
A Trajectory-Based Approach to Multi-Session Underwater Visual SLAM Using Global Image Signatures
This paper presents a multi-session monocular Simultaneous Localization and Mapping (SLAM) approach focused on underwater environments. The system is composed of three main blocks: a visual odometer, a loop detector, and an optimizer. Single session loop closings are...
Fault Tolerance in Highly-Reliable Ethernet-based Industrial Systems
Many industrial systems have specific requirements derived from the applications they execute. Specifically, the interaction of a Distributed Embedded Control System (DECS) with the real world imposes strict real-time and reliability requirements. For a system to be...
A Fault-Tolerant Ethernet for Hard Real-Time Adaptive Systems
Distributed embedded systems (DESs) that perform critical tasks in unpredictable environments must be reliable, hard real-time, and adaptive. Since a DES comprises nodes that rely on a network, the network must provide adequate support: it must be reliable, convey...