New Technologies to Characterize the State of Submarine Forest and their Services to Marine Ecosystems: A Field Campaign in Cabrera National Park

De-Flickering SubMarine Images in Robotic Applications

Deep Learning of Image Global Signatures for Underwater LoopClosing Detection

CNN-Driven Seabed Exploration: Reactive PathAdjustment for Species Detection and Control

Optimizing Submarine Photo Mosaicking byFiltering Redundant Images

AI-Driven Marine Citizen Science: SECOSTA’s Blueprint for SeabedExploration

YOLOv8-based sea urchin detection in ROS for AUV applications

Exploring deep waters: preliminary findings and design insights from a stereo vision unit deployment

Lanty: A Deep Sea Stereo Vision System

An Improved Worst-Case Response Time Analysis for AVB Traffic in Time-Sensitive Networks

Time-Sensitive Networking (TSN) has become one of the most relevant communication networks in many application areas. Among several traffic classes supported by TSN networks, Audio-Video Bridging (AVB) traffic requires a Worst-Case Response Time Analysis (WCRTA) to ensure that AVB frames meet their time requirements. In this paper, we evaluate the existing WCRTAs that cover various features of TSN, including Scheduled Traffic (ST) interference and preemption. We detect optimism problems in two of the existing WCRTAs, the analysis based on the busy period calculation and the analysis based on the eligible interval, when considering the effect of ST interference. Then, we propose a new analysis by developing a new ST interference calculation that can extend the analysis based on the eligible interval approach. The analysis covers the effect of the ST interference, the preemption by the ST traffic, and the multi-hop architecture. The resulting WCRTA, while safe, shows a significant improvement in terms of pessimism level compared to the existing analysis approaches based on the busy period and the Network Calculus model.