Defensa y seguridad

RTSKG: Building a Rail Transit Station Knowledge Graph Dataset

- Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems, rail transit stations function as critical transport hubs that enhance urban...

LLM Ensemble Fault Classification for Automotive HiL Validation

- Automotive HiL validation generates large multivariate test recordings whose analysis remains challenging due to manual review effort, rule-based limitations, and the need for explainable diagnostic...

World-First SEM-based Recovery of Crash EDR Data from the EEPROM of a Severely Damaged SRS Module Using CrashScan

- This paper introduces fully working and affordable approach to data recovery from automotive SRS (airbag control) module after permanent failure of its data storage memory chip. All essential...

Unsupervised Point Cloud Registration with Self-Distillation

- Rigid point cloud registration is a fundamental problem and highly relevant in robotics and autonomous driving. Nowadays deep learning methods can be trained to match a pair of point clouds, given...

Representative Dataset Generation Framework for AI-based Failure Analysis during real-time Validation of Automotive Software Systems

- Recently, thanks to its ability to extract knowledge from historical datasets, the data-driven approach has been widely used in various phases of the system development life cycle. During real-time...

Second order unfitted ghost-FEM for elliptic interface problems with applications to low-dimensional semiconductor devices

- We develop an unfitted ghost finite element method for elliptic interface problems with discontinuous diffusion coefficients and apply it to the electrostatic simulation of low-dimensional...

White paper: A perspective on civilian-to-defence research transfer to SDD

- Military capability is increasingly determined by software. Yet defence platforms are procured on decade-long timescales, while the software and AI models they carry must evolve in days or hours....

ML-Based Hierarchical Prediction for Practical Energy Scheduling in Dynamic NTN-WPT Systems

- With advancements in long-distance wireless power transfer (WPT) and space-based energy technologies, integrating WPT into non-terrestrial networks (NTNs), referred to as NTN-WPT, is emerging as a...

Anchor-Based AI Approach for Pre-Crash Object Detection Utilizing Micro-Doppler Signatures in Automotive Radar

- Advanced automated driving presents significant potential to improve modern automotive safety systems, but it depends highly on the reliable activation of restraint systems. Forward-looking sensors...

Physics-Informed Condition Monitoring of SiC Power Modules

- Silicon carbide (SiC) power modules are increasingly deployed in automotive traction inverters, where condition monitoring is essential to prevent in-service failures. Despite extensive qualification...

Exploring LLM Capabilities for Situational Understanding and COLREG compliance on real-world maritime navigation scenarios

- Recently, Large Language Models (LLMs) have shown considerable capability for situational understanding, reasoning, and decision making in different domains, most notable in the automotive sector....

Hierarchical Multi-Task Federated Learning in VANETs

- Vehicular Ad hoc Networks (VANETs) increasingly rely on federated learning (FL) to enable collaborative intelligence without sharing raw sensory data. However, most existing vehicular FL frameworks...

Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning

- As modern cities face increasingly severe traffic congestion, connected and autonomous vehicles (CAVs) have emerged as a crucial enabling technology for next-generation intelligent traffic...

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering

- While Large Language Models (LLMs) can accelerate Model-Based Systems Engineering (MBSE) for software-defined vehicles, their probabilistic nature causes "architectural drift", fabricating...

Zero-Trust Federated Learning for Connected Aftermarket Devices

- Connected aftermarket devices extend vehicle diagnostics, repair workflows, and over-the-air software maintenance beyond original equipment manufacturer boundaries, yet their heterogeneous ownership...

An IMU Dataset for Human Activity Recognition to Support Independent Living in Smart Homes (IMU-HAR-IL)

- This document introduces HAR-IMU-IL, a dataset developed for human activity recognition (HAR) using inertial measurement unit (IMU) sensors within a smart home environment with a focus to support...

"Operator, can you hear me?" A Faithful Line into the UNISOC Baseband

- Baseband processors are reachable over the radio at all times. Their most security-relevant logic runs deep inside protocol state machines: the control-plane handlers that gate registration,...

CyberLLM: A Multi-Agent LLM Framework for Autonomous Detection and Guarded Response in Automotive Cybersecurity

- Software-Defined Vehicles (SDVs) expand the automotive attack surface across source code, runtime logs, and deployment topologies, while safety constraints forbid autonomous agents from acting...

Decentralized No-Regret Frequency-Time Scheduling for FMCW Radar Interference Avoidance

- Automotive FMCW radars are indispensable to modern ADAS and autonomous-driving systems, but their increasing density has intensified the risk of mutual interference. Existing mitigation techniques,...

Sensor-Level Fault Diagnosis for Automotive Software Validation Using Large Language Models

- The pre-series validation of automotive software on hardware-in-the-loop (HIL) platforms produces large volumes of multivariate sensor recordings whose assessment against functional safety...

CourseGraph: Finding overlaps and differences in Computer Science courses across universities

- Student mobility programs such as Erasmus+ enable students to take courses at other universities, broadening their academic and cultural horizons. However, this flexibility also leads to a practical...