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Showing 3277 results for "software" in Engineering
Engineering Preprint PDF DOI

Online Performance Assessment of Multi-Source-Localization for Autonomous Driving Systems Using Subjective Logic

Stefan Orf, Sven Ochs, Marc Rene Zofka, J. Marius Zollner ยท 2025

Autonomous driving (AD) relies heavily on high precision localization as a crucial part of all driving related software components. The precise positioning is necessary for the utilization of high-defโ€ฆ

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Engineering Preprint PDF DOI

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks

Stefan Orf, Sven Ochs, Valentin Marotta, Oliver Conder, Marc Rene Zofka, J. Marius Zollner ยท 2025

In complex autonomous driving (AD) software systems, the functioning of each system part is crucial for safe operation. By measuring the current functionality or operability of individual components aโ€ฆ

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Engineering Preprint PDF DOI

Sight Guide: A Wearable Assistive Perception and Navigation System for the Vision Assistance Race in the Cybathlon 2024

Patrick Pfreundschuh, Giovanni Cioffi, Cornelius von Einem, Alexander Wyss, Hans Wernher van de Venn, Cesar Cadena, Davide Scaramuzza, Roland Siegwart, Alireza Darvishy ยท 2025

Visually impaired individuals face significant challenges navigating and interacting with unknown situations, particularly in tasks requiring spatial awareness and semantic scene understanding. To accโ€ฆ

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Engineering Preprint PDF DOI

petBrain: A New Pipeline for Amyloid, Tau Tangles and Neurodegeneration Quantification Using PET and MRI

Pierrick Coupe, Boris Mansencal, Floreal Morandat, Sergio Morell-Ortega, Nicolas Villain, Jose V. Manjon, Vincent Planche ยท 2025

INTRODUCTION: Quantification of amyloid plaques (A), neurofibrillary tangles (T2), and neurodegeneration (N) using PET and MRI is critical for Alzheimer's disease (AD) diagnosis and prognosis. Existinโ€ฆ

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Engineering Preprint PDF DOI

Hybrid SIS Dynamics for Demand Modeling of Frequently Updated Products

Ian Walter, Jitesh H. Panchal, Philip E. Pare ยท 2025

We propose a hybrid spreading process model to capture the dynamics of demand for software-based products. We introduce discontinuous jumps in the state to model sudden surges in demand that can be seโ€ฆ

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Engineering Preprint PDF DOI

Development of Hardware-in-Loop Framework for Satellite Communication Self-Healing Networks

Sambrama, Venkata Srirama Rohit Kantheti, Liang C Chu, Erik Blasch, Shih-Chun Lin ยท 2025

The use of Low Earth Orbit (LEO) satellites in the next generation (Next-G) communication systems has been gaining traction over the last few years due to their potential for providing global connectiโ€ฆ

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Engineering Preprint PDF DOI

iRonCub 3: The Jet-Powered Flying Humanoid Robot

Davide Gorbani, Hosameldin Awadalla Omer Mohamed, Giuseppe L'Erario, Gabriele Nava, Punith Reddy Vanteddu, Shabarish Purushothaman Pillai, Antonello Paolino, Fabio Bergonti, Saverio Taliani, Alessandro Croci, Nicholas James Tremaroli, Silvio Traversaro, Bruno Vittorio Trombetta, Daniele Pucci ยท 2025

This article presents iRonCub 3, a jet-powered humanoid robot, and its first flight experiments. Unlike traditional aerial vehicles, iRonCub 3 aims to achieve flight using a full-body humanoid form, wโ€ฆ

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Engineering Preprint PDF DOI

ChemReservoir -- An Open-Source Framework for Chemically-Inspired Reservoir Computing

Mehmet Aziz Yirik, Jakob Lykke Andersen, Rolf Fagerberg, Daniel Merkle ยท 2025

Reservoir computing is a type of a recurrent neural network, mapping the inputs into higher dimensional space using fixed and nonlinear dynamical systems, called reservoirs. In the literature, there aโ€ฆ

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AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software

Satoshi Tanaka, Samrat Thapa, Kok Seang Tan, Amadeusz Szymko, Lobos Kenzo, Koji Minoda, Shintaro Tomie, Kotaro Uetake, Guolong Zhang, Isamu Yamashita, Takamasa Horibe ยท 2025

In recent years, machine learning technologies have played an important role in robotics, particularly in the development of autonomous robots and self-driving vehicles. As the industry matures, robotโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Sounding in ISAC networks: Design and Implementation of a Multi-Node Testbed with Synchronized Airborne and Ground-Based Sensors

Julia Beuster, Carsten Andrich, Sebastian Giehl, Marc Miranda, Lorenz Mohr, Dieter Novotny, Tom Kaufmann, Christian Schneider, Reiner S. Thoma ยท 2025

As integrated sensing and communication (ISAC) capabilities become more prevalent in the mobile 6G radio landscape, there is a substantial opportunity to enhance situational awareness across diverse aโ€ฆ

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Engineering Preprint PDF DOI

Detecting Airborne Objects with 5G NR Radars

Steve Blandino, Nada Golmie, Anirudha Sahoo, Thao Nguyen, Tanguy Ropitault, David Griffith, Amala Sonny ยท 2025

The integration of sensing capabilities into 5G New Radio (5G NR) networks offers an opportunity to enable the detection of airborne objects without the need for dedicated radars. This paper investigaโ€ฆ

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Efficient Bayesian multi-fidelity inverse analysis for expensive and non-differentiable physics-based simulations in high stochastic dimensions

Jonas Nitzler, Bugrahan Z. Temur, Phaedon-Stelios Koutsourelakis, Wolfgang A. Wall ยท 2025

High-dimensional Bayesian inverse analysis (dim >> 100) is mostly unfeasible for computationally demanding, nonlinear physics-based high-fidelity (HF) models. Usually, the use of more efficient gradieโ€ฆ

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Engineering Preprint PDF DOI

Fault-Tolerant IoT System Using Software-Based "Digital Twin"

Tanish Baranwal, Srihari Varada, Santanu Das, Mohammad R. Haider ยท 2025

In this article, we present a novel redundancy scheme to realize a fault-tolerant IoT structure for application in high-reliability systems. The proposed fault-tolerant structure uses a centralized daโ€ฆ

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Engineering Preprint PDF DOI

Low-Complexity Transform Adjustments For Video Coding

Amir Said, Hilmi E. Egilmez, Yung-Hsuan Chao ยท 2025

Recent video codecs with multiple separable transforms can achieve significant coding gains using asymmetric trigonometric transforms (DCTs and DSTs), because they can exploit diverse statistics of reโ€ฆ

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Long Duration Inspection of GNSS-Denied Environments with a Tethered UAV-UGV Marsupial System

Simon Martinez-Rozas, David Alejo, Jose Javier Carpio, Fernando Caballero, Luis Merino ยท 2025

Unmanned Aerial Vehicles (UAVs) have become essential tools in inspection and emergency response operations due to their high maneuverability and ability to access hard-to-reach areas. However, their โ€ฆ

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Engineering Preprint PDF DOI

DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation

Mengda Xu, Han Zhang, Yifan Hou, Zhenjia Xu, Linxi Fan, Manuela Veloso, Shuran Song ยท 2025

We present DexUMI - a data collection and policy learning framework that uses the human hand as the natural interface to transfer dexterous manipulation skills to various robot hands. DexUMI includes โ€ฆ

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Engineering Preprint PDF DOI

MIND-Stack: Modular, Interpretable, End-to-End Differentiability for Autonomous Navigation

Felix Jahncke, Johannes Betz ยท 2025

Developing robust, efficient navigation algorithms is challenging. Rule-based methods offer interpretability and modularity but struggle with learning from large datasets, while end-to-end neural netwโ€ฆ

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OpenNIRScap: An Open-Source, Low-Cost Wearable Near-Infrared Spectroscopy-based Brain Interfacing Cap

Tony Kim, Haotian Liu, Chiung-Ting Huang, Ingrid Wu, Xilin Liu ยท 2025

Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive, real-time method for monitoring brain activity by measuring hemodynamic responses in the cerebral cortex. However, existing systems areโ€ฆ

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Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space

Jinrong Yang, Kexun Chen, Zhuoling Li, Shengkai Wu, Yong Zhao, Liangliang Ren, Wenqiu Luo, Chaohui Shang, Meiyu Zhi, Linfeng Gao, Mingshan Sun, Hui Cheng ยท 2025

Imitation learning (IL) with human demonstrations is a promising method for robotic manipulation tasks. While minimal demonstrations enable robotic action execution, achieving high success rates and gโ€ฆ

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Engineering Preprint PDF DOI

MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design

Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso, Lorenzo Ruotolo, Pietro Furbatto, Matteo Isoldi, Yukai Chen, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Sara Vinco ยท 2025

Virtual Platforms (VPs) enable early software validation of autonomous systems' electronics, reducing costs and time-to-market. While many VPs support both functional and non-functional simulation (e.โ€ฆ

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