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Showing 32 results for "karsten kreis" in Engineering
Engineering Preprint PDF DOI

CAVERS: Multimodal SLAM Data from a Natural Karstic Cave with Ground Truth Motion Capture

Giacomo Franchini, David Rodriguez-Martinez, Alfonso Martinez-Petersen, C. J. Perez-del-Pulgar, Marcello Chiaberge · 2026

Autonomous robots operating in natural karstic caves face perception and navigation challenges that are qualitatively distinct from those encountered in mines or tunnels: irregular geometry, reflectiv…

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Engineering Preprint PDF DOI

From Consensus to Robust Clustering: Multi-Agent Systems with Nonlinear Interactions

Anthony Couthures, Gustave Bainier, Vineeth Satheeskumar Varma, Samson Lasaulce, Irinel-Constantin Morarescu · 2025

This paper establishes a theoretical framework to describe the transition from consensus to stable clustering in multi-agent systems with nonlinear, cooperative interactions. We first establish a shar…

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Engineering Preprint PDF DOI

Ein Fenster zur gleichzeitigen Messung der Uebertragungsfunktion eines realen Systems und des Leistungsdichtespektrums des ueberlagerten Rauschens am Systemausgang (Teil 2)

Helmut Repp · 2025

The method described in the first part for frequency-selectively measuring the transfer function and the noise power spectral density of the superimposed noise at the output of a disturbed, real syste…

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Engineering Preprint PDF DOI

Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction

Yipeng Sun, Linda-Sophie Schneider, Chengze Ye, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas Maier · 2025

Cone-Beam Computed Tomography (CBCT) is essential in medical imaging, and the Feldkamp-Davis-Kress (FDK) algorithm is a popular choice for reconstruction due to its efficiency. However, FDK is suscept…

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Engineering Preprint PDF DOI

PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-rich Manipulation Using Tactile-Diffusion Policies

Jialiang Zhao, Naveen Kuppuswamy, Siyuan Feng, Benjamin Burchfiel, Edward Adelson · 2025

Achieving robust dexterous manipulation in unstructured domestic environments remains a significant challenge in robotics. Even with state-of-the-art robot learning methods, haptic-oblivious control s…

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Engineering Preprint PDF DOI

Split-quaternions for perceptual white balance

Michel Berthier, Nicoletta Prencipe, Edoardo Provenzi · 2025

We propose a perceptual chromatic adaptation transform for white balance that makes use of split-quaternions. The novelty of the present work, which is motivated by a recently developed quantum-like m…

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Engineering Preprint PDF DOI

$\rho$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction

Li Zhou, Changsheng Fang, Bahareh Morovati, Yongtong Liu, Shuo Han, Yongshun Xu, Hengyong Yu · 2024

This paper introduces $\rho$-NeRF, a self-supervised approach that sets a new standard in novel view synthesis (NVS) and computed tomography (CT) reconstruction by modeling a continuous volumetric rad…

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Engineering Preprint PDF DOI

Federated Transfer Learning Aided Interference Classification in GNSS Signals

Min Jiang, Ziqiang Ye, Yue Xiao, Xiaogang Gou · 2024

This study delves into the classification of interference signals to global navigation satellite systems (GNSS) stemming from mobile jammers such as unmanned aerial vehicles (UAVs) across diverse wire…

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Engineering Preprint PDF DOI

A Bayesian Drift-Diffusion Model of Schachter-Singer's Two Factor Theory of Emotion

Lance Ying, Audrey Michal, Jun Zhang · 2024

Bayesian inference has been used in the past to model visual perception (Kersten, Mamassian, & Yuille, 2004), accounting for the Helmholtz principle of perception as "unconscious inference" that is co…

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Engineering Preprint PDF DOI

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation

Hanlin Tian, Kethan Reddy, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis · 2024

This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios, focusing on critical …

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Engineering Preprint PDF DOI

Minimizing Sensor Allocation Cost for Crowdsensing On-street Parking Availability

Boyu Pang, Ruizhi Liao, Yinyu Ye · 2023

In recent years, innovative roadside parking vacancy crowdsensing solutions have emerged as a cost-effective alternative to traditional methods, which can significantly reduce sensor installation and …

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Engineering Preprint PDF DOI

Brain Tumor Segmentation from MRI Images using Deep Learning Techniques

Ayan Gupta, Mayank Dixit, Vipul Kumar Mishra, Attulya Singh, Atul Dayal · 2023

A brain tumor, whether benign or malignant, can potentially be life threatening and requires painstaking efforts in order to identify the type, origin and location, let alone cure one. Manual segmenta…

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Engineering Preprint PDF DOI

Non-Linear Estimation using the Weighted Average Consensus-Based Unscented Filtering for Various Vehicles Dynamics towards Autonomous Sensorless Design

Bambang L. Widjiantoro, Moh Kamalul Wafi, Katherin Indriawati · 2023

The concerns to autonomous vehicles have been becoming more intriguing in coping with the more environmentally dynamics non-linear systems under some constraints and disturbances. These vehicles conne…

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Engineering Preprint PDF DOI

Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning

Abhisesh Silwal, Francisco Yandun, Anjana Nellithimaru, Terry Bates, George Kantor · 2021

Dormant season grapevine pruning requires skilled seasonal workers during the winter season which are becoming less available. As workers hasten to prune more vines in less time amid to the short-term…

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Engineering Preprint PDF DOI

Data Driven Prediction of Battery Cycle Life Before Capacity Degradation

Anmol Singh, Caitlin Feltner, Jamie Peck, Kurt I. Kuhn · 2021

Ubiquitous use of lithium-ion batteries across multiple industries presents an opportunity to explore cost saving initiatives as the price to performance ratio continually decreases in a competitive e…

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Engineering Preprint PDF DOI

Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks

Marouan Mizmizi, Francesco Linsalata, Mattia Brambilla, Filippo Morandi, Kai Dong, Maurizio Magarini, Monica Nicoli, Majid Nasiri Khormuji, Peng Wang, Renaud Alexandre Pitaval, Umberto Spagnolini · 2021

The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks. A radical transformation…

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Engineering Preprint PDF DOI

Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles

Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Philip Bingham, Grant Helmreich · 2021

Tri-Structural Isotropic (TRISO) fuel particles are a key component of next generation nuclear fuels. Using X-ray computed tomography (CT) to characterize TRISO particles is challenging because of the…

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Engineering Preprint PDF DOI

An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation

Kaushik Balakrishnan, Punarjay Chakravarty, Shubham Shrivastava · 2021

Training robots to navigate diverse environments is a challenging problem as it involves the confluence of several different perception tasks such as mapping and localization, followed by optimal path…

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Engineering Preprint PDF DOI

A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks

Marinus J. Lagerwerf, Daniel M Pelt, Willem Jan Palenstijn, K Joost Batenburg · 2020

Circular cone-beam (CCB) Computed Tomography (CT) has become an integral part of industrial quality control, materials science and medical imaging. The need to acquire and process each scan in a short…

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Engineering Preprint PDF DOI

Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China

Shu Cheng, Xiaojuan Qiao, Yaolin Shi, Dawei Wang · 2020

The quantitative analyses of karst spring discharge typically rely on physical-based models, which are inherently uncertain. To improve the understanding of the mechanism of spring discharge fluctuati…

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