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🔍 paul stampfer 📂 Engineering
Showing 319 results for "paul stampfer" in Engineering
Engineering Preprint PDF DOI

Descriptor: A Hybrid Indoor and Indoor-Outdoor Positioning Multi-Technology Dataset (HYMN)

Muhammad Ammad, Albrecht Michler, Paul Schwarzbach, Jonas Ninnemann, Hagen U{ss}ler, Oliver Michler · 2026

This article introduces the HYMN (HYbrid Multi-technology Navigation) dataset: a multi-system, and time synchronized dataset for localization research based on opportunistic signals collected in an in…

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Engineering Preprint PDF DOI

An Open-Source Hardware-Aware Sub-THz Radio-Stripe Simulator

Tijl Schepens, Thomas Feys, Thomas Eriksson, Gilles Callebaut · 2026

Sub-Terahertz radio-stripe and distributed MIMO architectures promise extreme spatial reuse and multi-GHz bandwidths, but the cascaded fiber front-haul and RF hardware impairments strongly shape end-t…

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Engineering Preprint PDF DOI

Scale-Invariant Sampling in Multi-Arm Bandit Motion Planning for Object Extraction

Servet B. Bayraktar, Andreas Orthey, Marc Toussaint · 2026

Object extraction tasks often occur in disassembly problems, where bolts, screws, or pins have to be removed from tight, narrow spaces. In such problems, the distance to the environment is often on th…

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Engineering Preprint PDF DOI

Efficient Uniform Feasible Set Sampling for Approximate Linear MPC

Elias Milios, Felix Berkel, Felix Gruber, Melanie N. Zeilinger, Kim P. Wabersich · 2026

Model Predictive Control (MPC) offers safe and near-optimal control but suffers from high computational costs. Approximate MPC (AMPC) mitigates this by learning a cheaper surrogate policy, typically b…

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Engineering Preprint PDF DOI

A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking

Robin Dehler, Martin Herrmann, Jan Strohbeck, Michael Buchholz · 2026

Associating measurements with tracks is a crucial step in Multi-Object Tracking (MOT) to guarantee the safety of autonomous vehicles. To manage the exponentially growing number of track hypotheses, tr…

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Engineering Preprint PDF DOI

A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models

Aricia Rinkens, Rodrigo L. S. Silva, Erik Quaeghebeur, Nick Jaensson, Clemens Verhoosel · 2026

Employing Bayesian inference to calibrate constitutive model parameters has grown substantially in recent years. Among the available techniques, Markov Chain Monte Carlo (MCMC) sampling remains one of…

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Engineering Preprint PDF DOI

VAMPO: Policy Optimization for Improving Visual Dynamics in Video Action Models

Zirui Ge, Pengxiang Ding, Baohua Yin, Qishen Wang, Zhiyong Xie, Yemin Wang, Jinbo Wang, Hengtao Li, Runze Suo, Wenxuan Song, Han Zhao, Shangke Lyu, Zhaoxin Fan, Haoang Li, Ran Cheng, Cheng Chi, Huibin Ge, Yaozhi Luo, Donglin Wang · 2026

Video action models are an appealing foundation for Vision--Language--Action systems because they can learn visual dynamics from large-scale video data and transfer this knowledge to downstream robot …

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Engineering Preprint PDF DOI

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving

Zhexi Lian, Haoran Wang, Xuerun Yan, Weimeng Lin, Xianhong Zhang, Yongyu Chen, Jia Hu · 2026

End-to-end autonomous driving is typically built upon imitation learning (IL), yet its performance is constrained by the quality of human demonstrations. To overcome this limitation, recent methods in…

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Engineering Preprint PDF DOI

Bayesian Uncertainty-Aware MRI Reconstruction

Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander · 2026

We propose a novel framework for joint magnetic resonance image reconstruction and uncertainty quantification using under-sampled k-space measurements. The problem is formulated as a Bayesian linear i…

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Engineering Preprint PDF DOI

G-STAR: End-to-End Global Speaker-Tracking Attributed Recognition

Jing Peng, Ziyi Chen, Haoyu Li, Yucheng Wang, Duo Ma, Mengtian Li, Yunfan Du, Dezhu Xu, Kai Yu, Shuai Wang · 2026

We study timestamped speaker-attributed ASR for long-form, multi-party speech with overlap, where chunk-wise inference must preserve meeting-level speaker identity consistency while producing time-sta…

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Engineering Preprint PDF DOI

High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles

Zhaohui Liang, Hang Zhou, Heye Huanh, Xiaopeng Li · 2026

Accurate estimation of the tire-road friction coefficient (TRFC) is critical for ensuring safe vehicle control, especially under adverse road conditions. However, most existing methods rely on natural…

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Engineering Preprint PDF DOI

GAIDE: Graph-based Attention Masking for Spatial- and Embodiment-aware Motion Planning

Davood Soleymanzadeh, Xiao Liang, Minghui Zheng · 2026

Sampling-based motion planning algorithms are widely used for motion planning of robotic manipulators, but they often struggle with sample inefficiency in high-dimensional configuration spaces due to …

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Engineering Preprint PDF DOI

MDM-ASR: Bridging Accuracy and Efficiency in ASR with Diffusion-Based Non-Autoregressive Decoding

Hao Yen, Pin-Jui Ku, Ante Jukic, Sabato Marco Siniscalchi · 2026

In sequence-to-sequence Transformer ASR, autoregressive (AR) models achieve strong accuracy but suffer from slow decoding, while non-autoregressive (NAR) models enable parallel decoding at the cost of…

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Engineering Preprint PDF DOI

Digging for Data: Experiments in Rock Pile Characterization Using Only Proprioceptive Sensing in Excavation

Unal Artan, Martin Magnusson, Joshua A. Marshall · 2026

Characterization of fragmented rock piles is a fundamental task in the mining and quarrying industries, where rock is fragmented by blasting, transported using wheel loaders, and then sent for further…

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Engineering Preprint PDF DOI

Bayesian Signal Component Decomposition via Diffusion-within-Gibbs Sampling

Yi Zhang, Rui Guo, Yonina C. Eldar · 2026

In signal processing, the data collected from sensing devices is often a noisy linear superposition of multiple components, and the estimation of components of interest constitutes a crucial pre-proce…

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Engineering Preprint PDF DOI

Phase-Aware Policy Learning for Skateboard Riding of Quadruped Robots via Feature-wise Linear Modulation

Minsung Yoon, Jeil Jeong, Sung-Eui Yoon · 2026

Skateboards offer a compact and efficient means of transportation as a type of personal mobility device. However, controlling them with legged robots poses several challenges for policy learning due t…

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Engineering Preprint PDF DOI

Constrained Sampling to Guide Universal Manipulation RL

Marc Toussaint, Cornelius V. Braun, Eckart Cobo-Briesewitz, Sayantan Auddy, Armand Jordana, Justin Carpentier · 2026

We consider how model-based solvers can be leveraged to guide training of a universal policy to control from any feasible start state to any feasible goal in a contact-rich manipulation setting. While…

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Engineering Preprint PDF DOI

Exploring Polarimetric Properties Preservation during Reconstruction of PolSAR images using Complex-valued Convolutional Neural Networks

Quentin Gabot, Joana Frontera-Pons, Jeremy Fix, Chengfang Ren, Jean-Philippe Ovarlez · 2026

The inherently complex-valued nature of Polarimetric SAR data necessitates using specialized algorithms capable of directly processing complex-valued representations. However, this aspect remains unde…

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Engineering Preprint PDF DOI

SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling

Yochai Yemini, Yoav Ellinson, Rami Ben-Ari, Sharon Gannot, Ethan Fetaya · 2026

This paper addresses the challenge of audio-visual single-microphone speech separation and enhancement in the presence of real-world environmental noise. Our approach is based on generative inverse sa…

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Engineering Preprint PDF DOI

Bayesian Matrix Completion Under Geometric Constraints

Rohit Varma Chiluvuri, Santosh Nannuru · 2026

The completion of a Euclidean distance matrix (EDM) from sparse and noisy observations is a fundamental challenge in signal processing, with applications in sensor network localization, acoustic room …

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