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๐Ÿ” sorin lerner ๐Ÿ“‚ Engineering
Showing 1609 results for "sorin lerner" in Engineering
Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh ยท 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS Noโ€ฆ

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Engineering Preprint PDF DOI

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis

Antoine P. Leeman, Shuyu Zhan, Melanie N. Zeilinger, Glen Chou ยท 2026

We propose VISION-SLS, a method for nonlinear output-feedback control from high-resolution RGB images which provides robust constraint satisfaction guarantees under calibrated uncertainty bounds despiโ€ฆ

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Engineering Preprint PDF DOI

Real-time windrow detection from onboard tractor sensors for automated following

Lorenz Gunreben, Nico Heider, Sebastian Zurner, Martin Schieck, Bogdan Franczyk ยท 2026

Proprietary design in commercial windrow-detection systems restricts transparency and limits progress in open autonomous forage-harvesting research. We present a multi-modal dataset combining stereo vโ€ฆ

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Engineering Preprint PDF DOI

Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions

Yangping Li, Thomas Pinetz, Michael Holzel, Marieta Toma, Alexander Effland ยท 2026

In pathology, the spatial distribution and proportions of tissue types are key indicators of disease progression, and are more readily available than fine-grained annotations. However, these assessmenโ€ฆ

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Engineering Preprint PDF DOI

Shared-kernel Wavelet Neural Networks for Poisson Image Reconstruction

Yuanhao Gong, Tan Tang, Qianyan Liu ยท 2026

The Laplacian operator transforms the image into its Laplacian field, which usually is sparse and satisfies a stable distribution. On the other hand, an image can be uniquely reconstructed from its Laโ€ฆ

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Engineering Preprint PDF DOI

FastICA with Learned Scores from the Empirical Characteristic Function

David Watts, Jonathan H. Manton ยท 2026

Independent component analysis (ICA) estimates a demixing matrix that can recover statistically independent sources from linear mixtures. FastICA is a popular ICA algorithm due to its efficiency, but โ€ฆ

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Engineering Preprint PDF DOI

Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots

Yulai Zhang, Yinrong Zhang, Ting Wu, Linqi Ye ยท 2026

Developing bipedal football robots in dynamiccombat environments presents challenges related to motionstability and deep coupling of multiple tasks, as well ascontrol switching issues between differenโ€ฆ

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Engineering Preprint PDF DOI

DUSG-Tomo-Net: A Deep Unfolded Neural Network for Super-Resolving Gridless Spaceborne SAR Tomography via Learned Toeplitz-Structured Covariance Representation

Kun Qian, Zhuge Xia, Qian Ma, Qi Zhang, Weijian Liu, Xiufeng He ยท 2026

Synthetic aperture radar tomography (TomoSAR) enables 3-D imaging by exploiting multibaseline acquisitions and has become an important tool for urban mapping. To achieve super-resolution inversion, spโ€ฆ

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Engineering Preprint PDF DOI

An Implicit Compact-Kernel Material Point Method for Computational Solid Mechanics

Qirui Fu, Yupeng Jiang, Minchen Li ยท 2026

The numerical performance of the material point method (MPM) is strongly governed by the particle-grid kernel, which controls the trade-off among smoothness, locality, numerical diffusion, contact accโ€ฆ

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Engineering Preprint PDF DOI

HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincar\'e Maps, and Regions of Attraction

Blake Werner, Sergio A. Esteban, Massimiliano De Sa, Max H. Cohen, Aaron D. Ames ยท 2026

Reduced-order models are powerful for analyzing and controlling high-dimensional dynamical systems. Yet constructing these models for complex hybrid systems such as legged robots remains challenging. โ€ฆ

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Engineering Preprint PDF DOI

Safe Control using Learned Safety Filters and Adaptive Conformal Inference

Sacha Huriot, Ihab Tabbara, Hussein Sibai ยท 2026

Safety filters have been shown to be effective tools to ensure the safety of control systems with unsafe nominal policies. To address scalability challenges in traditional synthesis methods, learning-โ€ฆ

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Engineering Preprint PDF DOI

Leader-Follower Formation Control Using Differential Drag and Effective Surface Regulation

Alessio Bocci, Jose Juan Corona-Sanchez, Raymond Kristiansen ยท 2026

The growing interest in space activities has led to the emergence of new space operators and innovative mission concepts. Small satellites such as CubeSats reduce mission costs and are typically deploโ€ฆ

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Engineering Preprint PDF DOI

Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising

Marco Sanchez-Beeckman, Antoni Buades (IAC3 & Departament de Ciencies Matematiques i Informatica, Universitat de les Illes Balears) ยท 2026

Being one of the oldest and most basic problems in image processing, image denoising has seen a resurgence spurred by rapid advances in deep learning. Yet, most modern denoising architectures make limโ€ฆ

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Engineering Preprint PDF DOI

Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer

Anis Hamadouche, Mathini Sellathurai ยท 2026

This paper investigates communication-efficient neural network transmission by exploiting structured symmetry constraints in convolutional kernels. Instead of transmitting all model parameters, we proโ€ฆ

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Engineering Preprint PDF DOI

E2E-WAVE: End-to-End Learned Waveform Generation for Underwater Video Multicasting

Khizar Anjum, Tingcong Jiang, Dario Pompili ยท 2026

We present E2E-WAVE, the first end-to-end learned waveform generation system for underwater video multicasting. Acoustic channels exhibit 20--46% bit error rates where forward error correction becomesโ€ฆ

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Engineering Preprint PDF DOI

Mosaic: An Extensible Framework for Composing Rule-Based and Learned Motion Planners

Nick Le Large, Marlon Steiner, Lingguang Wang, Willi Poh, Jan-Hendrik Pauls, Omer Sahin Tas, Christoph Stiller ยท 2026

Safe and explainable motion planning remains a central challenge in autonomous driving. While rule-based planners offer predictable and explainable behavior, they often fail to grasp the complexity anโ€ฆ

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Engineering Preprint PDF DOI

Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling

Joel Laudo, Adrian Buganza Tepole ยท 2026

Reduced-order models (ROMs) are essential for rapid simulation of complex biomechanical systems and for bridging the gap between high fidelity models and clinical application. However, ROMs for tissueโ€ฆ

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Engineering Preprint PDF DOI

Cross-Platform Domain Adaptation for Multi-Modal MOOC Learner Satisfaction Prediction

Jakub Kowalski, Magdalena Piotrowska ยท 2026

Learner satisfaction prediction from MOOC reviews and behavioral logs is valuable for course quality improvement and platform operations. In practice, models trained on one platform degrade significanโ€ฆ

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Engineering Preprint PDF DOI

Early-Warning Learner Satisfaction Forecasting in MOOCs via Temporal Event Transformers and LLM Text Embeddings

Anna Kowalczyk, Jakub Kowalski ยท 2026

Learner satisfaction is a critical quality signal in massive open online courses (MOOCs), directly influencing retention, engagement, and platform reputation. Most existing methods infer satisfaction โ€ฆ

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Engineering Preprint PDF DOI

Applied AI-Enhanced RF Interference Rejection

Rahul Jain, Pierre Trepagnier, Rick Gentile, Joey Botero, Alexia Schulz ยท 2026

AI-enhanced interference rejection in radio frequency (RF) transmissions has recently attracted interest because deep learning approaches trained on both the signal of interest (SOI) and the signal miโ€ฆ

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