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Guided Gaussians : Enhancing 3D Occupancy Estimation with Sparse Sensor Priors

We introduce a new initialization method for 3D Gaussians used in 3D occupancy estimation, a key task in autonomous driving that involves identifying semantic elements in a vehicle's surroundings and accurately locating them in space. Our approach leverages distance sensor data, such as from lidar or radar, to place 3D Gaussians using farthest point sampling, ensuring coverage of meaningful scene

Intensity Interferometry prospects with the CTAO

A resolved optical image of a gamma-ray emitter would be of enormous scientific interest. For gamma-ray sources associated with interacting stars (colliding winds or novae), stellar intensity interferometry (SII), envisioned as a second observing mode at the Cherenkov Telescope Array Observatory (CTAO), could yield images of the systems in visible light. Recent radius measurements of massive stars

Multiscale approximate eigenvectors for multivariate self-similarity estimation

Many real-world systems generate multivariate time series data, often exhibiting self-similarity and scale-invariance across different modalities. The estimation of Hurst exponents in such settings is crucial for analyzing long-range dependencies. Yet, traditional eigenanalysis-based methods suffer from scale-dependent distortions, particularly in the presence of scaling amplitude discrepancies. I

The Disinformation Economy: Digital Markets of Influence, Conflict, and Polarization

The online information landscape is a site for contested ideas, but it is also a marketplace; under the platform economy, every engagement has monetary value. This setup encourages content creators to circulate the kinds of material most likely to capture attention, even if it is incendiary. Central to this business model are the algorithmic recommendation systems, which are designed to monetize a

Quality Assurance with Visual Inspection in Sheet Metal Forming Process for Automotive Industry

The sheet metal forming process is integral to the automotive industry, producing a variety of components essential for vehicle construction, including body panels, chassis parts, and structural supports. The process involves shaping thin metal sheets into desired forms using techniques such as bending, stretching, drawing, and stamping. In order to build high quality cars it is vital with an effi

Terahertz Magnetic-Resonance Mueller Matrix Ellipsometry

We report a radical extension of magnetic-resonance spectroscopy to the Terahertz (THz) spectral range by complete polarization-resolved measurement of the linear electromagnetic response of nuclear and electron spin associated magnetic resonance using principles of ellipsometry at high magnetic fields. This new method permits us to accurately test existing models and leads to discovery of new phy

AoA and AoI in Modern Industrial Control

Conventional Quality of Service(QoS) measurements are incapable to meet the demand for analysing communication performance on timeliness of information in Industrial Control Networks with many connected subsystems. The Age of Information (AoI) and the Age of Actuation (AoA) give a promise to be a solution. Many recent research articles cover theoretical aspects and analyse performance characterist

Value of Information for the Innovation of Vibration-Based Monitoring Systems for Multiple Applications

The Value of Information from Bayesian decision theory can be used to drive decisions within the development of new technologies aiding research screening, technology characteristics, and employment optimization. The selection of a specific application of technology leads to the definition of the decision scenario within the Value of Information framework. Technological performance characteristics

3D Topological Insulator-Based Eutectic Heterostructures : Fabrication and Potential Applications

We report the fabrication of three-dimensional topological insulator heterostructures using a single-step bottom-up approach based on directional solidification. These materials exhibit atomically smooth interfaces, preserving topological surface states and enabling hetero-junction formation. This scalable approach paves the way for advancements in spintronics, quantum computing, and novel optoele

A robust Bayesian model to quantify and adjust for study quality and conflict of interest in meta-analyses

Meta-analyses are vital for synthesizing evidence in medical research, but conflicts of interest can introduce research bias, undermining the reliability of the synthesized findings. This paper proposes a new robust Bayesian meta-analysis model. The model inflates uncertainty of low-quality studies and incorporates a bias term for studies subject to conflicts of interest. Using a random-effects mo

Exploring promptable foundation models for high-resolution video eye tracking in the lab

We explore whether SAM2, a vision foundation model, can be used for accurate localization of eye image features that are used in lab-based eye tracking: corneal reflections (CRs), the pupil, and the iris. We prompted SAM2 via a typical hand annotation process that consisted of clicking on the pupil, CR, iris and sclera for only one image per participant. SAM2 was found to support better spatial pr

Meso-scale geometric modeling of cutting edges on vitrified bonded aluminum oxide grinding wheels for the multi-scale simulation of internal plunge grinding processes

Vitrified bonded aluminum oxide grinding wheels are widespread in use for many applications in grinding, such as internal plunge grinding. However, there are challenges when it comes to the measurement, analysis and (geometric) modeling of their topography, which is crucial to understand and model the influence of the topography on the process behavior. Methodological advances allow for the detail

Efficient Authentication Protocols from the Restricted Syndrome Decoding Problem

In this paper, we introduce an oracle version of the Restricted Syndrome Decoding Problem (RSDP) and propose novel authentication protocols based on the hardness of this problem. They follow the basic structure of the HB-family of authentication protocols and later improvements but demonstrate several advantages.An appropriate choice of multiplicative subgroup and ring structure gives rise to a ve

Behavioral-feedback SIR epidemic model : Analysis and control

This paper investigates a behavioral-feedback SIR model in which the infection rate adapts dynamically based on the fractions of susceptible and infected individuals. We introduce an invariant of motion and we characterize the peak of infection. We further examine the system under a threshold constraint on the infection level. Based on this analysis, we formulate an optimal control problem to keep

Themes throughout the years

- a source of knowledge, experiences and opportunities for future research cooperations Are you curious about future interdisciplinary cooperation within Lund University? Perhaps you want to know if someone has worked on your research idea already? On this page, we compiled all our Themes throughout the years. The years indicate the year the Themes started at Pufendorf IASThe links below lead you

https://www.pi.lu.se/en/about-pufendorf-ias-0/research-groups-throughout-years/themes-throughout-years - 2026-05-16