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Vehicle-to-everything communication system is a strong candidate for improving the driving experience and automotive safety by linking vehicles to wireless networks. To take advantage of the full benefits of vehicle connectivity, it is…

Information Theory · Computer Science 2021-11-12 Seong-Hwan Hyun , Jiho Song , Keunwoo Kim , Jong-Ho Lee , Seong-Cheol Kim

Trying to solve hard optimisation problems with quantum techniques requires transformations of domain objectives and constraints into formats compatible with a chosen quantum algorithm. This often introduces inefficiencies and overheads…

Quantum Physics · Physics 2026-05-19 Simon Thelen , Wolfgang Mauerer

The field of trajectory forecasting has grown significantly in recent years, partially owing to the release of numerous large-scale, real-world human trajectory datasets for autonomous vehicles (AVs) and pedestrian motion tracking. While…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Boris Ivanovic , Guanyu Song , Igor Gilitschenski , Marco Pavone

In order to track all persons in a scene, the tracking-by-detection paradigm has proven to be a very effective approach. Yet, relying solely on a single detector is also a major limitation, as useful image information might be ignored.…

Computer Vision and Pattern Recognition · Computer Science 2018-04-25 Roberto Henschel , Laura Leal-Taixé , Daniel Cremers , Bodo Rosenhahn

The Kassiopeia particle tracking framework is an object-oriented software package using modern C++ techniques, written originally to meet the needs of the KATRIN collaboration. Kassiopeia features a new algorithmic paradigm for particle…

SAXSFit is a computer analysis program that has been developed to assist in the fitting of small-angle x-ray and neutron scattering spectra primarily from nanoparticles (nanopores). The fitting procedure yields the pore or particle size…

Data Analysis, Statistics and Probability · Physics 2009-02-02 Bridget Ingham , Haiyong Li , Emily L. Allen , Michael F. Toney

Density-functional theory (DFT) has revolutionized computational prediction of atomic-scale properties from first principles in physics, chemistry and materials science. Continuing development of new methods is necessary for accurate…

Allpix$^2$ is a versatile, open-source simulation framework for silicon pixel detectors. Its goal is to ease the implementation of detailed simulations for both single sensors and more complex setups with multiple detectors. While…

Instrumentation and Detectors · Physics 2022-10-05 Simon Spannagel , Paul Schütze

The collaboration of several people in groups is becoming more and more important nowadays. Teamwork is often used for decision-making processes and for solving complex problems. Research in this area focuses on the quantification and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-16 Michael Hopfengaertner

Allpix$^2$ (read: Allpix Squared) is a generic, open-source software framework for the simulation of silicon pixel detectors. Its goal is to ease the implementation of detailed simulations for both single detectors and more complex setups…

Metal-organic frameworks (MOFs) are a major target of machine-learning-based property prediction, yet most models assume that a single framework representation maps to a single property value. This assumption becomes problematic for…

Materials Science · Physics 2026-04-22 Seunghee Han , Jaewoong Lee , Jihan Kim

This paper presents a model for tracking of extended targets, where each target is represented by a given number of elliptic subobjects. A gamma Gaussian inverse Wishart implementation is derived, and necessary approximations are suggested…

Systems and Control · Computer Science 2014-06-10 Karl Granstrom

Rules offer an invaluable combination of predictive and descriptive capabilities. Our package for rule-based data analysis, RuleKit, has proven its effectiveness in classification, regression, and survival problems. Here we present its…

Machine Learning · Computer Science 2025-04-30 Adam Gudyś , Cezary Maszczyk , Joanna Badura , Adam Grzelak , Marek Sikora , Łukasz Wróbel

This paper presents a fast and modular framework for Multi-Object Tracking (MOT) based on the Markov descision process (MDP) tracking-by-detection paradigm. It is designed to allow its various functional components to be replaced by…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Abhineet Singh

Quantum computing holds great promise for surpassing the limits of classical devices in many fields. Despite impressive developments, however, current research is primarily focused on qubits. At the same time, quantum hardware based on…

Quantum Physics · Physics 2024-10-07 Kevin Mato , Martin Ringbauer , Lukas Burgholzer , Robert Wille

We give an overview of track fitting using the Kalman filter method in the NOMAD detector at CERN, and emphasize how the wealth of by-product information can be used to analyze track breakpoints (discontinuities in track parameters caused…

Data Analysis, Statistics and Probability · Physics 2009-10-31 Pierre Astier , Alessandro Cardini , Robert D. Cousins , Antoine Letessier-Selvon , Boris A. Popov , Tatiana Vinogradova

We present LZIFU (LaZy-IFU), an IDL toolkit for fitting multiple emission lines simultaneously in integral field spectroscopy (IFS) data. LZIFU is useful for the investigation of the dynamical, physical and chemical properties of gas in…

Transformer-based general visual geometry frameworks have shown promising performance in camera pose estimation and 3D scene understanding. Recent advancements in Visual Geometry Grounded Transformer (VGGT) models have shown great promise…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Yangfan Xu , Lilian Zhang , Xiaofeng He , Pengdong Wu , Wenqi Wu , Jun Mao

We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons. The software exploits differentiable programming for the…

We present version 2 of QuTiP, the Quantum Toolbox in Python. Compared to the preceding version [Comput. Phys. Comm. 183 (2012) 1760], we have introduced numerous new features, enhanced performance, made changes in the Application…

Quantum Physics · Physics 2013-02-04 J. R. Johansson , P. D. Nation , Franco Nori