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For understanding undue politicization, Wilhelm Agrell and Gregory Treverton in their book National Intelligence and Science (2015) describe ‘Intelligence Modes of Science’ at work in also science’s policy-maker-analyst interface, while analytical social epistemology points at medialization as additional background. In this paper, securitization’s process is used as frame for exploring how IPCC’s,
This thesis explores the application of European Union competition law — specifically Article 102 TFEU — to the regulatory conduct of dominant sports governing bodies such as UEFA, FIFA, and ISU. As sport has evolved into a major economic sector, the dual role of these organizations as both regulators and commercial actors has raised significant legal questions concerning abuse of dominance and ma
This paper is concerned with model fitting in the presence of noise and outliers. Previously it has been shown that the number of outliers can be minimized with polynomial complexity in the number of measurements. This paper improves on these results in two ways. First, it is shown that for a large class of problems, the statistically more desirable truncated L-2-norm can be optimized with the sam
The problem of fitting models to measured data has been studied extensively, not least in the field of computer vision. A central problem in this field is the difficulty in reliably find corresponding structures and points in different images, resulting in outlier data. This thesis presents theoretical results improving the understanding of the connection between model parameter estimation and pos
This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (a
The ability to quickly acquire 3D models is an essential capability needed in many disciplines including robotics, computer vision, geodesy, and architecture. In this paper we present a novel method for real-time camera tracking and 3D reconstruction of static indoor environments using an RGB-D sensor. We show that by representing the geometry with a signed distance function (SDF), the camera pose
The estimation of three-dimensional position information from two-dimensional images in computer vision systems can be formulated as a state estimation problem for a nonlinear perspective dynamic system. The multi-output state estimation problem has been treated by several authors using methods for nonlinear observer design. This paper shows that a perspective system can be transformed to two obse
This thesis concerns ego-motion and pose estimation of a single camera under the assumptions of planar motion and constant internal camera parameters. Planar motion is common for cameras mounted onto mobile robots, particularly in indoor scenarios, as they remain at a constant height above the ground plane. In Paper A, a parametrisation of the camera motion and pose is presented, along with an ite
Is the real problem in finding the relative orientation of two viewpoints the correspondence problem? We argue that this is only one difficulty. Even with known correspondences, popular methods like the eight point algorithm and minimal solvers may break down due to planar scenes or small relative motions. In this paper, we derive a simple, brute-force algorithm which is both robust to outliers an
Recent work on geometric vision problems has exploited convexity properties in order to obtain globally optimal solutions. In this paper we give an overview of these developments and show the tight connections between different types of convexity and optimality conditions for a large class of multiview geometry problems. We also show how the convexity properties are closely linked to different typ
Graph cuts methods are at the core of many state-of-the-art algorithms in computer vision due to their efficiency in computing globally optimal solutions. In this paper, we solve the maximum flow/minimum cut problem in parallel by splitting the graph into multiple parts and hence, further increase the computational efficacy of graph cuts. Optimality of the solution is guaranteed by dual decomposit
When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and expertise. We are convinced th
Master thesis in the programme Film & Media Producing. The summary of the process of making the short film “Paranoia”
Syftet med uppsatsen är att undersöka på vilket sätt könsroller och könsnormer tar sig uttryck i realityserien Love is Blind Sverige säsong 2. För att möjliggöra detta har en kvalitativ tematisk innehållsanalys av utvalda avsnitt och händelser utförts. Uppsatsens teoretiska ramverk innefattar teorier kring reality-tv, genus och könets performativitet i reality-tv. Baserat på studiens analys kunde
This article engages critically with one of the more original and thought-provoking efforts of recent years to respond philosophically to the current predicament of the world: Thomas Lynch’s 2019 study Apocalyptic Political Theology. While agreeing with Lynch that the urgency of our times calls for more radical approaches than cautious dialogue or reformist adaptation, it nonetheless argues that a
We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination
A general formulation for the distribution problem is presented, which is applicable to frequency distributions of subgrid-scale variables and hydrometeor size distributions, as well as to probability distributions characterizing data uncertainties. The general formulation is presented based upon two well-known basic principles: the maximum-entropy principle and the Liouville equation. The maximum
During 2024, an intensive 114CO2 flask sampling campaign was conducted at 12 sampling stations across Europe as part of the CO2MVS Research on Supplementary Observations (CORSO) project. These 114CO2 samples, combined with CO2 atmospheric measurements, are intended to enhance the estimation of fossil CO2 emissions over Europe through inverse modeling. In this study, we perform a series of Observin
Microsoft Word - Thesis A-L Ikkala.doc 1 The Upcoming REDD Mechanism in the Light of Existing Forest Instruments by Anna-Leena Ikkala Supervisor Dr. Anne Jerneck (LUCSUS) A Thesis Submitted to Lund University in partial fulfilment of the requirements for the degree of MASTER OF SCIENCE International Master’s Programme in Environmental Studies and Sustainability Science (LUMES) Lund University Cent
https://www.lumes.lu.se/sites/lumes.lu.se/files/ikkala_anna-lena_0.pdf - 2026-05-30
