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Planar motion is an important and frequently occurring situation in mobile robotics applications. This thesis concerns estimation of ego-motion and pose of a single downwards oriented camera under the assumptions of planar motion and known internal camera parameters. The so called essential matrix (or its uncalibrated counterpart, the fundamental matrix) is frequently used in computer vision appli
In this paper, we focus on solving the time delay as a separateproblem to the reconstruction of the microphone and sound locations.The time delay estimation appears as one of the main steps in sensorcalibration problem, once the time delays are known or estimated, wecan solve the time-difference-of-arrival problems by converting them totime-of-arrival problems. In this paper we make use of an alte
In this paper we present a novel, fast and accurate system for detecting the presence of cars in parking lots. The system is based on fast integral channel features and machine learning. The methods are well suited for running embedded on low performance platforms. The methods are tested on a database of nearly 700,000 images of parking spaces, where 48.5% are occupied and the rest are free. The e
There is a need for an automatic Gleason scoring system that can be used for prostate cancer diagnosis. Today the diagnoses are determined by pathologists manually, which is both a complex and a time-consuming task. To reduce the pathologists' workload, but also to reduce variations between different pathologists, an automatic classification system would be of great use. Some previous works have a
3D human pose and shape estimation plays a vital role in many computer vision applications. There are many deep learning based methods attempting to solve the problem only relying on single-view RGB images for training the network. However, since some public datasets are captured from multi-view cameras system, we propose a novel method to tackle the problem by putting optimization-based multi-vie
Increasingly fine-grained cloud billing creates incentives to review the software execution footprint in virtual environments. For example, virtual execution environments move towards lower overhead: from virtual machines to containers, unikernels, and serverless cloud computing. However, the execution footprint of security components in virtualized environments has either remained the same or eve
The scan-on-receive (SCORE) is a key digital beamforming (DBF) technique for future high-resolution wide-swath synthetic aperture radar (SAR) systems. A sharp and high gain receive beam, steered in real time towards the expected direction of arrival (DoA) of the backscattering signal, allows for improved SAR imaging performance with respect to a conventional approach. Nevertheless, it also exposes
Popular Abstract in Swedish Detta är en prospektiv longitudinell multicenterstudie som har haft som mål att utvärdera livskvaliteten (HRQL) hos patienter med cancer i huvudhalsregionen, vid diagnos, efter ett och fem år i relateration till tumörlokal, stadium, subsite, behand-ling, kön och ålder. Den första delen av studien, som varade i ett år, bestod av 357 patienter (medelålder 63 år; 72% män)The aim of this prospective longitudinal multicenter study was to evaluate the health-related quality of life (HRQL) in patients with head and neck cancer at diagnosis, after one and five years in relation to tumour location, stage, sub site, treatment modality, gender and age. The first part of the study, lasting for one year, consisted of 357 patients (mean age 63 years; 72% males) that were in
BACKGROUND: Hyperthyroidism is known to have a significant impact on quality of life (QoL), at least in the short term. The purpose of the present study was to assess QoL in patients 6-10 years after treatment for Graves' disease (GD) with radioiodine (RAI) compared to those treated with thyroidectomy or antithyroid drugs (ATD) as assessed with both thyroid-specific Thyroid-Related Patient-Reporte
This book constitutes the refereed proceedings of the 14th International Workshop on Post-Quantum Cryptography, PQCrypto 2022, held in College Park, MD, USA, in August 14–18, 2023.The 25 full papers presented in this book were carefully reviewed and selected from 51 submissions. They are categorized in the following topical sections: code-based cryptography; group-action-based cryptography; isogen
We study the notion of anonymous credentials with Publicly Auditable Privacy Revocation (PAPR). PAPR credentials simultaneously provide conditional user privacy and auditable privacy revocation. The first property implies that users keep their identity private when authenticating unless and until an appointed authority requests to revoke this privacy, retroactively. The second property enforces th
Misuse resilience is an important security criterion in the evaluation of the NIST Post-quantum cryptography standardization process. In this paper, we propose new key mismatch attacks against Kyber and Saber, NIST's selected scheme for encryption and one of the finalists in the third round of the NIST competition, respectively. Our novel idea is to recover partial information of multiple secret e
We report on precise Doppler measurements of L231-32 (TOI-270), a nearby M dwarf (d = 22 pc, M = 0.39 M, R = 0.38 R), which hosts three transiting planets that were recently discovered using data from the Transiting Exoplanet Survey Satellite (TESS). The three planets are 1.2, 2.4, and 2.1 times the size of Earth and have orbital periods of 3.4, 5.7, and 11.4 d. We obtained 29 high-resolution opti
Millimeter-wave cellular communication requires beamforming procedures that enable alignment of the transmitter and receiver beams as the user equipment (UE) moves. For efficient beam tracking it is advantageous to classify users according to their traffic and mobility patterns. Research to date has demonstrated efficient ways of machine learning based UE classification. Although different machine
In this paper we consider a collection of relative pose problems which arise naturally in applications for visual indoor navigation using unmanned aerial vehicles (UAVs). We focus on cases where additional information from an onboard IMU is available and thus provides a partial extrinsic calibration through the gravitational vector. The solvers are designed for a partially calibrated camera, for a
To resolve the various types of biological ice nuclei (IN) with atmospheric models, an extension of the empirical parameterization (EP) is proposed to predict the active IN from multiple groups of primary biological aerosol particles (PBAPs). Our approach is to utilize coincident observations of PBAP sizes, concentrations, biological composition, and ice nucleating ability. The parameterization or
Pseudo-Random Injections (PRIs) have been used in several applications in symmetric-key cryptography, such as in the idealization of Authenticated Encryption with Associated Data (AEAD) schemes, building robust AEAD, and, recently, in converting a committing AEAD scheme into a succinctly committing AEAD scheme. In Crypto 2024, Bellare and Hoang showed that if an AEAD scheme is already committing,
