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Homotopic Optimization for Autonomous Vehicle Maneuvering

Optimization of vehicle maneuvers using dynamic models in constrained spaces is challenging. Homotopic optimization, which has shown success for vehicle maneuvers with kinematic models, is studied in the case where the vehicle model is governed by dynamic equations considering road-tire interactions. This method involves a sequence of optimization problems that start with a large free space. By it

Investigating Characteristics and Opportunities for Rear-Wheel Steering

The potential of additional steering possibilities (like rear-wheel or all-wheel steering) is analyzed for critical situations to investigate possible safety improvements. For this purpose, a dynamic optimization problem is formulated to find the best possible maneuver. The optimization criterion is to maximize the entry speed into a constant radius 90°-curve. The optimization problem is solved fo

Hand Veins Feature Extraction using DT-CNNs

As the identification process is based on the unique patterns of the users, biometrics technologies are expected to provide highly secure authentication systems. The existing systems using fingerprints or retina patterns are, however, very vulnerable. One’s fingerprints are accessible as soon as the person touches a surface, while a high resolution camera easily captures the retina pattern. Thus,

A Focus on Critical Thinking or Linguistic Features?

The aim of the study is to research upper secondary teachers’ attitudes towards, and use of, critical perspectives in teaching literature in the subject of English in Sweden. This is done in relation to the inequality issues identified in the Swedish school context, the Swedish National Curriculum for the Upper Secondary School and the syllabi for English, along with a theoretical framework based

A Wideband Distributed Massive MIMO Channel Sounder for Communication and Sensing

Channel sounding is a vital step in the design and deployment of wireless communication systems. In this article, we present the design and implementation of a coherent distributed massive multiple-input-multiple-output (MIMO) channel sounder operating at 5 and 6GHz with a bandwidth of 400MHz based on the NI USRP X410. Through the integration of multiple transceiver chains and radio frequency (RF)

Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View Datasets

The availability of high-quality datasets is crucial for developing behavior prediction algorithms in autonomous vehicles. This paper highlights the need to standardize the use of certain datasets for motion forecasting research to simplify comparative analysis and proposes a set of tools and practices to achieve this. Drawing on extensive experience and a comprehensive review of current literatur

Ett svenskt kronvittnessystem? Billighetsskälen och en ny strafflindringsgrund

Den förhärskande straffrättsideologin i Sverige idag är nyklassisk, där proportionalitetsprincipen, ekvivalensprincipen och humanitetsprincipen är ledstjärnor vid utdömande av straff. Principen om proportionalitet innebär att straffen ska vara rättvisa, det vill säga att lika brott ska behandlas lika i ljuset av vilka straff som ska tilldelas. Vid den stora svenska brottsbalksreformen 1989 infördThe prevailing ideology of criminal justice in Sweden is neo-classical. The principles of proportionality, of equivalence and of humanity are the guiding principles of sentencing. The principles of proportionality and of equivalence mean that the punishment should be fair, e.g. the same crime should be treated equally in the light of the penalties. In the large Swedish penal code reform in 1989 t

“Brown Babies” in post-WWII Denmark : A Case Study of the Vulnerabilities of Adopted Children Born of War

Children born to occupying soldiers during or after conflicts are in many ways an extraordinarily vulnerable population. These so-called children born of war (CBOW) commonly inherit the stigma of transgression and foreignness from their respective parents and face discrimination in post-conflict societies. Their specific vulnerabilities, though, emerge from multiple overlapping factors: the needs

Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis Communications

There is a growing interest in industry and academia in machine learning (ML) testing. We believe that industry and academia need to learn together to produce rigorous and relevant knowledge. In this study, we initiate a collaboration between stakeholders from one case company, one research institute, and one university. To establish a common view of the problem domain, we applied an interactive r

Autoimmunity to selenoprotein P predicts breast cancer recurrence

BackgroundLow concentrations of serum selenium (Se) and its main transporter selenoprotein P (SELENOP) are associated with a poor prognosis following breast cancer diagnosis. Recently, natural autoantibodies (aAb) with antagonistic properties to SELENOP uptake have been identified in healthy subjects, and in patients with thyroid disease. Given the potential transport disrupting properties, we hyp

3D X-ray microscopy with a CsPbBr3 nanowire scintillator

X-ray microscopy is an essential imaging method in many scientific fields, which can be extended to three-dimensional (3D) using tomography. Recently, metal halide perovskite (MHP) nanomaterials have become a promising candidate for X-ray scintillators, due to their high light yield, high spatial resolution, and easy fabrication. Tomography requires many projections and therefore scintillators wit