How do we relate to monuments and statues in public spaces? And how do our perceptions shift when history confronts us with new insights?In the wake of the Black Lives Matter movement in 2020, many monuments and statues across the world became the focal point of intense debate. Some were torn down, others covered up, and others were re-examined in light of not only colonial and racial oppression,

SignificanceThe spatial distribution of the photosensitizing drug concentration is an important parameter for predicting the photodynamic therapy (PDT) outcome. Current diffuse fluorescence tomography methods lack accuracy in quantifying drug concentration. The development of accurate methods for monitoring the temporal evolution of the drug distribution in tissue can advance the real-time light d

Vad formar synen på sexualitet hos personer med funktionsnedsättning – både från samhällets sida och hos individen själv? Vilka begränsningar upplever dessa personer när det gäller till exempel dejting, intimitet och föräldraskap? I denna banbrytande bok utforskas ett område som kan vara känsligt och tabubelagt: relationen mellan funktionsnedsättning och sexualitet.Funktionshinder och sexualitet g

This intervention-based action research study describes the design, implementation, use and evaluation of an artefact, a performance measurement system (PMS), for change initiatives. The longitudinal (6-year) research study covers all three steps of planned change—change readiness, implementation, and institutionalisation. The PMS worked well, delivering valid and reliable measurements and informa

PurposeAs the warehouse is increasingly viewed as a strategic component, retailers’ willingness to invest in automated warehouse systems (AWS) has increased. These investment decisions are influenced by well-known operational factors, but strategic factors, which have received limited attention in warehousing literature, also play a pivotal role. Addressing this gap, this study investigates how st

In this dissertation I examine the main scaling challenges in autonomous driving development, discussing recent advances in the field while contributing specific solutions to key bottlenecks. The first challenge is the reliance on human labor, particularly for annotations. Here we make two key contributions: new techniques to extract additional value from existing annotations through future predic

Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360° perception and temporal reasoning. To address this gap, we introduce Zenseact Open Dataset (ZOD), a large- scale and diverse multimodal dataset collected over two years in various European countries, covering an area 9×that of existing datasets. ZOD boasts the highest range and

We present a versatile NeRF-based simulator for testing autonomous driving (AD) software systems, designed with a focus on sensor-realistic closed-loop evaluation and the creation of safety-critical scenarios. The simulator learns from sequences of real-world driving sensor data and enables reconfigurations and renderings of new, unseen scenarios. In this work, we use our simulator to test the res