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Research connecting text and images has recently seen several breakthroughs, with models like CLIP, DALL•E 2, and Stable Diffusion. However, the connection between text and other visual modalities, such as lidar data, has received less attention, prohibited by the lack of text-lidar datasets. In this work, we propose LidarCLIP, a mapping from automotive point clouds to a pre-existing CLIP embeddin
In this paper, we revisit the problem of estimating the relative pose from a sparse set of point-correspondences. For each point-correspondence we also estimate the relative depth, i.e. the relative distance to the scene point in the two images. This yields an additional constraint, allowing us to use fewer matches in RANSAC to generate the pose candidates. In the paper we propose two novel minima
Semiconductor technology constantly advances, enabling integrated circuits (ICs) with increasingly numerous, faster, and smaller transistors. While this progress offers many benefits, it also presents new challenges, such as tighter margins, wear-outs, and process variations. To effectively tackle these challenges, the conventional approach of using external test instruments during manufacturing t
Electric road systems (ERSs) present a transformative advancement in transportation electrification, offering continuous charging capabilities for electric vehicles (EVs) during travel. This innovation has the potential to significantly mitigate range anxiety by enabling in-motion charging, thereby enhancing the overall efficiency of electric mobility, and reducing the frequency of charging stops
Mobile stroke units (MSUs), which are specialized ambulances equipped with a brain imaging device and staffed with trained healthcare personnel, have the potential to provide rapid on-site diagnosis and treatment for stroke patients. However, efficient access to prehospital stroke care requires optimizing the placement of MSUs. The MSU allocation problem has been previously solved using a traditio
Recent years have brought new directionality to university’s work with innovation – increasing the focus on addressing societal challenges and contributing to much broader frames for impact. Working with complex challenges, where no one actor can do everything by themselves, requires collaboration across actor groups (private sector, academia, public sector, civil society), industrial sectors, dis
Alternative jet fuels can be radically different from conventional fuels in composition, and the consequences of these differences are a subject of ongoing research. Numerical combustion simulations are vital to this research, and require chemical reaction mechanisms that accurately capture the chemical pathways of combustion. For turbulent combustion, these mechanisms must also be compact and eff
Three-dimensional Large Eddy Simulations (LES) are conducted on a non-premixed hydrogen-air annular rotating detonation combustor (RDC). A 22-step finite-rate chemistry reaction mechanism and a flow solver previously developed for high-speed reacting flow are used to perform the LES’. The selected case is an RDC designed by the US Air Force Research Laboratory and has been studied experimentally a
The Swedish parliamentary records are an important source material for social science and humanities researchers. We introduce a new research corpus, the Swedish Parliament Corpus, which is larger and more developed than previously available research corpora for the Swedish parliament. The corpus contains annotated and structured parliamentary records over more than 150 years, through the bicamera
The advances in highly automated and autonomous transportation systems over the last decade have generated great interest in topics in the safe navigation of land vehicles. With distributed control strategies employed in the majority of applications of autonomous vehicles, such as traffic and formation control, the much-required resilience takes the form of fault-tolerance with respect to informat
We present a simple key-recovery attack on the LCMQ Authentication Protocol, an RFID authentication protocol proposed by Li, Gong, and Qin in 2013. We show that a successful attack is performed by solving a Learning Parity with Noise instance in a not-too-large dimension. For the proposed LCMQ parameters, the attack requires only a few invocations with the tag under attack. When there is no restri
As tech giants such as Apple and Meta invest heavily in Virtual and Augmented Reality (VR/AR) technologies, often collectively termed Extended Reality (XR) devices, a significant societal concern emerges: The use of eye-tracking technology within these devices. Gaze data holds immense value, revealing insights into user attention, health, and cognitive states. This raises substantial concerns over
This study aims to compare the effectiveness of different Pharmacokinetic-Pharmacodynamic (PK-PD) models for administering Propofol and Remifentanil, two critical agents in anesthesia. Initially, different PK models were introduced: one for Propofol based on the Schnider model and another for Remifentanil using the Minto model. Alternatively, both drugs were modeled using the Eleveld models. The P
