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Search Results (3)

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Authors = Fabian Schuetz

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39 pages, 3639 KiB  
Review
A Review of Trajectory Prediction Methods for the Vulnerable Road User
by Erik Schuetz and Fabian B. Flohr
Robotics 2024, 13(1), 1; https://doi.org/10.3390/robotics13010001 - 19 Dec 2023
Cited by 7 | Viewed by 7535
Abstract
Predicting the trajectory of other road users, especially vulnerable road users (VRUs), is an important aspect of safety and planning efficiency for autonomous vehicles. With recent advances in Deep-Learning-based approaches in this field, physics- and classical Machine-Learning-based methods cannot exhibit competitive results compared [...] Read more.
Predicting the trajectory of other road users, especially vulnerable road users (VRUs), is an important aspect of safety and planning efficiency for autonomous vehicles. With recent advances in Deep-Learning-based approaches in this field, physics- and classical Machine-Learning-based methods cannot exhibit competitive results compared to the former. Hence, this paper provides an extensive review of recent Deep-Learning-based methods in trajectory prediction for VRUs and autonomous driving in general. We review the state and context representations and architectural insights of selected methods, divided into categories according to their primary prediction scheme. Additionally, we summarize reported results on popular datasets for all methods presented in this review. The results show that conditional variational autoencoders achieve the best overall results on both pedestrian and autonomous driving datasets. Finally, we outline possible future research directions for the field of trajectory prediction in autonomous driving. Full article
(This article belongs to the Special Issue Motion Trajectory Prediction for Mobile Robots)
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15 pages, 3481 KiB  
Article
Reduced Humoral and Cellular Immune Response to Primary COVID-19 mRNA Vaccination in Kidney Transplanted Children Aged 5–11 Years
by Jasmin K. Lalia, Raphael Schild, Marc Lütgehetmann, Gabor A. Dunay, Tilmann Kallinich, Robin Kobbe, Mona Massoud, Jun Oh, Leonora Pietzsch, Ulf Schulze-Sturm, Catharina Schuetz, Freya Sibbertsen, Fabian Speth, Sebastian Thieme, Mario Witkowski, Reinhard Berner, Ania C. Muntau, Søren W. Gersting, Nicole Toepfner, Julia Pagel and Kevin Pauladd Show full author list remove Hide full author list
Viruses 2023, 15(7), 1553; https://doi.org/10.3390/v15071553 - 14 Jul 2023
Cited by 4 | Viewed by 2287
Abstract
The situation of limited data concerning the response to COVID-19 mRNA vaccinations in immunocom-promised children hinders evidence-based recommendations. This prospective observational study investigated humoral and T cell responses after primary BNT162b2 vaccination in secondary immunocompromised and healthy children aged 5–11 years. Participants were [...] Read more.
The situation of limited data concerning the response to COVID-19 mRNA vaccinations in immunocom-promised children hinders evidence-based recommendations. This prospective observational study investigated humoral and T cell responses after primary BNT162b2 vaccination in secondary immunocompromised and healthy children aged 5–11 years. Participants were categorized as: children after kidney transplantation (KTx, n = 9), proteinuric glomerulonephritis (GN, n = 4) and healthy children (controls, n = 8). Expression of activation-induced markers and cytokine secretion were determined to quantify the T cell response from PBMCs stimulated with peptide pools covering the spike glycoprotein of SARS-CoV-2 Wuhan Hu-1 and Omicron BA.5. Antibodies against SARS-CoV-2 spike receptor-binding domain were quantified in serum. Seroconversion was detected in 56% of KTx patients and in 100% of the GN patients and controls. Titer levels were significantly higher in GN patients and controls than in KTx patients. In Ktx patients, the humoral response increased after a third immunization. No differences in the frequency of antigen-specific CD4+ and CD8+ T cells between all groups were observed. T cells showed a predominant anti-viral capacity in their secreted cytokines; however, this capacity was reduced in KTx patients. This study provides missing evidence concerning the humoral and T cell response in immunocompromised children after COVID-19 vaccination. Full article
(This article belongs to the Special Issue SARS-CoV-2 and mRNA Vaccines)
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27 pages, 9878 KiB  
Article
Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System
by Timo Kannengießer, Maximilian Hoffmann, Leander Kotzur, Peter Stenzel, Fabian Schuetz, Klaus Peters, Stefan Nykamp, Detlef Stolten and Martin Robinius
Energies 2019, 12(14), 2825; https://doi.org/10.3390/en12142825 - 22 Jul 2019
Cited by 27 | Viewed by 8110
Abstract
The complexity of Mixed-Integer Linear Programs (MILPs) increases with the number of nodes in energy system models. An increasing complexity constitutes a high computational load that can limit the scale of the energy system model. Hence, methods are sought to reduce this complexity. [...] Read more.
The complexity of Mixed-Integer Linear Programs (MILPs) increases with the number of nodes in energy system models. An increasing complexity constitutes a high computational load that can limit the scale of the energy system model. Hence, methods are sought to reduce this complexity. In this paper, we present a new 2-Level Approach to MILP energy system models that determines the system design through a combination of continuous and discrete decisions. On the first level, data reduction methods are used to determine the discrete design decisions in a simplified solution space. Those decisions are then fixed, and on the second level the full dataset is used to ex-tract the exact scaling of the chosen technologies. The performance of the new 2-Level Approach is evaluated for a case study of an urban energy system with six buildings and an island system based on a high share of renewable energy technologies. The results of the studies show a high accuracy with respect to the total annual costs, chosen system structure, installed capacities and peak load with the 2-Level Approach compared to the results of a single level optimization. The computational load is thereby reduced by more than one order of magnitude. Full article
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