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pro vyhledávání: '"Graichen A"'
This paper presents the open-source stochastic model predictive control framework GRAMPC-S for nonlinear uncertain systems with chance constraints. It provides several uncertainty propagation methods to predict stochastic moments of the system state
Externí odkaz:
http://arxiv.org/abs/2407.09261
Publikováno v:
2023 62nd IEEE IEEE Conference on Decision and Control (CDC), Singapore, Singapore, December 13 - 15, 2023, pp. 322--327
Trajectory planners of autonomous vehicles usually rely on physical models to predict the vehicle behavior. However, despite their suitability, physical models have some shortcomings. On the one hand, simple models suffer from larger model errors and
Externí odkaz:
http://arxiv.org/abs/2407.06605
This paper presents a distributed model predictive control (DMPC) scheme for nonlinear continuous-time systems. The underlying distributed optimal control problem is cooperatively solved in parallel via a sensitivity-based algorithm. The algorithm is
Externí odkaz:
http://arxiv.org/abs/2406.03134
Alongside optimization-based planners, sampling-based approaches are often used in trajectory planning for autonomous driving due to their simplicity. Model predictive path integral control is a framework that builds upon optimization principles whil
Externí odkaz:
http://arxiv.org/abs/2404.09657
Publikováno v:
2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Shinhwa World, Jeju Island, Korea, June 2-5, 2024, pp. 110-117
Trajectory planning in autonomous driving is highly dependent on predicting the emergent behavior of other road users. Learning-based methods are currently showing impressive results in simulation-based challenges, with transformer-based architecture
Externí odkaz:
http://arxiv.org/abs/2404.08271
Publikováno v:
Energy and Buildings, Volume 307 (2024) 113968
This paper presents a new approach to predict the occupancy for building energy systems (BES). A Gaussian Process (GP) is used to model the occupancy and is represented as a state space model that is equivalent to the full GP if Kalman filtering and
Externí odkaz:
http://arxiv.org/abs/2401.05074
Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images
Autor:
Hoffmann, Marcel, Braun, Sandro, Sura, Oliver, Stelzig, Michael, Schüßler, Christian, Graichen, Knut, Vossiek, Martin
This paper presents an approach to automatically annotate automotive radar data with AI-segmented aerial camera images. For this, the images of an unmanned aerial vehicle (UAV) above a radar vehicle are panoptically segmented and mapped in the ground
Externí odkaz:
http://arxiv.org/abs/2309.00268
Autor:
Lu Zhang, Hsiu-Hsin Cheng, Nadine Krüger, Bojan Hörnich, Luise Graichen, Alexander S Hahn, Sebastian R Schulz, Hans-Martin Jäck, Metodi V Stankov, Georg M N Behrens, Marcel A Müller, Christian Drosten, Onnen Mörer, Martin Sebastian Winkler, ZhaoHui Qian, Stefan Pöhlmann, Markus Hoffmann
Publikováno v:
PLoS Pathogens, Vol 20, Iss 11, p e1012653 (2024)
The COVID-19 pandemic, caused by SARS-CoV-2, demonstrated that zoonotic transmission of animal sarbecoviruses threatens human health but the determinants of transmission are incompletely understood. Here, we show that most spike (S) proteins of horse
Externí odkaz:
https://doaj.org/article/dd59c1eaa458436d8dfc21d5782cf2ec
Autor:
Sophie Edtmayer, Agnieszka Witalisz-Siepracka, Bernhard Zdársky, Kerstin Heindl, Stefanie Weiss, Thomas Eder, Sayantanee Dutta, Uwe Graichen, Sascha Klee, Omar Sharif, Rotraud Wieser, Balázs Győrffy, Valeria Poli, Emilio Casanova, Heinz Sill, Florian Grebien, Dagmar Stoiber
Publikováno v:
Cell Death and Disease, Vol 15, Iss 5, Pp 1-12 (2024)
Abstract Signal transducer and activator of transcription 3 (STAT3) is frequently overexpressed in patients with acute myeloid leukemia (AML). STAT3 exists in two distinct alternatively spliced isoforms, the full-length isoform STAT3α and the C-term
Externí odkaz:
https://doaj.org/article/fa3588b01db84ae4a00ac9b61c021e7a
Autor:
Filipe Zimmer Dezordi, José Valter Joaquim Silva Júnior, Terimar Facin Ruoso, Angela Giovana Batista, Pedro Mesquita Fonseca, Larissa Paim Bernardo, Richard Steiner Salvato, Tatiana Schäffer Gregianini, Thaísa Regina Rocha Lopes, Eduardo Furtado Flores, Rudi Weiblen, Patrícia Chaves Brites, Mônica de Medeiros Silva, João Batista Teixeira da Rocha, Gustavo de Lima Barbosa, Lais Ceschini Machado, Alexandre Freitas da Silva, Marcelo Henrique Santos Paiva, Matheus Filgueira Bezerra, Tulio de Lima Campos, Tiago Gräf, Daniel Angelo Sganzerla Graichen, Elgion Lucio da Silva Loreto, Gabriel da Luz Wallau
Publikováno v:
Virus Research, Vol 351, Iss , Pp 199500- (2025)
Brazil's COVID-19 response has faced challenges due to the continuous emergence of variants of concern (VOCs), emphasizing the need for ongoing genomic surveillance and retrospective analyses of past epidemic waves to reassess and fine tune containme
Externí odkaz:
https://doaj.org/article/aaf844fc6548499992b5d794888741e5