Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Braun, Marco"'
Current Deep Learning methods for environment segmentation and velocity estimation rely on Convolutional Recurrent Neural Networks to exploit spatio-temporal relationships within obtained sensor data. These approaches derive scene dynamics implicitly
Externí odkaz:
http://arxiv.org/abs/2306.06126
In this work, we introduce a novel Deep Learning-based method to perceive the environment of a vehicle based on radar scans while accounting for uncertainties in its predictions. The environment of the host vehicle is segmented into equally sized gri
Externí odkaz:
http://arxiv.org/abs/2306.03018
Publikováno v:
Journal of Physics: Conference Series, Volume 1924
For autonomous driving, radar sensors provide superior reliability regardless of weather conditions as well as a significantly high detection range. State-of-the-art algorithms for environment perception based on radar scans build up on deep neural n
Externí odkaz:
http://arxiv.org/abs/2305.12775
Digitalization and sector coupling enable companies to turn into flexumers. By using the flexibility of their multi-energy system (MES), they reduce costs and carbon emissions while stabilizing the electricity system. However, to identify the necessa
Externí odkaz:
http://arxiv.org/abs/2301.07997
Autor:
Braun, Marco, Cichos, Frank
Publikováno v:
Diffusion fundamentals 20 (2013) 62, S.
Autor:
Adombi, Adoubi Vincent De Paul, Chesnaux, Romain, Boucher, Marie-Amélie, Braun, Marco, Lavoie, Juliette
Publikováno v:
In Journal of Hydrology June 2024 637
Price-based demand response (PBDR) has recently been attributed great economic but also environmental potential. However, the determination of its short-term effects on carbon emissions requires the knowledge of marginal emission factors (MEFs), whic
Externí odkaz:
http://arxiv.org/abs/2012.00375
The Jarzynski equality relates the free energy difference between two equilibrium states to the fluctuating irreversible work afforded to switch between them. The prescribed fixed temperature for the equilibrium states implicitly constrains the dissi
Externí odkaz:
http://arxiv.org/abs/2009.00950
Autor:
Xu, Ke, Aldudak, Fettah, Pecher, Oliver, Braun, Marco, Neuberger, Andreas, Foysi, Holger, Schmedt auf der Günne, Jörn
Publikováno v:
In Solid State Nuclear Magnetic Resonance August 2023 126
Autor:
Bürger, Adrian, Bohlayer, Markus, Hoffmann, Sarah, Altmann-Dieses, Angelika, Braun, Marco, Diehl, Moritz
This work presents a whole-year simulation study on nonlinear mixed-integer Model Predictive Control (MPC) for a complex thermal energy supply system which consists of a heat pump, stratified water storages, free cooling facilities, and a large under
Externí odkaz:
http://arxiv.org/abs/1905.09187