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Deep learning-assisted analysis of automobiles handling performances Cover

Deep learning-assisted analysis of automobiles handling performances

Communications in Applied and Industrial Mathematics
Volume 13 (2022): Issue 1 (January 2022)
By: Davide Sapienza,  Davide Paganelli,  Marco Prato,  Marko Bertogna and  Matteo Spallanzani  
Open Access
|Dec 2022

Authors

Davide Sapienza

Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia, Modena, Italy
Department of Mathematical, Physical and Computer Sciences, University of Parma, Italy

Davide Paganelli

Vehicle Dynamics, Maserati, Modena, Italy

Marco Prato

Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia, Modena, Italy

Marko Bertogna

Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia, Modena, Italy

Matteo Spallanzani

spmatteo@ethz.ch

Departement Informationstechnologie und Elektrotechnik, ETH Zürich, Zürich, Switzerland
DOI: https://doi.org/10.2478/caim-2022-0007 | Journal eISSN: 2038-0909
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Language: English
Page range: 78 - 95
Submitted on: Apr 26, 2022
|
Accepted on: Nov 9, 2022
|
Published on: Dec 24, 2022
Published by: Italian Society for Applied and Industrial Mathemathics
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Automotive engineering,
Automobiles design,
Deep learning,
Saliency maps,
Attention mechanisms
Related subjects:
Mathematics,
Numerical and computational mathematics,
Applied mathematics

© 2022 Davide Sapienza, Davide Paganelli, Marco Prato, Marko Bertogna, Matteo Spallanzani, published by Italian Society for Applied and Industrial Mathemathics
This work is licensed under the Creative Commons Attribution 4.0 License.

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