Vehicle consumption estimation via calibrated Gaussian Process regression - Archive ouverte HAL
Conference Papers Year : 2022

Vehicle consumption estimation via calibrated Gaussian Process regression

Mathieu Randon
  • Function : Author
  • PersonId : 1156067
RENAULT
Heuristique et Diagnostic des Systèmes Complexes [Compiègne]
Roberval
Benjamin Quost
Heuristique et Diagnostic des Systèmes Complexes [Compiègne]
Nassim Boudaoud
  • Function : Author
Roberval
Dirk von Wissel
  • Function : Author
  • PersonId : 978802
RENAULT

Domains

Machine Learning [cs.LG] Artificial Intelligence [cs.AI] Neural and Evolutionary Computing [cs.NE] Data Analysis, Statistics and Probability [physics.data-an]

Mathieu Randon  : Connect in order to contact the contributor

https://hal.science/hal-03751086

Submitted on : Saturday, August 13, 2022-4:07:19 PM

Last modification on : Wednesday, July 10, 2024-10:07:01 AM

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hal-03751086 , version 1 (13-08-2022)

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Mathieu Randon, Benjamin Quost, Nassim Boudaoud, Dirk von Wissel. Vehicle consumption estimation via calibrated Gaussian Process regression. 33rd IEEE Intelligent Vehicles Symposium (IV 2022), Jun 2022, Aachen, Germany. pp.71-76, ⟨10.1109/IV51971.2022.9827326⟩. ⟨hal-03751086⟩

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