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Hybrid Physics and Deep Learning Model for Interpretable Vehicle State
  Prediction

Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction

11 March 2021
Alexandra Baier
Zeyd Boukhers
Steffen Staab
ArXivPDFHTML

Papers citing "Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction"

3 / 3 papers shown
Title
Data-Driven Dynamics Modeling of Miniature Robotic Blimps Using Neural
  ODEs With Parameter Auto-Tuning
Data-Driven Dynamics Modeling of Miniature Robotic Blimps Using Neural ODEs With Parameter Auto-Tuning
Yongjian Zhu
Hao Cheng
Feitian Zhang
AI4CE
42
1
0
29 Apr 2024
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Informed Neural
  Network for Autonomous Racing
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Informed Neural Network for Autonomous Racing
John Chrosniak
Jingyun Ning
Madhur Behl
AI4CE
18
6
0
07 Dec 2023
Robust Recurrent Neural Network to Identify Ship Motion in Open Water
  with Performance Guarantees -- Technical Report
Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees -- Technical Report
Daniel Frank
Decky Aspandi Latif
Michael Muehlebach
Benjamin Unger
Steffen Staab
29
2
0
12 Dec 2022
1