A Unified Framework for Vertical States Estimation: Data-Driven Approach Incorporating Uncertainty-Reference-Cited by-同舟云学术

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A Unified Framework for Vertical States Estimation: Data-Driven Approach Incorporating Uncertainty

Published:2024-06-27 Issue: Volume: Page:153-159
ISSN:
Container-title:Proceedings of the 2024 4th International Conference on Robotics and Control Engineering
language:
Short-container-title:

Author:

Shangguan Zhegong¹^ORCID,Mrhasli Younesse El¹^ORCID,Atheupe Gaël P.²^ORCID,Mouton Xavier³^ORCID,Monsuez Bruno¹^ORCID,Tapus Adriana¹^ORCID

Affiliation:

1. Autonomous Systems and Robotics Laboratory/U2IS, ENSTA Paris, Institut Polytechnique de Paris, France

2. Chassis Systems Department, Groupe RENAULT, France and Autonomous Systems and Robotics Laboratory/U2IS, ENSTA Paris, Institut Polytechnique de Paris, France

3. Chassis Systems Department, Groupe RENAULT, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674746.3674770

Reference19 articles.

1. Road Friction Virtual Sensing: A Review of Estimation Techniques with Emphasis on Low Excitation Approaches

2. Accurate virtual sensing of vertical tire forces for enhanced handling dynamics

3. Optuna

4. Lateral load transfer and normal forces estimation for vehicle safety: experimental test

5. Simultaneous Estimation of Unknown Road Roughness Input and Tire Normal Forces Based on a Long Short-Term Memory Model

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