Estimation of vehicle longitudinal velocity with artificial neural network

G Napolitano Dell'Annunziata, VM Arricale, F Farroni… - Sensors, 2022 - mdpi.com
Vehicle dynamics control systems have a fundamental role in smart and autonomous
mobility, where one of the most crucial aspects is the vehicle body velocity estimation. In this …

[HTML][HTML] RANS 3D CFD simulations to enhance the thermal prediction of tyre thermodynamic model: A hierarchical approach

L Teodosio, F Timpone, GN dell'Annunziata… - Results in …, 2021 - Elsevier
In this work, a combined numerical/experimental analysis is performed for an automotive
tyre. A preliminary experimental activity is realized on examined tyre to measure the …

Research on path planning algorithm for driverless vehicles

H Ma, W Pei, Q Zhang - Mathematics, 2022 - mdpi.com
In a complex environment, although the artificial potential field (APF) method of improving
the repulsion function solves the defect of local minimum, the planned path has an …

Transient tyre models with a flexible carcass

L Romano, F Bruzelius, B Jacobson - Vehicle System Dynamics, 2024 - Taylor & Francis
The accuracy of transient tyre models may be largely improved by considering the flexibility
of the tyre carcass. Several formulations, whereby the unsteady behaviour of the tyre is …

Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development

G Napolitano Dell'Annunziata, M Ruffini, R Stefanelli… - Applied Sciences, 2024 - mdpi.com
In the last few decades, the role of vehicle dynamics control systems has become crucial. In
this complex scenario, the correct real-time estimation of the vehicle's sideslip angle is …

Path following for Autonomous Ground Vehicle Using DDPG Algorithm: A Reinforcement Learning Approach

Y Cao, K Ni, X Jiang, T Kuroiwa, H Zhang… - Applied Sciences, 2023 - mdpi.com
The potential of autonomous driving technology to revolutionize the transportation industry
has attracted significant attention. Path following, a fundamental task in autonomous driving …

Research on Yaw Stability Control of Front-Wheel Dual-Motor-Driven Driverless Formula Racing Car

B Liu, G Li, H Bai, S Wang, X Zhang - World Electric Vehicle Journal, 2024 - mdpi.com
In order to improve the yaw stability of a front-wheel dual-motor-driven driverless vehicle, a
yaw stability control strategy is proposed for a front-wheel dual-motor-driven formula student …

A data-driven framework for forecasting transient vehicle thermal performances

C Zhao, C Kim, Y Won - Numerical Heat Transfer, Part B …, 2024 - Taylor & Francis
Transient vehicle dynamics are deeply affected by the spatial distribution of tire temperature,
heat generation, and heat dissipation capacity. However, the tire testing process involves …

Improved Model Predictive Control Path Tracking Approach Based on Online Updated Algorithm with Fuzzy Control and Variable Prediction Time Domain for …

B Liu, Z Wang, H Guo, G Zhang - World Electric Vehicle Journal, 2024 - mdpi.com
The design of trajectory tracking controllers for smart driving cars still faces problems, such
as uncertain parameters and it being time-consuming. To improve the tracking performance …

A Co-Simulation Platform with Tire and Brake Thermal Model for the Analysis and Reproduction of Blanking

F Romagnuolo, S Avolio, G Fichera, M Ruffini… - Vehicles, 2023 - mdpi.com
In the world of motorsports engineering, improving brake performance is a crucial goal. One
significant factor that affects this performance is the increase in brake disc temperature due …