activity
20122026
most citedLateral control for autonomous vehicles: A comparative evaluation

65 citations · 67 across the 10 of their papers we have counts for

collaborators

11 papers

cs.RO2026

Generation of Vectorized Maps Beyond Vehicle View

Clara Gomez, Alberto Jaenal, Antonio Artuñedo +2

Autonomous driving relies on High Definition (HD) maps for safe navigation. Traditional HD maps construction is costly in hardware, data and human resources, which together with it…

cs.RO2026

Waypoints Matter: A Systematic Study for Sampling-Based Trajectory Planning

Josep M. Barbera, Antonio Artuñedo, Jorge Villagra

Real-time autonomous driving commonly relies on sampling-based trajectory planners that link candidate trajectories to target waypoints along the road centerline. The placement of…

eess.SY2024

Frequency-based Design Method for Model-Free Controllers

Marcos Moreno-Gonzalez, Antonio Artuñedo, Jorge Villagra

Model-Free Control (MFC) has been applied to a wide variety of systems in which it has shown its performance. MFC offers "model-free operation", but the controller design requires…

cs.RO2024

Categorized Grid and Unknown Space Causes for LiDAR-based Dynamic Occupancy Grids

Víctor Jiménez-Bermejo, Jorge Godoy, Antonio Artuñedo +1

Occupancy Grids have been widely used for perception of the environment as they allow to model the obstacles in the scene, as well as free and unknown space. Recently, there has be…

cs.RO2024

Integrating occlusion awareness in urban motion prediction for enhanced autonomous vehicle navigation

Vinicius Trentin, Juan Medina-Lee, Antonio Artuñedo +1

Motion prediction is a key factor towards the full deployment of autonomous vehicles. It is fundamental in order to ensure safety while navigating through highly interactive and co…

eess.SY2023★ 65 cited

Lateral control for autonomous vehicles: A comparative evaluation

Antonio Artuñedo, Marcos Moreno-Gonzalez, Jorge Villagra

The selection of an appropriate control strategy is essential for ensuring safe operation in autonomous driving. While numerous control strategies have been developed for specific…

cs.RO2023

Learning-enabled multi-modal motion prediction in urban environments

Vinicius Trentin, Chenxu Ma, Jorge Villagra +1

Motion prediction is a key factor towards the full deployment of autonomous vehicles. It is fundamental in order to assure safety while navigating through highly interactive comple…

eess.SY2023★ 1 cited

Model-Free Control Design Procedure Applied to Lateral Vehicle Control

M. Moreno-Gonzalez, J. Villagra

Model-Free Control has proven its performance in a wide variety of systems. Although its adequate tuning can be achieved using the knowledge of the system and optimization-based ap…

eess.SY2022

Speed-Adaptive Model-Free Lateral Control for Automated Cars

Marcos Moreno-Gonzalez, Antonio Artuñedo, Jorge Villagra +2

In order to increase the number of situations in which an intelligent vehicle can operate without human intervention, lateral control is required to accurately guide it in a refere…

eess.SY2020★ 1 cited

Model-free control for machine tools

Jorge Villagra, Cédric Join, Rodolfo Haber +1

Cascade P-PI control systems are the most widespread commercial solutions for machine tool positioning systems. However, friction, backlash and wearing effects significantly degrad…

nlin.AO2012

Low Speed Control of an Autonomous Vehicle Using a Hybrid Fractional Order Controller

S. Hassan HosseinNia, Ines Tejado, Blas M. Vinagre +2

Highly non-linear vehicle dynamics plays an important role in autonomous driving systems, especially in congested traffic situations at very low speeds. Due to this fact, accurate…