Rubén Izquierdo

About Rubén Izquierdo

Rubén Izquierdo, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Universidad de Alcalá, specializes in the field of Intelligent Transport Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario

Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference

Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving

Human-vehicle interaction for autonomous vehicles in crosswalk scenarios: Field experiments with pedestrians and passengers

Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving

Goal-Oriented Transformer to Predict Context-Aware Trajectories in Urban Scenarios

Sim-to-real transfer and reality gap modeling in model predictive control for autonomous driving

Vehicle trajectory prediction on highways using bird eye view representations and deep learning

Rubén Izquierdo Information

University

Position

PhD PhD in Information and Communication Technologies

Citations(all)

603

Citations(since 2020)

530

Cited By

197

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

21

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Rubén Izquierdo Skills & Research Interests

Intelligent Transport Systems

Top articles of Rubén Izquierdo

Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario

arXiv preprint arXiv:2312.07606

2023/12/11

Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference

arXiv preprint arXiv:2312.06336

2023/12/11

Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving

arXiv preprint arXiv:2312.06306

2023/12/11

Human-vehicle interaction for autonomous vehicles in crosswalk scenarios: Field experiments with pedestrians and passengers

2023/9/24

Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving

2023/9/24

Rubén Izquierdo
Rubén Izquierdo

H-Index: 8

Goal-Oriented Transformer to Predict Context-Aware Trajectories in Urban Scenarios

Engineering Proceedings

2023/7/5

Sim-to-real transfer and reality gap modeling in model predictive control for autonomous driving

Applied Intelligence

2023/5

Rubén Izquierdo
Rubén Izquierdo

H-Index: 8

David Fernández Llorca
David Fernández Llorca

H-Index: 24

Vehicle trajectory prediction on highways using bird eye view representations and deep learning

Applied Intelligence

2023/4

Testing predictive automated driving systems: Lessons learned and future recommendations

IEEE Intelligent Transportation Systems Magazine

2022/5/24

Video action recognition for lane-change classification and prediction of surrounding vehicles

IEEE Transactions on Intelligent Vehicles

2022/4/4

Desarrollo de un sistema HMI interactivo con comunicación audiovisual para vehículos autónomos

2022

WiFiNet: WiFi-based indoor localisation using CNNs

Expert Systems with Applications

2021/9/1

CAPformer: pedestrian crossing action prediction using transformer

2021/8/24

Vehicle lane change prediction on highways using efficient environment representation and deep learning

IEEE Access

2021/8/23

Predicting vehicles trajectories in urban scenarios with transformer networks and augmented information

2021/7/11

Ignacio Parra
Ignacio Parra

H-Index: 20

Rubén Izquierdo
Rubén Izquierdo

H-Index: 8

Prediction of vehicle intentions for advanced autonomous driving

2021

License plate corners localization using CNN-based regression

2020

The prevention challenge: How good are humans predicting lane changes?

2020/10/19

Rubén Izquierdo
Rubén Izquierdo

H-Index: 8

Ignacio Parra
Ignacio Parra

H-Index: 20

Two-stream networks for lane-change prediction of surrounding vehicles

2020/9/20

See List of Professors in Rubén Izquierdo University(Universidad de Alcalá)

Co-Authors

academic-engine