Francisco Rubio Royo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Francisco Rubio Royo has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Alejandro Ruiz-De-La-Cuadra
Systems and Automation Engineering Department, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, 28911 Madrid, Spain
1 shared publication - David Yagüe-Cuevas
Intelligent Systems Lab, University Carlos III of Madrid, 28911 Madrid, Spain
1 shared publication - Fernando Viadero-Monasterio
Mechanical Engineering Department, Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain
1 shared publication - Francisco Miguel Moreno
Intelligent Robotics Lab, Universidad Rey Juan Carlos, 28942 Fuenlabrada, Spain
1 shared publication - Javier García Guzmán
Computer Science Department, Institute for Automotive Vehicle Safety (ISVA), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain
1 shared publication - José Luis San Román
Universidad Carlos III de Madrid, Departamento de Ingeniería Mecánica, Calculation and Transports (MECATRAN), Avenida de la Universidad, 30 (Edificio Sabatini), 28911 Leganés, Spain
1 shared publication
Latest Publications
- Open Access
- 21 July 2021
- Published by MDPI AG in Electronics
- Vol. 10 (15) , 1753
Project ARES: Driverless Transportation System. Challenges and Approaches in an Unstructured Road
The expansion of electric vehicles in urban areas has paved the way toward the era of autonomous vehicles, improving the performance in smart cities and upgrading related driving problems. This field of research opens immediate applications in the tourism areas, airports or business centres by greatly improving transport efficiency and reducing repetitive human tasks. This project shows the problems derived from autonomous driving such as vehicle localization, low coverage of 4G/5G and GPS, detection of the road and navigable zones including intersections, detection of static and dynamic obstacles, longitudinal and lateral control and cybersecurity aspects. The approaches proposed in this article are sufficient to solve the operational design of the problems related to autonomous vehicle application in the special locations such as rough environment, high slopes and unstructured terrain without traffic rules.
- 21 July 2021
- Published by MDPI AG in Electronics
- Vol. 10 (15) , 1753
Open AccessProject ARES: Driverless Transportation System. Challenges and Approaches in an Unstructured Road
The expansion of electric vehicles in urban areas has paved the way toward the era of autonomous vehicles, improving the performance in smart cities and upgrading related driving problems. This field of research opens immediate applications in the tourism areas, airports or business centres by greatly improving transport efficiency and reducing repetitive human tasks. This project shows the problems derived from autonomous driving such as vehicle localization, low coverage of 4G/5G and GPS, detection of the road and navigable zones including intersections, detection of static and dynamic obstacles, longitudinal and lateral control and cybersecurity aspects. The approaches proposed in this article are sufficient to solve the operational design of the problems related to autonomous vehicle application in the special locations such as rough environment, high slopes and unstructured terrain without traffic rules.