Theme
Teaching Experience

Academic Subjects

Computer Vision / Computer Vision Systems

Teaching assistant jointly with Luis M. Bergasa and Santiago Montiel-Marín

University of Alcalá | 2024 - Present

Undergraduate

Computer Vision aims to introduce students to the study of computer vision and design of digital image processing algorithms. The theoretical concepts explained in the lectures are programmed later in the laboratory in Python with OpenCV.

Main Topics:

  • Computer Vision basics
  • Classic techniques for image processing
  • Classic segmentation techinques

Perception Systems

Teaching assistant jointly with Luis M. Bergasa and Santiago Montiel-Marín

University of Alcalá | 2024 - Present

Graduate

This course introduces students to advanced perception techniques for understanding scenes based on data provided by robot sensors. Both classical and deep learning (DL) approaches using neural networks (NNs) are addressed, primarily from camera data. Theoretical concepts explained are practically validated in the laboratory. The topics covered include: introduction to perception systems, computer vision, NNs for perception, advanced NN architectures and applications, and object tracking. Upon completing the course, students will be able to utilize NNs to solve robotic problems applicable to other relevant engineering domains.

Main Topics:

  • Sensors and sensor fusion
  • Camera geometric model and transformations
  • Neural Networks for perception
  • 3D perception
  • Object tracking

Thesis Supervision

Bachelor's Thesis

Driver monitoring system on low-cost devices using Deep Learning

Marco Fernández Pérez

2024-2025 | Jointly with Luis M. Bergasa

In Progress

Multiple neural networks are employed to detect and classify the driver's state and actions in an autonomous system. The challenges of implementing these models on low-power embedded devices are also examined.

Key Topics:
  • Driver Monitoring systems
  • Deep Learning architectures
  • Autonomous driving