Academic Subjects
Computer Vision / Computer Vision Systems
Teaching assistant jointly with Luis M. Bergasa and Santiago Montiel-Marín
University of Alcalá | 2024 - Present
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
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
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