End-to-end Vision-based Autonomous Driving using Deep Learning

2024

Author: Sergio Paniego

Supervised by: Dr. José María Cañas

Universidad Rey Juan Carlos

2024

Materials

Thesis (PDF)

Thesis (Slides)

Publications

Enhancing end-to-end control in autonomous driving through kinematic-infused and visual memory imitation learning
Neurocomputing, 2024
Sergio Paniego; Roberto Calvo-Palomino; JoséMaría Cañas

Autonomous Driving in Traffic with End-to-End Vision-based Deep Learning
Neurocomputing, 2024
Sergio Paniego; Enrique Shinohara; JoséMaría Cañas

Behavior Metrics: An Open-Source Assessment Tool for Autonomous Driving Tasks
Software X, 2024
Sergio Paniego; Roberto Calvo-Palomino; JoséMaría Cañas

Model Optimization in Deep Learning based Robot Control for Autonomous Driving
IEEE Robotics and Automation Letters (RA-L) & ICRA, 2024
Sergio Paniego; Nikhil Paliwal; JoseMaria Cañas

Open Source Assessment of Deep Learning Visual Object Detection
Sensors. MDPI, 2022
Sergio Paniego Blanco; Vinay Sharma; José María Cañas Plaza

Robust Real-Time Traffic Surveillance with Deep Learning
Computational Intelligence and Neuroscience. Hindawi, 2021
Jessica Fernández Martínez; José María Cañas Plaza; Vanessa Fernández Martínez; Sergio Paniego Blanco

Citation

@article{PaniegoPhD2024,
    title        = {End-to-end Vision-based Autonomous Driving using Deep Learning},
    author       = {Paniego, Sergio},
    school       = {Universidad Rey Juan Carlos},
    year         = {2024},
    address      = {Madrid, Spain},
    url          = {https://sergiopaniego.github.io/phd_thesis/}
}