Self-Driving Car Autonomous System Overview - Industrial Electronics Engineering - Bachelors' Thesis -
Keywords: 
Autonomous vehicles.
SLAM
LIDAR
GPS/GNSS
Issue Date: 
Oct-2020
Defense Date: 
Jun-2020
Publisher: 
Servicio de Publicaciones. Universidad de Navarra
Citation: 
CASADO HERRÁEZ, Daniel "Self-Driving Car Autonomous System Overview - Industrial Electronics Engineering - Bachelors' Thesis -" Días, J. y Medina, A.Trabajo fin de grado. Universidad de Navarra, Pamplona, 2020
Abstract
Research has made possible a continuous development of autonomous vehicles during the past decade. This project will provide an overview of the main technologies involved in an autonomous car, mentioning specific features that will make it suitable for the Formula Student Driverless competition: LIDAR, camera, radar, GPS, IMU, odometry and their combination using sensor fusion. Secoond, object identification and localization will be explained with practical examples of classical methods, with colos thresholding and descriptor extraction, and modern techniques using convolutional neural networks. Third, the control components of the car will be analysed, regarding the car model, path generation and optimization, and the controller. Finally, some Formula Student unmanned cars wil be presented with the goal of comparing the studied components will real life cases.

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