Implementación de un robot móvil para el control de tránsito y movilidad usando visión artificial

Abstract

The general objective of the degree project is to implement a mobile robot for traffic and mobility control using artificial vision. A Raspberry Pi will be used as the base of the robot, along with various robotics materials, to develop a radio controlled navigation system. An advanced vehicle and pedestrian recognition algorithm will be designed using computer vision techniques, allowing the robot to identify and classify objects in its environment. In addition, a fuzzy logic for decision making will be implemented, allowing the robot to autonomously manage the passage of vehicles and pedestrians, improving traffic flow and safety. With this approach, the project aims to improve the functionality, control and visualization of the interactive module, taking advantage of a variety of technologies to achieve a comprehensive and efficient solution for urban traffic management.