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Sistema de asistencia a la conducción que integra algoritmos en MATLAB y Simulink con datos de un simulador de realidad virtual (Unreal Engine y Airsim). Utiliza aprendizaje profundo para reconocer señales de tráfico y límites de la calzada, proporcionando retroalimentación en tiempo real a través de una interfaz hombre-máquina (HMI).
The project presents a drone obstacle avoidance system using Microsoft AirSim and the DDPG algorithm, training drones with LIDAR and depth sensors for improved real-time navigation. It compares the implementation of DDPG algorithm with different sensors and their combination.
Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project