Resumen

LOPEZ CAMPOS, Rafael; ROJAS PEREZ, L. Oyuki  y  MARTINEZ CARRANZA, José. Following and Overtaking: A Policy for Autonomous Car Driving. Comp. y Sist. [online]. 2020, vol.24, n.3, pp.1149-1157.  Epub 09-Jun-2021. ISSN 2007-9737.  https://doi.org/10.13053/cys-24-3-3475.

In this work, we proposed an approach for autonomous driving based on the concept of following and overtaking. This policy controls the vehicle to follow a car ahead of it, and when getting closer, it applies an overtaking step to pass the car and later on to get incorporated to the lane again. For this work, we exploit the robustness of Convolutional Neural Networks for object tracking, which is used to track the car ahead of our autonomous vehicle. We use the pixel position of the tracker in combination with measurements from a laser scanner sensor, as input signals in a PID controller, responsible for driving the vehicle autonomously. We have carried out evaluations of our proposed policy in the Gazebo simulator, whose results indicate the feasibility of our approach.

Palabras llave : Autonomous car; tracking; overtaking; deep learning; autonomous navigation.

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