An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot

Carlos Carranco, Patricio Encalada, Javier Gavilanes, Gabriel Delgado, Marcelo V. Garcia

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

The joint application of robotics and artificial vision for driving a car, it has been a very important study in recent years, since a small loss of concentration can cause the vehicle to deviate from its trajectory and move to the other lane or get off the road. The new applications for autonomous driving of a vehicle provide serenity in the different situations that the driver usually carries out in the routine journey or retention in a driving track. The present scientific article presents an NAO robot software architecture for autonomous driving of an electric car, this approach implements a system to control robot joints, trajectory correction based on people and track detection allowing successfully autonomous navigation.

Idioma originalInglés
Título de la publicación alojadaAdvances in Emerging Trends and Technologies Volume 1
EditoresMiguel Botto-Tobar, Joffre León-Acurio, Angela Díaz Cadena, Práxedes Montiel Díaz
EditorialSpringer
Páginas196-206
Número de páginas11
ISBN (versión impresa)9783030320218
DOI
EstadoPublicada - 1 ene. 2020
Publicado de forma externa
Evento1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019 - quito, Ecuador
Duración: 29 may. 201931 may. 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1066
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019
País/TerritorioEcuador
Ciudadquito
Período29/05/1931/05/19

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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