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

  • Carlos CarrancoEmail author
  • Patricio Encalada
  • Javier Gavilanes
  • Gabriel Delgado
  • Marcelo V. Garcia
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1066)

Abstract

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.

Keywords

NAO robot navigation Autonomous navigation algorithm Artificial vision Track detection Open CV techniques 

Notes

Acknowledgment

This work was financed in part by Universidad Tecnica de Ambato (UTA) and their Research and Development Department (DIDE) under project 1919-CU-P-2017.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Universidad Politecnica Salesiana, UPSQuitoEcuador
  2. 2.Escuela Politecnica del Chimborazo, ESPOCHRiobambaEcuador
  3. 3.Universidad del Azuay, UDACuencaEcuador
  4. 4.Universidad Tecnica de Ambato, UTAAmbatoEcuador
  5. 5.University of Basque Country, UPV/EHUBilbaoSpain

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