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

doi:10.1007/978-3-030-32022-5_19

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Advances in Emerging Trends and Technologies Volume 1
Editors	Miguel Botto-Tobar, Joffre León-Acurio, Angela Díaz Cadena, Práxedes Montiel Díaz
Publisher	Springer
Pages	196-206
Number of pages	11
ISBN (Print)	9783030320218
DOIs	https://doi.org/10.1007/978-3-030-32022-5_19
State	Published - 1 Jan 2020
Externally published	Yes
Event	1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019 - quito, Ecuador Duration: 29 May 2019 → 31 May 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1066
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019
Country/Territory	Ecuador
City	quito
Period	29/05/19 → 31/05/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

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

Access to Document

10.1007/978-3-030-32022-5_19

Cite this

Carranco, C., Encalada, P., Gavilanes, J., Delgado, G., & Garcia, M. V. (2020). An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot. In M. Botto-Tobar, J. León-Acurio, A. Díaz Cadena, & P. Montiel Díaz (Eds.), Advances in Emerging Trends and Technologies Volume 1 (pp. 196-206). (Advances in Intelligent Systems and Computing; Vol. 1066). Springer. https://doi.org/10.1007/978-3-030-32022-5_19

Carranco, Carlos ; Encalada, Patricio ; Gavilanes, Javier et al. / An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot. Advances in Emerging Trends and Technologies Volume 1. editor / Miguel Botto-Tobar ; Joffre León-Acurio ; Angela Díaz Cadena ; Práxedes Montiel Díaz. Springer, 2020. pp. 196-206 (Advances in Intelligent Systems and Computing).

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

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

author = "Carlos Carranco and Patricio Encalada and Javier Gavilanes and Gabriel Delgado and Garcia, {Marcelo V.}",

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year = "2020",

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doi = "10.1007/978-3-030-32022-5_19",

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Carranco, C, Encalada, P, Gavilanes, J, Delgado, G & Garcia, MV 2020, An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot. in M Botto-Tobar, J León-Acurio, A Díaz Cadena & P Montiel Díaz (eds), Advances in Emerging Trends and Technologies Volume 1. Advances in Intelligent Systems and Computing, vol. 1066, Springer, pp. 196-206, 1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019, quito, Ecuador, 29/05/19. https://doi.org/10.1007/978-3-030-32022-5_19

An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot. / Carranco, Carlos; Encalada, Patricio; Gavilanes, Javier et al.
Advances in Emerging Trends and Technologies Volume 1. ed. / Miguel Botto-Tobar; Joffre León-Acurio; Angela Díaz Cadena; Práxedes Montiel Díaz. Springer, 2020. p. 196-206 (Advances in Intelligent Systems and Computing; Vol. 1066).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Carranco C, Encalada P, Gavilanes J, Delgado G, Garcia MV. An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot. In Botto-Tobar M, León-Acurio J, Díaz Cadena A, Montiel Díaz P, editors, Advances in Emerging Trends and Technologies Volume 1. Springer. 2020. p. 196-206. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-32022-5_19

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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