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

Grupo de Investigación en Ingeniería Automotriz, Movilidad y Transporte (GIAUTO)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

7 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 original	Inglés
Título de la publicación alojada	Advances in Emerging Trends and Technologies Volume 1
Editores	Miguel Botto-Tobar, Joffre León-Acurio, Angela Díaz Cadena, Práxedes Montiel Díaz
Editorial	Springer
Páginas	196-206
Número de páginas	11
ISBN (versión impresa)	9783030320218
DOI	https://doi.org/10.1007/978-3-030-32022-5_19
Estado	Publicada - 1 ene. 2020
Evento	1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019 - EC, quito, Ecuador Duración: 29 may. 2019 → 31 may. 2019 https://2019.icaett-conferences.org/

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1066
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019
País/Territorio	Ecuador
Ciudad	quito
Período	29/05/19 → 31/05/19
Dirección de internet	https://2019.icaett-conferences.org/

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Acceder al documento

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

Otros archivos y enlaces

Citar esto

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. En 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).

@inproceedings{fbe6a433b12d4b96beabe6101344e44b,

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.\}",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019 ; Conference date: 29-05-2019 Through 31-05-2019",

year = "2020",

month = jan,

day = "1",

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

language = "English",

isbn = "9783030320218",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "196--206",

editor = "Miguel Botto-Tobar and Joffre Le{\'o}n-Acurio and \{D{\'i}az Cadena\}, Angela and \{Montiel D{\'i}az\}, Pr{\'a}xedes",

booktitle = "Advances in Emerging Trends and Technologies Volume 1",

url = "https://2019.icaett-conferences.org/",

}

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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - An Approach of a Control System for Autonomous Driving Based on Artificial Vision Techniques and NAO Robot

AU - Carranco, Carlos

AU - Encalada, Patricio

AU - Gavilanes, Javier

AU - Delgado, Gabriel

AU - Garcia, Marcelo V.

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

KW - Artificial vision

KW - Autonomous navigation algorithm

KW - NAO robot navigation

KW - Open CV techniques

KW - Track detection

UR - https://www.scopus.com/pages/publications/85075653027

UR - https://www.mendeley.com/catalogue/e7555d00-8742-3480-a272-933d8a1d6486/

U2 - 10.1007/978-3-030-32022-5_19

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

M3 - Conference contribution

AN - SCOPUS:85075653027

SN - 9783030320218

T3 - Advances in Intelligent Systems and Computing

SP - 196

EP - 206

BT - Advances in Emerging Trends and Technologies Volume 1

A2 - Botto-Tobar, Miguel

A2 - León-Acurio, Joffre

A2 - Díaz Cadena, Angela

A2 - Montiel Díaz, Práxedes

PB - Springer

T2 - 1st International Conference on Advances in Emerging Trends and Technologies, ICAETT 2019

Y2 - 29 May 2019 through 31 May 2019

ER -

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. En Botto-Tobar M, León-Acurio J, Díaz Cadena A, Montiel Díaz P, editores, 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

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto