Intelligent and Autonomous Guidance Through a Geometric Model for Conventional Vehicles

Danny Zea, Alex Toapanta, Víctor Herrera Pérez

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

1 Cita (Scopus)

Resumen

Cyber-physical systems (CPS) in the automobile industry are facing major challenges related to the use and validation of these CPS, which entails high costs in the implementation and training tests in the physical world, thus limiting research. Therefore, there is a need to shorten the validation times of these CPS with the use of 3D simulation software. This research article proposes to simulate a CPS in the simulation software Webots, with the aim of emulating the autonomous movement of conventional vehicles by integrating a GPS sensor and a compass sensor which provide information on location and orientation, these data are used for the implementation of a geometric model by vectors, the same one that is developed in a controller that allows to take actions on the vehicles in the simulation software in order to emulate an urban traffic. Finally, a series of configurations have been made to evaluate the geometric model, managing to maintain the default speed of 94.194% with curves greater than 90 degrees. In addition, the validation of this system in a real environment through the instrumentation in land vehicles is drawn as future lines.

Idioma originalInglés
Título de la publicación alojadaInnovation and Research - A Driving Force for Socio-Econo-Technological Development
EditoresMiguel Botto-Tobar, Marcelo Zambrano Vizuete, Angela Díaz Cadena
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas78-93
Número de páginas16
ISBN (versión impresa)9783030604660
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento1st International Congress on Research and Innovation, CI3 2020 - Sangolqui, Ecuador
Duración: 18 jun. 202019 jun. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1277
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia1st International Congress on Research and Innovation, CI3 2020
País/TerritorioEcuador
CiudadSangolqui
Período18/06/2019/06/20

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