TY - GEN
T1 - Intelligent and Autonomous Guidance Through a Geometric Model for Conventional Vehicles
AU - Zea, Danny
AU - Toapanta, Alex
AU - Pérez, Víctor Herrera
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Autonomous vehicle
KW - Cyber-physical systems
KW - Geometric model
KW - IoT
UR - https://www.scopus.com/pages/publications/85097646104
U2 - 10.1007/978-3-030-60467-7_7
DO - 10.1007/978-3-030-60467-7_7
M3 - Contribución a la conferencia
AN - SCOPUS:85097646104
SN - 9783030604660
T3 - Advances in Intelligent Systems and Computing
SP - 78
EP - 93
BT - Innovation and Research - A Driving Force for Socio-Econo-Technological Development
A2 - Botto-Tobar, Miguel
A2 - Zambrano Vizuete, Marcelo
A2 - Díaz Cadena, Angela
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Congress on Research and Innovation, CI3 2020
Y2 - 18 June 2020 through 19 June 2020
ER -