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Commissioning and testing of an autonomous ground vehicle

  • Gabriel Gomez*
  • , Rene Jativa
  • , Gustavo Scaglia
  • *Corresponding author for this work
  • Universidad San Francisco de Quito
  • Universidad Nacional de San Juan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An autonomous ground vehicle has been developed to follow a predefined trajectory along a semi-structured environment. For this purpose, a linear algebra-based controller has been designed, taking into account the Ackerman kinematic model. Furthermore, two PID controllers and two one-dimensional Kalman filters have been implemented to allow the proper adjustment of the vehicle's linear velocity and steering angle. A CAN expansion module has also been installed on the main processor, enabling it to communicate with an additional processor that provides information about the surroundings, allowing the main processor to react to external stimuli. Finally, several tests were performed to verify the correct behavior of the controllers and the communication interface.

Original languageEnglish
Title of host publication2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings
EditorsAlvaro David Orjuela-Canon
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331516901
DOIs
StatePublished - 2024
Event2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Pamplona, Colombia
Duration: 17 Jul 202419 Jul 2024

Publication series

Name2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024 - Proceedings

Conference

Conference2024 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2024
Country/TerritoryColombia
CityPamplona
Period17/07/2419/07/24

Keywords

  • Ackerman kinematic model
  • Autonomous vehicle
  • CAN communication protocol
  • PID controller
  • linear algebra-based controller
  • one-dimensional Kalman filter
  • trajectory tracking

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