Resumen
An inertial navigation system has been developed to obtain information on the orientation and position of an unmanned surface vehicle (USV). The prototype consists of a GPS and low-cost microelectromechanical sensors, such as accelerometers, gyroscopes and magnetometers. In order to determine the attitude and heading, a sensor fusion algorithm is proposed using the standard Kalman filter, which runs on the MSP432P401R microcontroller with ARM Cortex-M4F 32-bit architecture. The experimental results in the laboratory and at sea showed the viability of the system.
Idioma original | Inglés |
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Título de la publicación alojada | 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings |
Editores | Jose David Cely Callejas |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
ISBN (versión digital) | 9781538683729 |
DOI | |
Estado | Publicada - 5 dic. 2018 |
Evento | 9th IEEE ANDESCON, ANDESCON 2018 - Cali, Colombia Duración: 22 ago. 2018 → 24 ago. 2018 |
Serie de la publicación
Nombre | 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings |
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Conferencia
Conferencia | 9th IEEE ANDESCON, ANDESCON 2018 |
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País/Territorio | Colombia |
Ciudad | Cali |
Período | 22/08/18 → 24/08/18 |
Nota bibliográfica
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