OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms

Inertial navigation systems (INS) are widely used in commercial aviation, maritime navigation, and unmanned vehicle guidance. However, these systems are often sensitive, costly, and challenging to access. To address these limitations, an open-source, low-cost platform named INS OpenNavSense has been...

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Main Authors: Pablo Raul Yanyachi, Jorch Mendoza-Chok, Brayan Espinoza-Garcia, Juan Carlos Cutipa Luque, Daniel Yanyachi Aco Cardenas
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:HardwareX
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Online Access:http://www.sciencedirect.com/science/article/pii/S2468067224001159
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author Pablo Raul Yanyachi
Jorch Mendoza-Chok
Brayan Espinoza-Garcia
Juan Carlos Cutipa Luque
Daniel Yanyachi Aco Cardenas
author_facet Pablo Raul Yanyachi
Jorch Mendoza-Chok
Brayan Espinoza-Garcia
Juan Carlos Cutipa Luque
Daniel Yanyachi Aco Cardenas
author_sort Pablo Raul Yanyachi
collection DOAJ
description Inertial navigation systems (INS) are widely used in commercial aviation, maritime navigation, and unmanned vehicle guidance. However, these systems are often sensitive, costly, and challenging to access. To address these limitations, an open-source, low-cost platform named INS OpenNavSense has been developed. This platform is built using FreeRTOS, an open-source real-time operating system (RTOS) that enables the microcontroller to run parallel individual threads (tasks), providing a practical and effective tool for implementing estimation algorithms that compensate for the use of low-cost microelectromechanical systems (MEMS) sensors instead of high-end sensors in professional INS. The main contribution of this work is the introduction of a FreeRTOS-based platform, which facilitates independent management of computational and processing tasks. The platform incorporates accelerometers, gyroscopes, magnetometers, Global Positioning System (GPS) module, and barometer sensors. Sensor data is calibrated and filtered to enhance accuracy, offering researchers a robust and reliable tool for testing their estimation algorithms. To validate this platform, the open-source Mahony library was used for attitude and heading reference system estimation, demonstrating the types of algorithms that can be tested. Tests were conducted with a drone carrying the platform as payload, and results from this low-cost INS were compared to the drone’s INS, showing both similarity and viability as a development platform.
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spelling doaj-art-fd47e0c7324a408daf32e7d571ea4ec92025-01-08T04:53:14ZengElsevierHardwareX2468-06722025-03-0121e00621OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithmsPablo Raul Yanyachi0Jorch Mendoza-Chok1Brayan Espinoza-Garcia2Juan Carlos Cutipa Luque3Daniel Yanyachi Aco Cardenas4Corresponding author.; Instituto de Investigacion Astronomico y Aeroespacial Pedro Paulet, Universidad Nacional de San Agustin de Arequipa, 04000, Arequipa, PeruInstituto de Investigacion Astronomico y Aeroespacial Pedro Paulet, Universidad Nacional de San Agustin de Arequipa, 04000, Arequipa, PeruInstituto de Investigacion Astronomico y Aeroespacial Pedro Paulet, Universidad Nacional de San Agustin de Arequipa, 04000, Arequipa, PeruInstituto de Investigacion Astronomico y Aeroespacial Pedro Paulet, Universidad Nacional de San Agustin de Arequipa, 04000, Arequipa, PeruInstituto de Investigacion Astronomico y Aeroespacial Pedro Paulet, Universidad Nacional de San Agustin de Arequipa, 04000, Arequipa, PeruInertial navigation systems (INS) are widely used in commercial aviation, maritime navigation, and unmanned vehicle guidance. However, these systems are often sensitive, costly, and challenging to access. To address these limitations, an open-source, low-cost platform named INS OpenNavSense has been developed. This platform is built using FreeRTOS, an open-source real-time operating system (RTOS) that enables the microcontroller to run parallel individual threads (tasks), providing a practical and effective tool for implementing estimation algorithms that compensate for the use of low-cost microelectromechanical systems (MEMS) sensors instead of high-end sensors in professional INS. The main contribution of this work is the introduction of a FreeRTOS-based platform, which facilitates independent management of computational and processing tasks. The platform incorporates accelerometers, gyroscopes, magnetometers, Global Positioning System (GPS) module, and barometer sensors. Sensor data is calibrated and filtered to enhance accuracy, offering researchers a robust and reliable tool for testing their estimation algorithms. To validate this platform, the open-source Mahony library was used for attitude and heading reference system estimation, demonstrating the types of algorithms that can be tested. Tests were conducted with a drone carrying the platform as payload, and results from this low-cost INS were compared to the drone’s INS, showing both similarity and viability as a development platform.http://www.sciencedirect.com/science/article/pii/S2468067224001159Development platformFreeRTOSGlobal positioning systemInertial navigation systemLow-costMicro-electromechanical
spellingShingle Pablo Raul Yanyachi
Jorch Mendoza-Chok
Brayan Espinoza-Garcia
Juan Carlos Cutipa Luque
Daniel Yanyachi Aco Cardenas
OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms
HardwareX
Development platform
FreeRTOS
Global positioning system
Inertial navigation system
Low-cost
Micro-electromechanical
title OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms
title_full OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms
title_fullStr OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms
title_full_unstemmed OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms
title_short OpenNavSense platform: A low-cost, open-source inertial navigation system for the evaluation of estimation algorithms
title_sort opennavsense platform a low cost open source inertial navigation system for the evaluation of estimation algorithms
topic Development platform
FreeRTOS
Global positioning system
Inertial navigation system
Low-cost
Micro-electromechanical
url http://www.sciencedirect.com/science/article/pii/S2468067224001159
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