Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods
Integrity monitoring is a key criterion for achieving robust and safe navigation systems. This work explores two integrity frameworks: the classical methods and their respective evolution towards the road vehicle urban scenario, and the artificial intelligence-based methods, where the monitoring pro...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10854211/ |
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| author | Ines Viveiros Helder Silva Yuri Andrade Cristiano Pendao |
| author_facet | Ines Viveiros Helder Silva Yuri Andrade Cristiano Pendao |
| author_sort | Ines Viveiros |
| collection | DOAJ |
| description | Integrity monitoring is a key criterion for achieving robust and safe navigation systems. This work explores two integrity frameworks: the classical methods and their respective evolution towards the road vehicle urban scenario, and the artificial intelligence-based methods, where the monitoring process is accomplished by data analysis and learning techniques. In most cases, machine learning outperforms traditional models, which are often observed under controlled, non-real-time conditions, by employing simple algorithms that may have limited success in real-world applications. An overview is provided on how these algorithms have been used, including a comparison of their characteristics and performances, offering insights into how they can evolve and possible future directions to achieve more reliable solutions. |
| format | Article |
| id | doaj-art-059b271ab6a640fc83db5aa7374e8dbf |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-059b271ab6a640fc83db5aa7374e8dbf2025-01-31T23:04:52ZengIEEEIEEE Access2169-35362025-01-0113202782029610.1109/ACCESS.2025.353465910854211Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI MethodsInes Viveiros0Helder Silva1https://orcid.org/0000-0002-6570-6501Yuri Andrade2https://orcid.org/0009-0009-6904-5710Cristiano Pendao3https://orcid.org/0000-0002-4563-7414Car Multimedia, S.A., Bosch, Braga, PortugalAlgoritmi Center, University of Minho, Guimarães, PortugalCar Multimedia, S.A., Bosch, Braga, PortugalDepartment of Engineering, University of Trás-os-Montes and Alto Douro, Vila Real, PortugalIntegrity monitoring is a key criterion for achieving robust and safe navigation systems. This work explores two integrity frameworks: the classical methods and their respective evolution towards the road vehicle urban scenario, and the artificial intelligence-based methods, where the monitoring process is accomplished by data analysis and learning techniques. In most cases, machine learning outperforms traditional models, which are often observed under controlled, non-real-time conditions, by employing simple algorithms that may have limited success in real-world applications. An overview is provided on how these algorithms have been used, including a comparison of their characteristics and performances, offering insights into how they can evolve and possible future directions to achieve more reliable solutions.https://ieeexplore.ieee.org/document/10854211/Integrity monitoringGNSSmachine learningroad vehicle |
| spellingShingle | Ines Viveiros Helder Silva Yuri Andrade Cristiano Pendao Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods IEEE Access Integrity monitoring GNSS machine learning road vehicle |
| title | Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods |
| title_full | Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods |
| title_fullStr | Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods |
| title_full_unstemmed | Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods |
| title_short | Smart GNSS Integrity Monitoring for Road Vehicles: An Overview of AI Methods |
| title_sort | smart gnss integrity monitoring for road vehicles an overview of ai methods |
| topic | Integrity monitoring GNSS machine learning road vehicle |
| url | https://ieeexplore.ieee.org/document/10854211/ |
| work_keys_str_mv | AT inesviveiros smartgnssintegritymonitoringforroadvehiclesanoverviewofaimethods AT heldersilva smartgnssintegritymonitoringforroadvehiclesanoverviewofaimethods AT yuriandrade smartgnssintegritymonitoringforroadvehiclesanoverviewofaimethods AT cristianopendao smartgnssintegritymonitoringforroadvehiclesanoverviewofaimethods |