Integrity for High Accuracy GNSS Correction Services

Landon Urquhart, Rodrigo Leandro, Paola Gonzales

Peer Reviewed

Abstract:	The adoption of high-precision GNSS positioning technology in autonomous applications such as automotive, rail and marine industries, has brought with it the need for high integrity and reliability in addition to high accuracy. In most cases for the autonomous industries, high integrity and safety in fact takes priority over achieving the highest accuracy possible. Recently, continental and global-scale GNSS augmentation services have extended coverage and flexibility allowing for the diversity of applications to grow dramatically. Up to now, integrity and safety information have not been a priority for these services or the end user algorithms employing the services. Bringing together the traditional high accuracy GNSS services technology used in legacy systems with the safety-critical technologies and processes required for autonomous applications creates a new technology category. Creating synergy between all different aspects involved such as high-end data processing algorithms, real-time data transmission, end-to-end encryption, and finally functional safety assurance is a challenging task and requires multi-disciplinary approach, deep understanding of GNSS error modeling and risk assessment, resulting in a unique solution to serve the overall autonomous industry. This paper focus on aspects of the design, construction, operation and performance of the first safety-critical, highaccuracy augmentation services created for autonomous applications.
Published in:	Proceedings of the 2019 International Technical Meeting of The Institute of Navigation January 28 - 31, 2019 Hyatt Regency Reston Reston, Virginia
Pages:	543 - 553
Cite this article:	Urquhart, Landon, Leandro, Rodrigo, Gonzales, Paola, "Integrity for High Accuracy GNSS Correction Services," Proceedings of the 2019 International Technical Meeting of The Institute of Navigation, Reston, Virginia, January 2019, pp. 543-553. https://doi.org/10.33012/2019.16709
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