Swift Navigation and Savari partner to bring precise positioning services to V2X applications


Savari, a pioneer of vehicle-to-everything (V2X) communications technology for smart infrastructure, and Swift Navigation, a San Francisco-based tech firm redefining GNSS (Global Navigation Satellite System) and precise positioning technology for autonomous vehicles, today announced a partnership to foster and promote technology to improve position accuracy for V2X applications.

Using Swift Navigation’s Skylark precise positioning service and Starling positioning engine, Savari’s V2X software stack will benefit from improved positioning accuracy, enhancing the reliability of V2X content. This capability of centimetre-accurate precision navigation will open new opportunities in automotive safety applications and traffic management and enhance Advanced Driver Assistance Systems, collaborative manoeuvring and autonomous driving.

Skylark is built for autonomy at scale and delivers lane-level precision, with safety-of-life integrity required by mass-market automotive and autonomous applications. Skylark is a scalable network delivering a continuous stream—via the cloud—of robust, reliable, multi-constellation, multi-frequency corrections, with the security, accuracy and integrity required for safety and autonomy.

The Savari and Swift technology integration brings real-time corrections to the onboard V2X unit, using PC5 or DSRC, to improve position accuracy capabilities. The exchange of information between vehicles helps avoid accidents, and information exchanges to road infrastructure improve traffic efficiency. This communication contains critical information about the position, speed and heading of vehicles. A vehicle needs to trust these incoming messages and the more precise and reliable the information, the more V2X systems will benefit end users as they navigate intersections and avoid obstacles. Customers will also benefit from improved positioning and dead-reckoning performance in challenging environments such as urban canyons, tunnels and parking lots.

New levels of accuracy and application
Over the years, Savari has developed significant experience with V2V, V2I and V2P applications. Those applications have been deployed in the US, Europe and China. Incorporating Skylark and Starling, Savari expects to improve the reliability and accuracy of its current V2X applications and to introduce new advanced applications including collaborative manoeuvring, platooning and autonomous capabilities.

A satellite image of New York City

“Savari’s expertise in C-V2X in-vehicle software and infrastructure platforms puts us in a great position to look at the V2X landscape in a holistic way and deliver value to our customers. With this partnership, we are now able to transmit precise position information to other vehicles, infrastructure and pedestrians,” said Ravi Puvvala, CEO of Savari, Inc. “Given the close integration between the Savari stack and vehicle kinematics systems, the combined Swift and Savari solution will greatly improve system availability and position performance. This solution is scalable and available in the US, Europe and Asia as the coverage area of the Skylark network continues to expand globally.”

“The integration of Swift’s precise positioning solutions into Savari’s V2X stack enables a vehicle to receive trustworthy lane-level accurate position information,” added Joel Gibson, Executive Vice President of Automotive at Swift Navigation. “This will significantly improve the capability of a number of V2X applications, improving road safety and traffic efficiency.”

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Tom has edited Traffic Technology International (TTi) magazine and its Traffic Technology Today website since May 2014. During his time at the title, he has interviewed some of the top transportation chiefs at public agencies around the world as well as CEOs of leading multinationals and ground-breaking start-ups. Tom's earlier career saw him working on some the UK's leading consumer magazine titles. He has a law degree from the London School of Economics (LSE).