Onocoy plans to build dense GNSS reference station network based on Web 3.0

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Onocoy has launched a project to provide a dense network of community-powered GNSS reference stations. Based on Web 3.0 and an innovative incentive program, onocoy’s project strives to ensure outstanding positioning data quality suitable for mass market applications such as drones, micro-mobility, robotic lawnmowers or autonomous vehicles.

In the past, ultra-precise GNSS navigation with real-time kinematics (RTK) was only available to high-end markets because of prohibitive costs. With increasing demand for higher accuracies and advances in receiver technology, along with the availability of new GNSS signals, RTK receiver prices have dropped, yet high correction service costs and insufficient business models for mass markets have limited large-scale application of RTK.

Onocoy’s project aims to provide scalable correction services by leveraging Web 3.0 methods and distributed ledger technology. Such technology will facilitate a decentralized approach to the number of GNSS reference stations, 20 times the density as exist now. Ultra-dense distribution of GNSS reference stations will allow global access to instant centimeter-level positioning.

“Utilizing Web 3.0 methods with distributed ledgers and smart contracts, onocoy is poised to create the world’s densest distribution of GNSS reference stations that will enable RTK positioning anywhere,” said Daniel Ammann, initiator of the onocoy project. “By applying an open governance system, the interests of all stakeholders are taken into account in a transparent manner, ensuring that the project effectively addresses the needs of the stakeholders.”

The project will enable users to have the highest quality in GNSS data thanks to rigorous data validation and an innovative incentive scheme for data miners, where high-quality data is rewarded. Costs will be kept at a minimum with cutting-edge technology implementation and the wide user base. As a result, users will have the freedom to shape their solution to fit their market’s needs.