As artificial intelligence, autonomous driving, robotics, and spatial computing technologies evolve, positioning accuracy requirements have risen from the meter-level of traditional consumer GPS to centimeter-level precision. GEODNET’s high-precision positioning service is recognized as a key bridge between digital and physical worlds, with its application value steadily expanding.
Global Navigation Satellite Systems (GNSS) are already widely used in smartphones, vehicle navigation, and IoT devices. However, conventional GPS signals typically deliver only meter-level accuracy—far from sufficient for drone mapping, autonomous driving, or industrial robotics.
For years, high-precision positioning has been provided mainly by CORS (Continuously Operating Reference Station) networks built by government agencies or commercial operators. While capable of centimeter-level accuracy, these networks come with high construction and maintenance costs and are often limited to specific regions.

GEODNET tackles this challenge through the DePIN model. By incentivizing global users to deploy GNSS reference stations, it transforms traditionally centralized positioning infrastructure into a community-driven, open network.
The core technology behind GEODNET is RTK (Real-Time Kinematics).
When GNSS satellites transmit signals to ground devices, factors like atmospheric delay, satellite orbit errors, and multipath reflection introduce meter-level errors in standard GPS positioning.
GEODNET’s reference stations continuously receive satellite signals and compute real-time error data based on their precise known coordinates. These errors are then converted into correction data and sent to mobile terminals over the internet.
Once drones, robots, or vehicles receive these corrections, their positioning accuracy jumps from meter-level to centimeter-level—meeting the strict requirements of automated systems.
The GEODNET network is built around several key participants.
GNSS reference stations receive satellite signals and generate positioning corrections—they are the data producers of the network.
The more reference stations deployed globally, the wider the network coverage and the better the positioning accuracy.
Rover refers to devices using positioning services—drones, autonomous vehicles, agricultural machinery, robots, and surveying equipment.
These devices achieve higher accuracy position coordinates by receiving correction data from GEODNET.
Data consumers are typically enterprises, developers, or equipment manufacturers accessing high-precision positioning services through GEODNET.
GEOD holders can participate in ecosystem governance, proposing and voting on the network’s future direction.

GEOD is the native utility token of the GEODNET network.
First, GEOD rewards node operators who run GNSS reference stations. By consistently providing high-quality positioning data, these nodes earn token incentives, fueling network expansion.
Second, GEOD can be used to pay for high-precision positioning data services. When enterprises or developers use the GEODNET network, they consume corresponding network resources.
Additionally, GEOD serves a governance function. Token holders can participate in some ecosystem decisions, steering the network toward a more open and decentralized future.
High-precision positioning is a prerequisite for many intelligent systems.
Drones need centimeter-level accuracy for mapping and 3D modeling to ensure reliable data.
Self-driving vehicles require real-time precise positioning for lane detection, path planning, and obstacle avoidance.
Industrial robots, delivery robots, and autonomous mobile robots all depend on high-precision positioning for navigation and path control.
Autonomous tractors, precision seeders, and agricultural drones rely on accurate positioning to boost efficiency.
AR devices and spatial computing platforms need to accurately perceive positional relationships in the physical environment—a high-precision positioning network provides the foundation.
Both GEODNET and traditional RTK services deliver centimeter-level accuracy, but their construction models are fundamentally different.
| Dimension | GEODNET | Traditional RTK Network |
|---|---|---|
| Network Architecture | Decentralized | Centralized |
| Station Deployment | Community-Driven | Built by Enterprises/Governments |
| Incentive Mechanism | Token-Based Rewards | No Open Incentives |
| Coverage Expansion | Global Collaborative Growth | Regional Expansion |
| Cost Structure | Distributed Investment | Centralized Investment |
By lowering the barrier to infrastructure through an open participation model, GEODNET enables more individuals and organizations worldwide to contribute to a global high-precision positioning network.
High-precision networks face several real-world challenges.
First, coverage density directly impacts performance. In areas with few reference stations, positioning accuracy may be limited.
Second, data quality management is critical. The quality and stability of node equipment across different regions require continuous monitoring and optimization.
Finally, the adoption pace of autonomous driving and robotics will influence demand for high-precision positioning services.
GEODNET is a decentralized high-precision positioning network that combines satellite navigation, RTK positioning, and blockchain incentives. Through global collaboration of GNSS reference stations, GEODNET delivers centimeter-level positioning for robots, drones, autonomous vehicles, and surveying equipment.
Unlike traditional centralized RTK networks, GEODNET adopts the DePIN model for infrastructure, enabling global users to participate in network expansion and earn rewards via the GEOD token.
GEODNET is a decentralized high-precision positioning network built on the DePIN model. It provides RTK correction data through global GNSS reference stations to deliver centimeter-level positioning.
GEODNET refers to the entire positioning ecosystem, while GEOD is the native token used to reward nodes, pay for services, and participate in governance.
GEODNET uses RTK technology: reference stations calculate satellite signal errors and send corrections to terminals, improving accuracy from meter-level to centimeter-level.
Drone operators, autonomous driving companies, robot developers, agricultural equipment manufacturers, surveying firms, and spatial computing developers can all use GEODNET’s positioning services.
Yes. GEODNET is a classic DePIN project. Its core infrastructure is a globally distributed GNSS reference station network, driven by token incentives to build real-world infrastructure.
Regular GPS typically provides only meter-level accuracy, while GEODNET uses RTK corrections to achieve centimeter-level precision, making it ideal for robotics, autonomous driving, and high-precision surveying.





