Avionics has always advanced with leaps in sensors, computing, and connectivity. Yet a quieter, more profound shift is underway. Collaborative mapping initiatives such as the Aeronautical Information Exchange Model (AIXM), led by the European Organisation for the Safety of Air Navigation (EUROCONTROL) and the FAA, together with open standards developed by the Open Geospatial Consortium (OGC), are redefining how airborne and defence communities build, maintain and use trusted data. At the center of this shift is the move toward shared, identity-driven geospatial foundations.
These foundations address a long-standing and largely invisible challenge in avionics programs: interoperability. Without a common way to identify the same physical features across datasets and systems, integration remains fragile, expensive, and slow – creating a persistent friction across the avionics lifecycle, from system integration through operations and sustainment. Despite rapid advances in sensors and computing platforms, the industry still lacks a widely adopted, shared, cross-domain mechanism for connecting data to the same physical places, structures, and transportation features across organizations and platforms.
Modern aerospace and defense missions are demanding. Civil and military aircraft must operate in congested airspace and integrate data from satellites, ground systems, infrastructure providers, and coalition partners. In this environment, avionics is no longer defined only by onboard hardware and flight computers. It is increasingly a software-centric, data-driven architecture in which consistent spatial context and reliable data exchange are foundational to safe and effective operations.
The Data Conflation Tax & Solution
For decades, aviation and defense programs have relied on multiple, often separately managed map sources and reference layers, many maintained in different formats, schemas, and update cycles, requiring navigation databases, terrain models, obstacle datasets, and mission overlays to be individually prepared and aligned before use.
In practice, this fragmentation creates a persistent “conflation tax” — the recurring cost of cleaning, matching, and validating geospatial data before it can be reliably introduced into avionics and mission systems. Aviation authorities and manufacturers must separately manage and verify multiple distinct datasets, including navigation databases, terrain data, and obstacle data, each with its own quality and change-control processes. This burden often appears as duplicated engineering effort, extended integration schedules, repeated verification and validation cycles, and increased risk whenever data sources change.
This cycle of repeated data conflation and custom integration is no longer sustainable as avionics platforms become more connected and software-driven.
Collaborative mapping initiatives address this challenge by treating foundational geospatial data as shared infrastructure rather than isolated assets. The Overture Maps Foundation, for example, is building open, global reference datasets designed specifically to support interoperability across organizations and platforms.
At the center of this approach is the Global Entity Reference System (GERS), an open, persistent, and globally unique identifier framework for real-world entities such as buildings, roads, and places. GERS provides a common “fingerprint” for physical features so that datasets from governments, commercial providers, and internal systems can attach to the same real-world entities without repeated matching and reconciliation.
By replacing repeated spatial joins and custom matching logic with stable entity identifiers, GERS directly eliminates the conflation tax that has long slowed avionics integration.
For avionics programs, this change is immediate and practical. When navigation databases, terrain awareness systems, obstacle data, and mission overlays reference the same underlying entities, interoperability becomes inherent rather than engineered. The integration burden shifts away from constant data harmonization toward system assurance, safety analysis, and capability development.
By allowing avionics software to reference persistent representations of physical entities such as airfields, buildings, runways, roads, and infrastructure, GERS enables data produced by different organizations to interoperate by default.
Unique IDs for Interoperability and Distributed Architectures
Today’s avionics architectures increasingly resemble distributed computing platforms. Flight management systems, synthetic and enhanced vision systems, and mission computers exchange information through modular, service-oriented software. While software-defined avionics and open architectures enable faster upgrades, they also make the consequences of fragmented data more severe.
A primary challenge in next-gen flight control is maintaining alignment between:
- Onboard navigation and terrain databases
- Ground-based planning and dispatch systems
- Real-time sensor inputs
- Third-party intelligence or infrastructure data
When systems rely solely on raw coordinates, small differences in geometry, resolution, or update timing force repeated reconciliation and introduce ambiguity about whether two datasets truly reference the same physical feature. In highly modular avionics environments, these inconsistencies propagate quickly across subsystems, undermining cross-system interoperability and increasing the complexity of system integration and validation.
Entity-based geospatial identifiers provide a structural alternative.
Enhancing Accuracy and Operational Resilience
Navigation accuracy has traditionally been achieved through positioning systems and inertial sensors. Increasingly, operational resilience depends on the ability to correctly associate those measurements with the surrounding physical environment.
Advanced functions such as synthetic and enhanced vision, automated taxi guidance, and operations in degraded visual conditions depend on accurately linking sensor data to runways, buildings, terrain features, and surface infrastructure. Military operations similarly rely on rapidly integrating up-to-date information about temporary landing zones and changing infrastructure.
Open, shared geospatial foundations anchored by GERS make it possible to layer timely information from civil authorities, infrastructure operators, and commercial providers onto a common reference framework. Because all data attaches to the same underlying entities, new datasets can be introduced without re-engineering downstream systems.
For multi-agency and coalition operations, this interoperability is especially important. Shared entity identifiers allow partners to exchange spatial information that is readily consumable by mission systems, rather than requiring bespoke integration projects for each collaboration.
Enabling the Next Generation of Interoperable Airborne Systems
The future of airborne systems, including urban air mobility, optionally piloted aircraft, and unmanned teaming, will be shaped by how effectively platforms integrate information about the physical world. In these environments, the base map is increasingly being viewed as shared infrastructure, with competitive differentiation shifting to the systems, services, and capabilities built on top of it.
Collaborative mapping initiatives serve as a strategic enabler for avionics innovation by removing long-standing barriers to data interoperability and reuse.
Through GERS, the industry now has a practical mechanism to remove the long-standing conflation tax and establish a shared, open reference layer for geospatial interoperability across aerospace and defense ecosystems.
The most important challenge in the geospatial domain is no longer coverage alone. It is interoperability—the ability for diverse systems and organizations to reference the same physical world without ambiguity. For the avionics community, this shift translates directly into safer integration of new data sources, more reliable system behavior, and faster evolution of airborne capabilities.
