SkyGrid

Modeling flight plan uncertainty usually creates a clear operational bottleneck. Strategic planners must choose between slow Monte Carlo simulations and simplified models that overstate risk and restrict airspace capacity.

Repurposing a linear Kalman Filter to model continuous Flight Management System (FMS) corrections fixes this gap. The framework generates realistic uncertainty profiles in under a second, eliminating over-conservative estimates without sacrificing accuracy.

Learn more about faster, high-capacity strategic flight planning: https://www.skygrid.com/a-faster-way-to-model-flight-plan-uncertainty/

AIAA - The American Institute of Aeronautics and Astronautics

A Faster Way to Model Flight Plan Uncertainty - SkyGrid A Kalman Filter-based framework models continuous FMS corrections to deliver fast, realistic flight plan uncertainty without restricting airspace capacity.

Testing how autonomous eVTOLs handle real airspace traffic, active air traffic controllers, and unexpected weather is critical to getting these aircraft into the sky safely.

In our recent simulation with Wisk Aero and the Federal Aviation Administration Tech Center, we tested uncrewed aircraft operations in complex Houston airspace alongside real air traffic control environments. SkyGrid provided the fleet management software and secure connectivity needed to give everyone involved a single, shared view of the airspace.

Read more about the simulation: https://wisk.aero/newsroom/unlocking-the-sky-how-our-latest-faa-tech-center-simulation-advances-autonomous-air-mobility

We recently shared our latest work with the Federal Aviation Administration's William J. Hughes Technical Center for Advanced Aerospace and SkyGrid, testing autonomous eVTOL operations in complex Houston airspace.

By connecting our Gen 6 aircraft in the Autonomy Lab directly with the FAA's National Airspace System (NAS) "digital twin," we tested real-world conditions, evaluating how autonomous eVTOLs interact with active air traffic controllers, existing NAS traffic, and challenging weather scenarios.

The work is helping us refine how autonomous aircraft can safely integrate into the NAS and informing the tools and procedures needed for future commercial operations.

Learn more about the simulation and how this work is helping advance autonomous flight in our latest blog: https://bit.ly/4gWEVnV

Why is GNSS signal integrity one of the biggest safety hurdles for Advanced Air Mobility?

Autonomous aircraft operate at low altitudes in dense urban environments and depend on satellite positioning, making them vulnerable to two signal threats:
1️⃣ Jamming: Floods the signal with noise, forcing a complete loss of positioning.
2️⃣ Spoofing: Broadcasts false location data, which spreads across automated flight systems without a pilot to catch the error.

As part of the VARIANT Project, Dimetor explores how we can solve this by leveraging existing telecom networks to monitor interference in real time. By integrating this detection data directly into SkyGrid's airspace management systems, we can connect the full chain from threat alerting to flight planning and contingency management, ensuring safe operations even when GNSS signals are degraded.

👉 Read more: https://www.dimetor.com/dimetor-joins-boeing-aerospace-spain-led-advanced-air-mobility-project-to-address-gnss-spoofing-and-jamming/

Dimetor joins Boeing Aerospace Spain led advanced air mobility project to address GNSS spoofing and jamming - Dimetor Boeing Aerospace Spain, SkyGrid and Dimetor GmbH will collaborate on a three-year project to address exactly this challenge. The collaboration will integrate

To safely integrate high-density Advanced Air Mobility (AAM) operations into shared airspace, flight planning systems need reliable estimates of position and arrival time variance under real-world conditions.

In our technical paper, "Kalman Filtering Based Flight Management System Modeling for AAM Aircraft," SkyGrid’s autonomy engineers present an updated Kalman Filter model that realistically simulates how an aircraft's flight management system corrects errors along its route. By adapting filter trust based on waypoint progress and control inputs, the approach improves arrival time predictions and supports automated flight plan validation.

Read the paper: https://arc.aiaa.org/doi/10.2514/6.2026-4076

AIAA - The American Institute of Aeronautics and Astronautics

Kalman Filtering Based Flight Management System Modeling for AAM Aircraft | AIAA AVIATION Forum Advanced Air Mobility (AAM) operations are planned to utilize strategic flight planning services that predict temporal uncertainties to validate flight plans against hazards such as weather cells, restricted airspaces, and CNS disruption areas. This paper presents a Kalman Filter-based uncertainty p...

Traditional aviation safety frameworks were designed for onboard systems, not for the cloud-connected architectures powering Advanced Air Mobility. As Third-Party Service Providers (TSPs) handle safety-critical data off-board, relying solely on legacy standards leaves key operational gaps.

SkyGrid proposes using an Operational Risk Assessment (ORA) to bridge this gap. By evolving legacy frameworks to evaluate the entire ecosystem, an ORA can help assess TSPs as critical safety stakeholders from early conceptual design through deployment.

🔗 Learn more in our ORA one-pager:https://www.skygrid.com/wp-content/uploads/2026/09/ORA-One-Pager.pdf

www.skygrid.com

Strategic and tactical deconfliction should be unified under a single modular architecture. Building these systems independently creates a critical gap where long-range planning and real-time maneuvering clash, leading to dangerous deadlocks in high-density airspace.

A unified Conflict Detection and Resolution (CDR) framework addresses this by continuously verifying trajectories across all planning layers. This approach proactively resolves vertiport congestion and in-flight conflicts, eliminating capacity violations and reducing the number of advisories issued.

Learn more about building scalable AAM deconfliction: https://www.skygrid.com/the-case-for-modular-cdr-building-aam-deconfliction-that-scales/

AIAA - The American Institute of Aeronautics and Astronautics

The Case for Modular CDR: Building AAM Deconfliction that Scales - SkyGrid A modular CDR framework unifies strategic and tactical planning to solve AAM congestion, eliminate contradictory advisories, and scale safely.