Tag: Airbus

  • Cleared for the dirt: How robotic rovers are revolutionizing military runway assessment

    Cleared for the dirt: How robotic rovers are revolutionizing military runway assessment

    Tactical air-lifters such as the Airbus A400M, Lockheed C-130 and Boeing C-17 require precise runway roughness assessments to operate safely on unpaved surfaces. An autonomous rover system developed at the Royal Military Academy of Belgium uses RTK/PPK GNSS positioning and sensor fusion to deliver centimeter-level height measurements, drastically reducing survey time. The system provides a practical solution for rapid runway certification across military operations and humanitarian response missions.

    Unpaved runway assessment

    The Airbus A400M Atlas, the Lockheed C-130 Hercules and the Boeing C-17 Globemaster III routinely operate from unpaved runways in harsh environments far from established infrastructure. Before these aircraft can safely land, flight crews require accurate runway roughness data to assess whether the surface meets operational limits. This assessment relies on precise, quantitative measurements of the runway’s surface characteristics — a task that traditionally requires specialized survey teams and hours of manual work with GNSS equipment, resources that are often unavailable in high-tempo tactical or emergency response scenarios.

    The challenge is particularly acute because different aircraft have specific roughness tolerances. The A400M uses an equivalent bump height (EBH) methodology, while Boeing employs its Boeing Bump Criteria. The EBH requires vertical measurement precision of ±1 cm over wavelengths ranging from 5 to 100 meters. Meeting these stringent requirements with rapid, field-deployable methods has remained an operational gap — until now.

    At the Royal Military Academy (RMA) of Belgium, we developed a novel solution to this critical challenge. Our system features a rugged, autonomous unmanned ground vehicle that can rapidly perform a centimeter-accurate runway assessment with minimal user intervention. It represents a fusion of robotics, geodesy, and advanced GNSS techniques, designed specifically for ease of use by military teams in the field. The system is called Belgian Navigational Surface Inspector (BENSI).

    FIGURE 1 shows the BENSI system during a mission at a tactical landing zone with the A400Min the background. FIGURE 2 shows the BENSI system being configured by the operator during a landing preparation.

    Figure 1 The autonomous UGV (BENSI) during a mission at a tactical landing zone with the A400M Atlas in the background.
    Figure 1 The autonomous UGV (BENSI) during a mission at a tactical landing zone with the A400M Atlas in the background.
    Figure 2 The BENSI system being configured by the operator 
during the beach landing preparation at Rømø, Denmark.
    Figure 2 The BENSI system being configured by the operator
    during the beach landing preparation at Rømø, Denmark.

    This article details the system’s architecture, the integration of multiple technologies that enable the stringent precision required achieved by GNSS and sensor fusion, self-driving capabilities and its successful deployment in demanding field tests. We present a military graded solution for ensuring tactical airlift safety, enabled by modern, accessible GNSS technology and robotics.

    Quantifying runway roughness

    Deployable Air Traffic Management (DATM) and Pathfinders are responsible for ensuring the safety of aircraft operations on unpaved runways. They are tasked with assessing the quality of the runway and the Runway Safety Area (RSA) to ensure that the aircraft can land safely. The pilots analyze their assessment and take the final decision to land.

    FIGURE 3 is an example of a landing zone having an unpaved runway that needs to be evaluated for landing. FIGURE 4 overviews the landing zone by mapping and indicating features of the runway that need to be considered by the pilots. An important aspect of the DATM’s assessment is the runway’s roughness, which is quantified by the EBH.

    Figure 3  An example of a tactical landing zone.
    Figure 3 An example of a tactical landing zone.

    For modern military transport aircraft operations, runway roughness assessment is a critical safety parameter. Both major manufacturers — Airbus with its EBH methodology and Boeing with its Boeing Bump Criteria — have developed sophisticated approaches to characterize runway longitudinal roughness profiles. These methods analyze height variations over wavelengths ranging from 5 to 100 meters, requiring vertical measurement precision of ±1 cm. This rigorous assessment is essential to reduce aircraft structural fatigue, minimize maintenance costs, prevent exceedance of design limit loads, and ultimately ensure safe operations. For the A400M specifically, Airbus requires EBH characterization to determine operational limitations of the aircraft’s maximum payload.

    Figure 4  A typical mapping of a landing zone showing a 
condensed overview of DATM’s assessment.
    Figure 4 A typical mapping of a landing zone showing a
    condensed overview of DATM’s assessment.

    Traditionally, achieving this precision would involve a painstaking survey conducted by specialists using a GNSS survey system mounted on a trolley requiring human guidance along the measurement tracks totaling more than 3 km of length. For military units like the DATM and Pathfinder teams, who often are the first on the ground, this is impractical. They need a system that is rapid, reliable, simple to operate without a surveying background, and robust enough for field conditions.

    A GNSS-Centric design

    Our solution is a two-part system designed for rapid deployment: a portable GNSS base station and autonomous rover. FIGURE 5 shows a schematic overview of the system architecture.

    Figure 5  A schematic overview of the system architecture, showing the data (NMEA) and correction (RTCM) flow between the base station, rover and operator.
    Figure 5 A schematic overview of the system architecture, showing the data (NMEA) and correction (RTCM) flow between the base station, rover and operator.

    The base station: The system’s anchor

    Housed in a compact, portable case, weighing just 2 kg including tripod and radios (as seen in FIGURE 2), it serves as the operational hub. Once set up on its lightweight tripod, it performs an automatic survey to establish its precise coordinates. Its primary role for positioning is to generate and transmit Radio Technical Commission for Maritime Services (RTCM) 3.x correction data to the rover via a robust long-range radio link (operating in the868/900MHz bands).

    Beyond its GNSS duties, the base station acts as a self-contained command center. It hosts a Wi-Fi hotspot and a web server, allowing the operator to connect with any standard tablet, smartphone or laptop. This web interface is used for mission planning, command and control of the rover, and real-time monitoring of survey progress. At the end of the mission, the operator can download the EBH data and additional quality metrics of the runway for analysis such as a summary report of the complete measurement, a gradient analysis, and a runway map highlighting zones with bumps or troughs exceeding the specified criteria.

    An autonomous, all-terrain surveyor

    The UGV is a lightweight but rugged platform chosen for its durability and open-source software architecture, which allows for deep integration of our custom navigation and control algorithms. The rover has been designed to be able to traverse rough terrain and survive in harsh weather conditions. The UGV consists of two parts, the chassis (11 kg) and the processing payload(8 kg). The heart of the rover is the processing payload, which contains a sophisticated sensor suite designed for high-precision localization and navigation.

    ■ Primary GNSS receiver. A high-grade, multi-constellation Septentrio receiver with a Calian/Tallysman GNSS antenna provides the main source of positioning information.

    ■ GNSS heading. A second Calian/Tallysman GNSS antenna, set up in a moving-base configuration, provides degree-accurate true heading, which is critical for maintaining precise track-following.

    ■ Inertial measurement unit (IMU). An industrial-grade Xsens IMU provides high-frequency data on the rover’s orientation and acceleration, bridging any brief GNSS outages, providing the sensor fusion algorithm with high-rate data, and helping to smooth the final trajectory.

    ■  Radio communication. The radio modules provide robust long-range communication with the base station operating in the 868/900MHz bands.

    ■ Wheel odometry. Encoders on the rover’s wheels provide continuous velocity information, acting as a crucial input for the sensor fusion algorithm. All sensor data is fed into an onboard mini-PC running the Robot Operating System, a flexible framework for developing robotic applications.

    Path to precision

    Achieving centimeter-level accuracy on a moving platform in challenging environments requires more than just a good GNSS receiver. Our approach is built on a robust foundation of sensor fusion and a dual processing strategy using real-time kinematic and post-processing kinematic (RTK/PPK). An extended Kalman filter (EKF) is at the core of the rover’s navigation software. The EKF continuously fuses data from the GNSS receivers, IMU and wheel encoders to produce a single, high-integrity “pose” (position and orientation) estimate.

    For runway surveying, we employ two modes of GNSS processing:

    RTK. During the mission, the rover uses the RTCM corrections from the base station to compute a centimeter-accurate position in real-time. This is used for autonomous navigation, allowing the rover to follow its generated mission plan configured by the operator with high precision.

    PPK. While RTK provides excellent real-time results, the most demanding applications benefit from post-processing. Both the rover and the base station log all raw GNSS observables during the mission. After the survey is complete, these raw data files are processed together which allows for more rigorous quality control and can often resolve ambiguities or fix cycle slips that were not solvable in real-time, providing the definitive, highest accuracy trajectory for the EBH analysis.

    A final crucial step is extracting the height profile for each EBH track and subsequently transforming and reformatting this data for Airbus’ AssurTool. The step also is automated and carried out by the software. It takes care of the following:

    ■ The conversion of the geodetic coordinates (latitude, longitude, and height above the World Geodetic System 1984 [WGS84] ellipsoid) to Universal Transverse Mercator plane coordinates and orthometric heights (heights relative to a geoid).

    ■ The extraction of the height profile of each EBH track.

    ■ Quality control of the precision of the height profile flags tracks that do not meet the required accuracy or show inconsistencies.

    ■ The transformation and reformatting of this data for Airbus’ AssurTool.

    Self-driving capabilities

    The rover uses a navigation framework with a custom planner for generating smooth, curved paths that match the rover’s turning capabilities and steers the rover using a controller based on the Regulated Pure Pursuit tracking algorithm. A specialized lane-generation algorithm creates optimal survey patterns from runway corner points, with behavior-tree recovery strategies for robust operation.

    FIGURE 6 shows a typical EBH survey pattern generated from the mission plan and executed by the rover and a depiction of how the rover plans the smooth curved path between the lanes.

    Figure 6 Features of the navigation framework used for planning the EBH tracks. (a) A typical EBH survey pattern generated from the mission plan and executed by the rover. (b) A depiction of how the rover plans the smooth curved path between the lanes.
    Figure 6 Features of the navigation framework used for planning the EBH tracks. (a) A typical EBH survey pattern generated from the mission plan and executed by the rover. (b) A depiction of how the rover plans the smooth curved path between the lanes.

    A streamlined workflow

    The system was designed from the ground up to be operated by non-surveyors. A typical mission workflow is as follows:

    Setup. The operator places the base station on a tripod near the runway and unfolds the rover. The entire hardware setup takes less than 10 minutes.

    Mission planning. Using a ruggedized tablet (or any other device with a web browser), the operator connects to the base station’s WiFi and opens the web interface. They define the runway by entering the coordinates of the runway’s corners. The software automatically calculates the EBH lines based on the required spacing. FIGURE 7a shows the user interface displayed on a tablet, showing the EBH mission configuration page.

    Figure 7a The user interface of the web application.
    Figure 7a The user interface displayed on a tablet, showing the EBH mission configuration.

    Execution. The operator initiates the mission, and the UGV autonomously navigates to the start of the first line and begins the survey. The operator can monitor and control the rover’s progress, position, and GNSS quality status in real-time on the web interface. FIGURE 7b shows the user interface displayed on a tablet, showing the rover control, the real-time status of the UGV and the measurements.

    Figure 7b The tablet showing the rover control and the real-time status of the UGV and the EBH results.
    Figure 7b The tablet showing the rover control and the real-time status of the UGV and the EBH results.

    Data retrieval. Upon completion, the rover returns to the base station. The system automatically processes the data, producing downloadable files formatted for direct import into Airbus’ AssurTool and additional useful quality metrics for the operator. These consist of a summary report of the complete measurement, a gradient analysis, and a runway map highlighting zones with bumps or troughs exceeding the specified criteria.

    Analyzing the data

    Once the rover completes its survey and returns to the base station, the system automatically initiates post-processing of the collected data. This critical step validates the quality of every measurement and generates operator-ready outputs for both Airbus’ AssurTool and field assessment.

    The post-processing pipeline applies rigorous quality criteria to each survey line. Lines failing these criteria are automatically flagged with detailed diagnostics explaining the cause.

    For operational decision-making, the system generates a comprehensive visualization report. The operators receive planimetric maps showing the height profile plots and a detailed gradient analysis identifying critical slope transitions. A key capability is the generation of a 3D interpolated height map of the entire runway surface. This color-coded surface map provides an intuitive view of the runway’s topography, clearly highlighting zones with excessive bumps, depressions, or gradient anomalies that facilitates the assessment of the runway.

    These analysis reports are accessible through the web interface for immediate download to the operator’s tablet. FIGURES 8 shows examples of the visualization report.

    Figure 8a 2D height and gradient contour maps of two surfaces generated by the BENSI system. (a) A height contour map of two landing zone (LZ) surfaces automatically generated by the BENSI system.
    Figure 8a 2D height and gradient contour maps of two surfaces generated by the BENSI system. (a) A height contour map of two landing zone (LZ) surfaces automatically generated by the BENSI system.
    Figure 8b  A gradient contour map of two LZ surfaces automatically generated by the BENSI system.
    Figure 8b A gradient contour map of two LZ surfaces automatically generated by the BENSI system.

    Proven performance

    The UGV system is a mature prototype that has been validated in numerous international military exercises. It has successfully surveyed tactical landing zones in varied environments, from the desert strips of Yuma, Arizona, and 29 Palms, California, to the sandy shores of Denmark and fields in France, Portugal and Italy. In all tests, the system has consistently delivered the sub-centimeter height precision required for A400M EBH certification.

    2025 Rømø Head-to-Head Trial. During beach-landing preparations in August 2025, our autonomous rover and a manual system (human-guided trolley) using a professional GNSS survey system ran side-by-side on a 1 000m landing zone on the Rømø beach in Denmark. The BENSI solution matched the manual survey system height profile with a standard deviation of 8mm and demonstrated significantly better lane-tracking consistency (mean deviation: 8,5 cm vs 16 cm and deviation error: 3 cm vs 9 cm). FIGURE 9 shows the height-error distribution between the BENSI system and the manual survey system at Rømø, Denmark.

    Figure 9  Height-error distribution between the BENSI system and the manual survey system at Rømø, Denmark.
    Figure 9 Height-error distribution between the BENSI system and the manual survey system at Rømø, Denmark.

    Rapid humanitarian response

    While BENSI was conceived for tactical airlift operations, its capabilities extend naturally to humanitarian assistance and disaster-relief missions. Belgium’s civil rapid-response unit Belgian First Aid & Support Team (B-FAST) routinely deploys doctors, paramedics, firefighters, and other professionals worldwide following earthquakes, floods, or epidemics. Leveraging the A400M’s ability to land on short, unpaved strips away from congested or contested airfields drastically cuts transit times — but only if the runway’s condition can be certified quickly.

    The BENSI systems enables a DATM team to quickly relay an EBH report and awareness map of the immediate area to the inbound aircrew. This rapid assessment unlocks critical early access for life-saving medical supplies and personnel when every hour counts.

    Conclusion and the Road Ahead

    The fusion of autonomous robotics and high-precision GNSS offers a powerful solution to the critical challenge of certifying unpaved runways. Our system saves valuable time, reduces the burden on specialized personnel, and provides objective, high-quality data that directly enhances the safety of tactical airlift operations.

    Development is ongoing. Our current efforts focus on several key areas:

     Improving navigation in degraded environments. We are exploring tighter coupling between the GNSS and IMU to provide more robust navigation through areas of poor satellite visibility.

    ■ RSA assessment. We are experimenting with integrating a lidar sensor to generate a 3D point cloud of the runway and its surroundings. This will automate obstacle detection and the assessment of the RSA, though we are carefully working to mitigate potential electromagnetic interference from the lidar that can interfere with GNSS reception.

    ■ Handheld corner point device. To further improve absolute accuracy, we are developing a small, handheld device that uses RTK corrections from the base station, allowing operators to mark the runway corners with centimeter-level precision.

    This project demonstrates a clear application of GNSS technology in a demanding military aviation context, with broader implications for any field requiring rapid and precise surface profiling, from civil engineering to disaster response.

    Development Team

    ■ Pieterjan De Meulemeester ([email protected]) is a Ph.D. research engineer at the RMA of Belgium.

    ■ Alain Muls ([email protected]) is professor at the RMA of Belgium. He teaches the courses Military Satellite Based Positioning andMilitary Geodesy.

    ■ Jarno Van Audenhoven ([email protected]) is a Robotics Development and Research Engineer at the RMA of Belgium.

    ■ Pascal De Kimpe is a technician at the RMA of Belgium.

    ■ The BENSI system was developed by the R&D team at the RMA of Belgium in collaboration with Belgian Defense. The system has been successfully field-tested during international military exercises and is being evaluated for operational deployment.

    All photos courtesy of BENSI Development Team of the Royal Military Academy of Belgium

  • Airbus, Shield AI complete first autonomous logistics connector helicopter flight

    Airbus, Shield AI complete first autonomous logistics connector helicopter flight

    Airbus U.S. Space & Defense completed its first autonomous helicopter test flight using Shield AI’s Hivemind autonomy package in Grand Prairie, Texas. The flight represents a significant step forward in developing the MQ-72C Lakota Connector for the U.S. Marine Corps Aerial Logistics Connector program.

    The test utilized an H145 helicopter to refine mission technology, accelerate development timelines and reduce costs and technical risks. Engineers integrated Hivemind into the aircraft in less than two months, showcasing the system’s modular and platform-agnostic design.

    During the test, Shield AI’s Hivemind autonomy software controlled the H145 directly while collaborating with Airbus’ Helionix system. The integrated software managed the aircraft’s mission systems, executing automated takeoff, landing and other test procedures without pilot input.

    The tested software will be incorporated into the future MQ-72C helicopter design to meet Marine Corps requirements for the ALC program. The MQ-72C Logistics Connector is being developed as an unmanned version of the UH-72 Lakota, a multi-mission platform used across various operations.

    Shield AI‘s software expands the platform’s capabilities through autonomous operations across logistics and operational scenarios. Future test activities and demonstrations will scale the MQ-72C’s autonomy level, leading toward unmanned operations in contested logistics environments.

    Airbus U.S. plans to apply mission autonomy software to add autonomous capabilities to other helicopter variants beyond the MQ-72C. The company is in the second year of the Aerial Logistics Connector Middle Tier of Acquisition Rapid Prototyping Program, which provides aircraft prototypes for operational demonstrations and experiments.

    In May 2024, Naval Air Systems Command awarded Airbus U.S. Space & Defense a Phase I Other Transaction Authority through the Naval Aviation Systems Consortium for its unmanned UH-72 Logistics Connector concept.

    The Aerial Logistics Connector initiative is among several Defense Department programs designed to deliver logistical support in distributed environments during conflicts with peer or near-peer adversaries.

  • SandboxAQ and Acubed advance magnetic navigation 

    SandboxAQ and Acubed advance magnetic navigation 

    As GNSS denial, jamming and spoofing threaten aviation safety, SandboxAQ and Acubed, the Silicon Valley innovation center for Airbus, have released real-world test results from a five-month, nationwide project designed to test the accuracy of AQNav.

    AQNav is an artificial intelligence-driven magnetic navigation (MagNav) system. AQNav uses advanced quantum magnometers to read Earth’s crustal magnetic anomalies, like a geoohysical fingerprint, then employs large quantitative models (LQMs) to filter out electromagnetic interference and precisely determine an aircraft’s position without relying on satellite signals.

    These new results come from a nationwide initiative with Acubed’s Flight Lab to test the navigational accuracy of AQNav. Meeting the aviation industry’s Required Navigation Performance (RNP) standards is necessary for deploying the system on military, commercial and civilian aircraft.

    AQNav’s performance was tested under various opertional scenarios and demonstrated advanced precision, accoding to SandboxAQ. The goal was to determine whether magnetic anomaly-aided navigation could broadly meet navigation requirements for commercial aircraft. AQNav’s capabilities exceeded the accuracy required for en route travel between airports — even on the program’s longest flight.

      Accuracy

      RNP StandardRequired Accuracy (meters)% of Flight Time Met
      RNP 0.355064%
      RNP 11,85295%
      RNP 23,704100%

      To demonstrate how the real-time capable system would operate in real-world conditions, flight data was collected, reprocessed, and streamed in real time to produce statistical insights, offering representative capability data for joint team evaluation. 

      Real-World Impact

      SandboxAQ and Acubed focused on designing tests to mirror authentic, real-world aviation scenarios. For example: 

      • Standard aircraft platform: AQNav was tested using publicly available magnetic maps aboard a standard Beechcraft Baron 58 – rather than a compensated geosurvey platform. This aircraft was modified only to accommodate the additional AQNav instrumentation – no extensive electromagnetic shielding or specialized noise isolation were used. All sensors were positioned inside the aircraft, powered by AQNav’s software to deliver a clean magnetic signal. 
      • Use of a publicly available map. For all flights, AQNav researchers used the publicly available North American Magnetic Anomaly Map (NAMAM), which covers the U.S., Canada, parts of Mexico and surrounding oceanic regions. 
      • Unfiltered flight paths: Flight operations spanned diverse, operationally relevant routes between 200 airports across the entire continental U.S. (Fig. 1), without filtering based on magnetic anomaly strength, magnetic map quality, or favorable geomagnetic gradients. More than 150 hours of flight data was collected.
      • Diverse geophysical environments: Data was collected over a full range of conditions, from magnetically-rich mountains to sparsely featured plains, reflecting real-world geographies where aircraft might operate without GNSS. 
      • True operational noise: Onboard, AQNav successfully filtered out the real-world interference generated by the aircraft, including electromagnetic, vibrational and other airframe-induced noise. 
      Fig. 1: Acubed Flights with AQNav (Credit: AQNav
      Fig. 1: Acubed Flights with AQNav (Credit: AQNav

      Elijha Williams, AQNav’s technical engagement manager, said: “Our campaign was not about demonstrating proof of concept performance under ideal conditions, it was about proving AQNav’s viability under the noisy, messy, and unpredictable environments real pilots face every day.” 

      During test flights exceeding two hours, AQNav outperformed the Inertial Navigation System (INS) without GNSS 100% of the time. During a one-hour flight over the challenging mountainous and forested terrain of California, AQNav achieved its best-observed accuracy of less than 74 meters, or roughly two-thirds the length of an American football field. 

      Precision, Scale and Autonomy for the Future 

      This campaign marks a significant step toward widespread adoption of AQNav in aviation. By consistently maintaining accuracy in an uncontrolled, national testbed, SandboxAQ demonstrated AQNav’s operational robustness under real-world conditions.

      Andrew Sosa Sosanya, a quantum navigation machine learning engineer at SandboxAQ, highlighted the impact of the data collected: “Thanks to Acubed, the U.S. Air Force, and other partners, we’ve accumulated a highly relevant MagNav dataset. This creates a flywheel effect—the more data we gather, the faster we can improve model accuracy across diverse mission profiles.”

      AQNav is also undergoing testing with Boeing, a U.S.-allied air force, and as part of NATO’s 2025 DIANA cohort.

    • Unmanned systems updates

      Unmanned systems updates

      Some people may have anticipated that the unmanned aircraft industry, amid initial exuberance over the new technology and the impact it has made, would eventually suffer some sort of implosion. Nevertheless, while some smaller players have come and gone, by and large new companies are still sprouting, and other start-ups may have been absorbed by bigger fish with more resources.

      DroneDeploy acquired a couple of software image acquisition and robotics companies in recent years – both StructionSite (2022 acquisition, San Francisco) and Rocus (2021 acquisition, New Zealand) are now part of DroneDeploy, widening their jointly addressable markets.

      Drone Delivery Canada (DDC) is in the process of merging with Volatus to bring a combined service and equipment capability to market. Both companies are currently listed on the Toronto Stock Exchange and will trade under DDC’s stock symbol “FLT” following the completion of the merger, anticipated by the end of Q3 2024. DDC provides a unique Condor cargo UAV capability, remote operations center, cargo infrastructure and operations software, while Volatus provides UAV services, training and equipment sales to enable a path to market for the combined company.

      Condor UAVs can carry approximately 400lb of cargo. (Photo: DDC)
      Condor UAVs can carry approximately 400lb of cargo. (Photo: DDC)

      Joby has been a leading participant in the emerging eVTOL air-taxi market segment, and acquired radar developer Inras GmbH in Linz, Austria in December 2021. The small Inras team brought advanced radar technology to Joby’s eVTOL development to provide onboard sensing and navigation.

      Now Joby has also acquired the autonomy division of Xwing, which brings, according to the Joby website, “autonomy, including vision system processing, detect and avoid algorithms, mission management and decision making, ground control stations, remote operations and also the integration of Artificial Intelligence (AI) and machine learning algorithms.”

      Joby’s two flying pre-production eVTOL aircraft (Photo: Joby)
      Joby’s two flying pre-production eVTOL aircraft (Photo: Joby)

      The Xwing Superpilot software has previously enabled autonomous ‘gate-to-gate’ flight, 250 self-contained flights and 500 auto-landings with a Cessna 208B Grand Caravan for demonstration/tests. This system resulted in an official project designation for the certification of a large unmanned aircraft system (UAS) by the Federal Aviation Administration (FAA) in April 2023, and an Air Force Military Flight Release in 2024. Joby expects the acquisition to not only further long-term autonomous civilian capability — initial FAA certification is anticipated with piloted aircraft — but also to support existing and future business with the United States Department of Defense (DOD).

      Meanwhile, Airbus is taking a similar approach by teaming with Helsing in Europe to integrate AI into a future Airbus unmanned Wingman concept aircraft — a UAV designed to fly with and be controlled by front-line manned fighter aircraft. Alongside growing European force requirements, Airbus envisages a lower-cost, attributable, UAV commanded by manned aircraft that could dispatch the Wingman for target reconnaissance and destruction or electronic jamming and deception of enemy air defense systems.

      Airbus and Helsing CEOs with Wingman model.(Photo: Airbus)
      Airbus and Helsing CEOs with Wingman model.(Photo: Airbus)

      Both Joby and its rival Archer have also received FAA Part 135 certification, which allows them both to run an air-taxi operation. Neither has yet obtained FAA authorization for their eVTOL aircraft, but both appear to have a clear mandate from the FAA for the steps necessary for those certifications. Both intend to operate existing certified fixed-wing aircraft as air taxis in the meantime under the Part 135 authorization.

      While browsing through the FAA’s Special Class Airworthiness Criteria for the Joby Aero Model JAS4-1 Powered-Lift, published on the Federal Register, I learned that the task to certify a brand-new category of aircraft is huge — not big, absolutely gigantic.

      FAA put together a draft of proposed cert criteria and put it out for comments to interested government agencies and industry — a whole slew of comments were received, which the FAA reviewed. The FAA incorporated some and discarded others. Just the response to these comments goes on for many pages — there were a lot of comments. Nevertheless, just skimming through FAA’s responses to these comments was a significant undertaking, never mind reviewing and understanding the basic requirements for, say, the two-performance option. Imagine what eVTOL operators have to go through to demonstrate that they meet the steps to achieve FAA certification.

      The cert basis for Joby appears to be a combination of fixed wing and helicopter requirements, plus more to address the novel electrical propulsion system and the batteries that provide its power. Two levels of performance standards are set out — an “essential” level and an “increased” level. The 42 organizations that commented on the draft requirements included worldwide aviation agencies, eVTOL and aircraft companies, industry associations and major components suppliers, the Association for Uncrewed Vehicle Systems International (AUVSI) and some individuals — a huge group of involved and impacted organizations.

      Joby applied to the FAA in November 2018 for certification of its Model JAS4-1 powered-lift eVTOL. Joby has been supporting just the activity related to certification for six years to date. All the other eVTOL developers are at a very similar stage as they try to get their aircraft into service carrying people and generating income.

      Most eVTOL developers have major sponsors familiar with the certification process. Otherwise, the effort would just be too costly, never mind the cost of proving the capability to operating customers, the country as a whole and capturing the imagination of intended users. Plus, of course, building and qualifying the test vehicles, and the operational infrastructure to allow these eVTOLs to land, pick up customers and fly them to somewhere near their destination. The length of time to do this over so many years has broken many unwitting start-up companies. Achieving this goal can be incredibly difficult without the substantial financial resources of major companies such as Airbus, Boeing, or major airlines.

      Moving from UAV to passenger airplane is something not to be taken lightly. As a potential future passenger, just keep waiting for your first flight in an operational certified eVTOL. Several of the contenders have targeted 2026, but who knows? I wish them the best of fortune and they’ll need it!

    • More about eVTOLs

      More about eVTOLs

      Airbus is working with a team to develop a “hybrid” approach to electric aircraft, which means that their experimental aircraft is not only using electric power — with electric motors and propellors (propulsers), an 800-volt battery, and a hi-voltage distribution and control system. It also has a conventional turbine which supplies torque to a conventional propeller and generates electrical power to maintain charge for the 800-volt battery.

      Airbus EchoPulse demo aircraft. (Photo: Airbus/EchoPulse)
      Airbus EchoPulse demo aircraft. (Photo: Airbus/EchoPulse)

      The team working with Airbus includes Daher, which has modified its TBM 900 turboprop aircraft to add the electrical system, motors and props supplied by Safran. Airbus has developed the 800-volt battery and the Flight Control System for the aircraft, through which any future autonomous capability would likely be brought about.

      The decision to try this ‘hybrid’ approach may have been influenced by Volvo, which is pressing this approach for the Series 90 and 60 of its hybrid Electric Vehicles (EV). Combining recharging by an internal combustion engine with a battery and electric drive system greatly extends the range of this model, greatly reduces its gas consumption, and minimizes the hunt for rare recharging outlets.

      It would seem that the principal benefit from the Airbus team development could be the 800-volt DC battery design, and the high voltage distribution/control/recharging system when they are potentially spun off and applied to other manned/unmanned eVTOL passenger aircraft. The basic problem for eVTOL aircraft is payload and range – is that something that a huge energy reservoir such as this battery system could support?

      Airbus EchoPulse demo aircraft. (Photo: Airbus/EchoPulse)
      Airbus EchoPulse demo aircraft. (Photo: Airbus/EchoPulse)

      Developed by Airbus Defense and Space in Toulouse, France, the 800-volt DC battery system delivers up to 350 kilowatts to the electric system on the aircraft. The battery was derived from earlier versions that were flown on Airbus CityBus eVTOL demonstrator and FlightLab helicopters. The Lithium-ion battery weighs in at 350 kg (772 lbs.) and is mounted in an enclosure of the belly of the EcoPulse demonstration aircraft.

      Airbus reportedly plans on taking this high energy-density battery into its commercial aircraft business. But the main market could be for hybrid eVTOL aircraft, which can carry this heavy battery and its control system and to benefit from the massive energy density.

      Meanwhile, as the Russian-Ukrainian war drags on with both sides throwing at each other increasing numbers of ‘kamikaze’ UAVs carrying explosives, interest has recently been growing around a 2020 report out of St. Petersburg Electro-technical University in Russia that critiques the Russian air defense system. According to the report, these defenses are poorly adapted to detect or destroy vehicles as small and slow-moving as UAVs.

      Ukrainian UAV troops were only recently pictured assembling weaponized drones for their one-way trip to Russian-owned targets.

      Photo released by General Staff of the Armed Forces of Ukraine on Telegram
      Photo released by General Staff of the Armed Forces of Ukraine on Telegram

      The explosive carriers are frequently simple racing UAVs. In one released photo, an inexpensive quadcopter is taped together with plastic explosives and an RPG warhead using adhesive tape. Nothing has to be very durable, just durable enough to last for its short one-way trip through Russian defenses.

      The Russian air defenses rely on several tracked and/or wheeled mobile systems using both guns and missiles. This includes radar-guided and heat-seeking missiles, such as the Pantsir-S1, the Tunguska, the Tor, the Strela-10, and the Igla-S man-portable missiles, all of which are designed to combat high-speed jet aircraft, helicopters, and cruise missiles. At the same time, UAVs are slow and very small in comparison.

      Unfortunately, the missiles ‘ poor target detection capability and detonation control systems appear to be the culprits for the inability to strike down UAVs. Tor radar has been seen to only detect at 3-4km (1.8 -2.5 miles), while the minimum operating range is about the same. Thus, misses are reportedly more likely than taking out attacking drones. While the system may be somewhat ineffective, the cost of using missiles is huge.

      A Ukrainian UAV recording within close range of a Russian Tor defense system has captured video of a missile hurtling past and failing to bring it down. Similar results have been found with both the Pantsir-S1 and Tunguska defense systems.

      For the close-in gun and cannon defense systems, Russian tests demonstrated that to raise the probability of a direct hit to just 50% for an attacking drone at a distance of 1.3 miles, between four to 13 thousand shells would need to be fired.  This is significantly more ammunition than one Tor system can fire in one volley without reloading, even at 5,000 rounds/minute of which it is capable.

      Ukrainian war strategists continue to acquire thousands of UAVs each month, while its troops continue to throw them against their Russian invaders with improvised explosive payloads. Meanwhile, as of December 2023, Congress is continuing negotiations over another $61.4 billion in funding to further Ukraine’s war efforts, even while President Zelenskyy visited Washington to urge the U.S. to maintain its support.

      The problem with this situation is that both sides have learned that UAV warfare’ is simpler, less dangerous for the aggressor, and less costly than regular offensives. Thus, a stalemate might prolong the war for even longer.


      So, on the commercial, peaceful side of drone development, the possibility of a hybrid-electric approach for eVTOL passenger-carrying autonomous vehicles is making progress. Nevertheless, as the war continues in Ukraine, could the reduced cost of UAV warfare’ possibly prolong it?

    • Airbus tests UAS at sea in full operational configuration

      Airbus Helicopters and the French Armament General Directorate (DGA) tested the unmanned aerial system (UAS) VSR700 for the first time in an operational configuration from a ship at sea.

      The VSR700 performed 80 fully autonomous take-offs and landings from a civil vessel off the coast of Brittany in the west of France at the beginning of May.

      In 2022, the autonomous take-off and landing capabilities of the VSR700 were tested from the same vessel using an optionally piloted vehicle based on a modified Guimbal Cabri G2 equipped with the autonomous take-off and landing (ATOL) system, developed for the VSR700. This time the test campaign took place with the SDAM demonstrator and fully validated the capabilities of the system as part of the Système de Drone Aérien pour la Marine study that was awarded to Airbus Helicopters and Naval Group in 2017.

      Autonomous take-off and landing capabilities are a key asset of the VSR700 and are made possible with the use of the Airbus DeckFinder system. This enables autonomous launch and recovery of UAVs with an accuracy of 10cm-20cm during challenging operations in harsh environmental conditions, independently of GNSS/GPS and regardless of degraded visual conditions.

      This test campaign follows two series of trials that were conducted with the DGA in late 2022 and early 2023, from the Levant Island test center located in the south of France. During these trials, the SDAM prototype demonstrated its ability to operate in a maritime environment.

      The handling qualities of the aircraft were tested as well as the capabilities of the sensors (a maritime surveillance radar, an electro optical sensor, and an AIS receiver) alongside the mission system developed by Naval Group.

      The next development steps will see the second VSR700 prototype perform its maiden flight ahead of flight testing onboard a French Navy FREMM during the second semester of this year.

    • Safran joins Eurodrone program

      Safran Landing Systems has signed a contract with Airbus Defense and Space to provide the wheels and brakes system work package for the Eurodrone program, which is designed to outfit France, Germany, Spain and Italy with a highly autonomous medium-altitude reconnaissance UAV.

      Safran Landing Systems was selected to design, develop, qualify and produce the work package and to supply the braking control module that will be developed by Safran Electronics and Defense, the company’s partner on this program.

      The contract comprises 60 shipsets.

      Safran Electronics and Defense has also claimed a contract from Leonardo to develop and supply the high-performance Euroflir 610 electro-optical (optronic) system for the program.

      Production of the first prototype will begin in 2024 with a first delivery planned by the end of the decade.

    • EU court dismisses Galileo satellite contract complaint

      EU court dismisses Galileo satellite contract complaint

      Credit: ESA
      Credit: ESA

      On April 26, the European Union Court of Justice dismissed a complaint from OHB System regarding a contract awarded to Thales and Airbus to supply satellites for the Galileo program, reported Reuters. OHB System supplied most of Galileo’s operating satellites.

      In 2021, the European Commission rejected OHB System’s bid to supply the next-generation Galileo satellites and selected Airbus Defense and Space and Thales Alenia Space Italia. This follows a 2018 tender by the European Space Agency for next-generation Galileo satellites.

      OHB System requested the European Commission and the ESA suspend the tender after its former chief operating officer was hired by Airbus and to exclude Airbus from the tender. This was rejected in January 2021.

    • Orolia: Distress locator enhances aviation safety

      Orolia: Distress locator enhances aviation safety

      Airbus will install Orolia’s Ultima-DT emergency locator transmitter on its aircraft. (Photo: Airbus)
      Airbus will install Orolia’s Ultima-DT emergency locator transmitter on its aircraft. (Photo: Airbus)

      This fall, Orolia’s Ultima-DT was certified as an emergency locator transmitter with distress tracking (ELT-DT) by Cospas-Sarsat, an international humanitarian search-and-rescue system. Cospas-Sarsat uses space-based technology to detect and locate model 406 emergency beacons carried by ships, aircraft or individuals venturing into remote areas — often inaccessible by GNSS signals. The system consists of a network of satellites, ground stations, mission control centers and rescue coordination centers that work together when a 406 beacon is activated.

      I spoke about the certification with Christian Belleux, director, Aviation & Defense Beacons for Orolia.

      Matteo Luccio (ML): Has Orolia produced aviation safety products in the past?

      Christian Belleux (CB): Orolia has been supplying emergency locator transmitters for aviation since 1995 on a very large number of platforms to OEMs and airlines for use on commercial aircraft — Airbus, Boeing, Embraer and Bombardier aircraft. Orolia is also participating in industry groups creating standards (Eurocae, RTCA, ARINC) or contributing to the progress of the Cospas-Sarsat search-and-rescue satellite system as a member of the Expert Working Group.

      ML: What are the key challenges in making an aviation ELT?

      CB: With new requirements for lithium batteries and new regulations introducing distress tracking, recent times have been rich in innovation. We were granted the first ETSO certification ever for an ELT-DT and the same product, the Ultima-DT, was also the first ELT to be certified for its lithium battery.

      ML: What did Cospas-Sarsat certification of the ELT-DT entail?

      CB: The ELT-DT is a new type of beacon with a new communication protocol. The labs performing the certification tests must be approved by Cospas-Sarsat before we can apply. Then the Cospas-Sarsat organization and infrastructure must be updated to receive and consider the new ELT-DT protocol. The Cospas-Sarsat certification of our ELT-DT means that it complies with the performance requirements described in Cospas-Sarsat standards and can communicate with the infrastructure.

      ML: What is new about an ELT-DT?

      CB: The principle of an ELT-DT is to activate in flight before a crash, as opposed to a legacy ELT that is activated by the shock of a crash. This means that the aircraft and the ELT-DT can analyze the health of the aircraft and its parameters, and activate if a catastrophic event is about to occur. Once activated, the ELT-DT transmits a high-rate distress signal that makes it possible to track the aircraft until it crashes. The ELT-DT contains its own GNSS receiver that is independent the aircraft’s navigation system.

      ML: Did you cooperate closely with one or more avionics manufacturers to develop your device?

      CB: Orolia was in very close contact with Airbus, which designed the avionics components.

      ML: Do you already have contracts with airlines or aircraft manufacturers besides Airbus for the Ultima-DT?

      CB: We have several contacts with aircraft manufacturers and airlines interested in the Ultima-DT.

      ML: When will the first batch of the ELT-DT / Ultima-DT be operational?

      CB: We started flight tests months ago at Airbus and delivered production units. Airbus soon will announce its first delivery of an aircraft equipped with the Ultima-DT.

    • Remote carrier flight test demonstrator successfully launched

      Remote carrier flight test demonstrator successfully launched

      Germany has successfully launched the Future Combat Air System (FCAS) Remote Carrier demonstrator, released by an A400M.

      The launch was carried out by the Bundeswehr Technical Center for Aircraft and Aeronautical Equipment (BAAINBw) and the German Aerospace Center (DLR), with collaboration from Airbus and German companies SFL and Geradts.The Remote Carrier demonstrator — an altered Airbus Do-DT25 drone — was launched from a device created specifically for the A400M to release remote carriers.

      After the remote carrier was launched, its Do-DT25 engines were ignited, and it continued to fly. Controls from the A400M were then handed to the ground operator who landed the drone successfully.

      As a part of the launch, the A400M was also evaluated to determine its role in FCAS to serve as a UAV launcher. Because the launch results were successful, Airbus is aiming to have the multi-role air lifter serve as the host of remote carriers.

      The remote carriers and A400Ms will have an integral role in expanding the use of unmanned systems by Airbus’s military transport aircraft in the FCAS.

      Photo: Airbus
      Photo: Airbus

    • Orolia receives Cospas-Sarsat certification for distress locator

      Orolia receives Cospas-Sarsat certification for distress locator

      The approval paves the way for Orolia’s ELT-DT to play essential roles in meeting the aviation industry’s advanced safety mandates worldwide

      The Ultima-DT emergency locator. (Photo: Orolia)
      The Ultima-DT emergency locator. (Photo: Orolia)

      Orolia is the first company to receive certification from Cospas-Sarsat and the European Union Safety Agency for its new-generation distress tracking emergency locator transmitter, the Ultima-DT.

      The approval verifies Orolia’s continuous advancements in global beacon technology, including securing a single source, multi-year program contract to supply ELT-DTs for all Airbus aircraft programs.

      Cospas-Sarsat is an international, humanitarian search-and-rescue system that uses space-based technology to detect and locate model 406 emergency beacons carried by ships, aircraft or individuals venturing into remote areas, often inaccessible by GNSS signals. The system consists of a network of satellites, ground stations, mission control centers (MCCs), and rescue coordination centers (RCCs) that work together when a 406 beacon is activated.

      “Being the first company to certify a distress tracking ELT shows again Orolia’s unique ability to provide the industry with the most innovative safety solutions,” said Jérôme Ramé, Orolia’s aviation and military product line director. “With Ultima-DT, we address the EASA-mandated requirement for the location of aircraft in distress, but also the market need for an ELT meeting the most recent safety standards.”

      Orolia developed the Ultima-DT in response to aviation safety mandates to improve global aircraft tracking. As per the ICAO Global Aeronautical Distress and Safety Systems (GADSS) recommendation and European Union mandate, all new aircraft delivered from January 2024 shall be able to autonomously report their location anywhere in the world and determine the end-of-flight location to help rescue teams rapidly locate the aircraft and recover flight recorders.

      Unlike traditional automatic fixed ELTs and stand-alone units, the Ultima-DT is tightly connected to the avionics system. It activates upon detecting a potential distress condition and starts transmitting automatically while the aircraft is still in flight. This next-generation ELT autonomously acquires the aircraft’s location and sends a 406-MHz message in real-time, including the accurate location, to the Cospas-Sarsat distress alert organization.

      The Ultima-DT is also the first ELT to fully comply with the latest EASA/FAA safety requirements for non-rechargeable lithium battery-powered equipment through (E)TSO-C142b. As part of its efforts to support airlines in their regulatory compliance projects, Orolia is also offering its portable Ultima-S ELT, which aims to meet these special conditions.

    • Airbus to test eVTOL flight routes with Hiratagakuen in Japan

      Airbus to test eVTOL flight routes with Hiratagakuen in Japan

      Partnership will test future eVTOL flight routes and concept of operations in the Kansai region

      Photo: Airbus
      Photo: Airbus

      Airbus is partnering with Japanese helicopter operator Hiratagakuen to develop advanced air mobility services in the Kansai region and beyond. Through this agreement, the companies will tackle crucial aspects required to launch a commercial transportation service with CityAirbus NextGen.

      As a first step, the partners’ joint project to organize a simulation of ideal routes, concepts of operations, and necessary equipment for safe electric vertical takeoff and landing vehicle (eVTOL) flights in the Kansai region. Kansai was selected by the Osaka prefecture for the project. A demonstration flight is scheduled for later this year.

      With the aim to implement air mobility services beyond urban environments, the joint work of Airbus and Hiratagakuen will support the development of advanced air mobility solutions with CityAirbus NextGen for use cases ranging from air medical services to commercial air transport and ecotourism in a variety of operational contexts.

      Airbus and Hiratagakuen will use an H135 helicopter to test advanced navigation and communication technologies for safe operations of eVTOLs in urban environments, while simulating CityAirbus NextGen’s flight configuration.

      Hiratagakuen is a Kansai-based helicopter operator that specializes in helicopter emergency medical services (HEMS), transportation of personnel, flight training and maintenance. The company’s fleet includes 14 H135 and two H145 helicopters.

      In September 2021, Airbus unveiled its eVTOL prototype CityAirbus NextGen to explore advanced air mobility technologies. The company plans to construct a dedicated center to test the aircraft’s systems in the lead-up to its maiden flight. Airbus is also working closely with industrial and institutional partners to lead the development of urban air mobility ecosystems, including ITA Airways in Italy and launch of the Air Mobility Initiative in Germany.