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The European Union Agency for the Space Programme (EUSPA) along with the European Commission, have published guidelines that specify the baseline applicable to the Galileo Open Service Navigation Message Authentication (OSNMA) receiver service provision phase. The new documents include the OSNMA Signal-in-Space (SIS) Interface Control Document (ICD), and OSNMA Receiver Guidelines.

The OSNMA SIS ICD specifies, among other things, the interface between the Galileo Space Segment and the Galileo User Segment. This document is an addition to the Galileo Open Service (OS) SIS ICD.

The OSNMA Receiver Guidelines provide generic instructions for the user segment implementation of the OSNMA functionality and complement the OSNMA SIS ICD. Additionally, the guidelines explain user capabilities and steps to implement to verify the authenticity of the Galileo navigation message.

Both documents will be used for the upcoming OSNMA Service Provision Phase that will begin after the OSNMA Service Declaration. They have been developed as an evolution of the Galileo OSNMA User ICD for test phase (v1.0) and the Galileo OSNMA Receiver Guidelines for test phase (v1.1). Copies of the documents can be found here.

California lawmakers have passed a bill prohibiting OEMs of autonomous vehicles from marketing their vehicles as ‘fully self-driving.’ This law went into effect Jan. 1.

This legislation was passed in mid-September of 2022 and states that manufacturers are prohibited from selling new passenger vehicles with autonomous driving features without fully disclosing their capabilities and limitations. Companies such as Tesla, and other OEMs in California, will no longer be able to market vehicles as ‘fully autonomous,’ as the new bill states that it is “considered a misleading advertisement.”

Any violation of the new legislation will be punished as an infraction. Based on this, it is unclear what the exact punishment will be for OEMs that violate this policy.

Senate Bill No. 1398 will be added to Section 24011.5 of California’s vehicle code. The full bill can be found here.

On Dec. 20, ComNav Technology launched its Venus Laser RTK, a GNSS receiver with a millimeter-level laser that enables rod-less surveying. This product is a part of ComNav’s Universe Series of GNSS receivers.

Venus Laser RTK comes with an inertial measurement unit (IMU), which can be used in its traditional mode, with a range pole or in laser mode, which does not require a range pole, enabling GNSS surveying beyond typical limitations. In traditional mode, it has tilt compensation up to 60 degrees with an accuracy of 2.5 cm; in laser mode, it has the same tilt compensation but an accuracy of 5.5 cm.

This GNSS receiver is powered by a SinoGNSS K8 high-precision module, capable of up to 1,590 channels. It can survey using GPS, BDS-2, BDS-3, GLONASS, Galileo, QZSS, and SBAS constellations.

Other features include Bluetooth connectivity, more than 20 hours of battery life, and the fact that it is dust and waterproof. Venus Laser RTK can also withstand harsh environments and is designed to survive more than a two-meter drop.

On Dec. 28, Atwell, a Michigan-based, full-service consulting, engineering, and construction services firm, announced its agreement to acquire Dempsey Surveying Company, expanding business in the Midwest. The deal is expected to close on Dec. 31.

The acquisition of Dempsey Surveying Company, based in Cleveland, Ohio, broadens Atwell’s presence in the Midwest and expands surveying capabilities, as well as other services, to new and existing clients.

Dempsey Surveying Company’s services include topographic surveys, construction staking, boundary services, Federal Emergency Management Agency (FEMA) flood elevation certificates, surface model TINs, GPS services, aerial mapping, and UAV services. The company has a variety of clients across several industries and has maintained more than 50 years of survey records.

This is Atwell’s third acquisition this quarter. In November, Atwell acquired Cross Surveying, a Florida-based land surveying firm, and Ben Dyer Associates, a Maryland-based engineering firm.

On Nov. 11, the last Galileo satellite of first-generation series was shipped from ESA’s ESTEC Test Centre, Europe’s largest satellite testing facility. Galileo is Europe’s largest satellite constellation and one of the most accurate satnav systems in the world.

Galileo’s development began two decades ago with two test GIOVE satellites, followed by a series of other operational launches to add to the constellation. The current constellation consists of 34 Full Operational Capability satellites, the initial two GIOVE satellites, and the Galileo In-Orbit Validation satellite. Galileo Second Generation satellites are already in development.

The success of higher levels of vehicular autonomy will depend on two types of roadway corridor digital twins: pre-mapped and augmented on the fly. No matter how well the corridors are pre-mapped, there will always be the need for the vehicle to be self-aware — not only of the proximity of other vehicles and pedestrians, but also of changes to fixed features. New vehicles are being provisioned with multi-sensor clusters, including GNSS, cameras, lidar, sonic and more. This provides an opportunity to more precisely assess the condition of the road surface, which affects the performance of vehicle suspension systems, tires, fuel efficiency and general wear and tear.

“Imagine that your car navigation map system included roadway conditions,” said Karsten Bronowski, sales and business development manager for XenomatiX, “a global view where roads are color-coded based on their surface types and roughness. And all of this is mapped by systems like ours or added to the mobile systems mapping all the roads.

“Our product actually came out of the automotive world, and we still have customers that use it as a reference system for active suspensions, for mass-spring damping systems,” Bronowski said. For these applications, the sensors were mounted facing forward for a preview mode. “We have worked with the Belgian Road Research Center and others with applications to readily provide the international roughness index.”

XenomatiX was formed in 2013, focused on developing true solid-state lidar. “The idea was to get the motor out of lidar,” said Bronowski. “You have moving parts, you have wear and tear, the effects of vibration, problems with long-term reliability and with controlling temperature. With true solid-state lidar, you eliminate these issues.” Micro-electromechanical systems (MEMS) lidar systems still have moving, opto-mechanical components. Bronowski said that the solid-state systems feature a CMOS-based detector generating high-density point clouds in all weather conditions, and a multi-beam laser projector generating a high-resolution grid of points.

The dual lidar sensor system gets its orientation and positioning from additional components, including GNSS and IMU. The system that Bronowski showed at Intergeo 2022 had Septentrio AsteRx-U3 GNSS/IMU units supporting dual antennas for heading. However, they are using other means to improve both relative and absolute positioning: “How we do this is one of our secrets. For one of our customers in Japan mapping local highways, we proved to have excellent compensation, even tracking precisely through a 4-kilometer-long tunnel.”

XenomatiX has developed software to analyze data for many applications, automate feature recognition, and even validate other data. For instance, one customer in the United States is a big player in the satellite imaging sector that wants to match that data with pavement markings the XenomatiX system picks up.

While there is a needed calibration step and the requirement to align the detector for the dedicated measurement vehicle, sensor systems such as this can be put on just about any type of vehicle — on- or off-road. The driver does not need to intervene much, and the processing is done on a standard PC or laptop. “The customer does not care about the systems, just the data that comes from it,” Bronowski said.

We often hear the anecdote about an early lidar scanner that could take a shot every few seconds, yet it held a value proposition for certain applications. As the capabilities of successive mapping and surveying systems change rapidly, so does the conventional wisdom about which are best for various applications. Transportation corridor mapping — be it for improvements design, as-built surveys, asset management or digital twinning — has always been a balancing act between precision and efficient large-scale data capture.

“I remember 15 years ago, during my university time, the scanner was the size of a dining table,” said Andrei Gorb, segment manager for mobile mapping and unmanned aerial vehicle (UAV) systems, CHCNAV. At the top end of the mapping food chain were terrestrial scanners, targets, bore sighting, and registering point clouds mostly manually. As cumbersome and time-consuming as the legacy tools and methods were, these options still offered efficiency gains compared to conventional surveying with total stations. Then a decade ago, mobile-mapping systems began to change that paradigm. Departments of transportation found that mobile-mapping systems could meet their requirements for many design projects, and certainly for asset inventory and management. Unmanned aircraft systems (UAS) were not quite there yet.

The tech used depended on the application. “First, there was road maintenance, to understand the road condition,” Gorb said. “Previously, UAS did not meet the high requirements: centimeter in absolute and millimeter in relative. We now have mobile-mapping solutions, from us and other suppliers, that can be in the 8-9 mm absolute accuracy range on short road surfaces.” Yet for many transportation applications, the absolute accuracy may not be as important as the relative precision. This is where years of development in UAS has made the difference.

CHCNAV was not alone in recognizing that the gap was closing, and the company planned ahead. “Previously, UAS would fly for under an hour, and were mostly carrying cameras or early lidar, which was not suitable for highways,” Gorb said. “A few years of development, and we see it is practical to meet requirements with UAS flying between 50 and 100 meters — in Europe, many local regulations forbid flying above 120 meters anyhow.” Gorb attributes the advances to lidar sensors that UAS can carry. These sensors have become much better and less expensive. Plus, platforms like vertical-take-off-and-landing (VTOL) systems can stay in the air much longer.

The UAS boom of the past 10 years saw the dominance of consumer-prosumer market UAV platforms becoming quite commoditized, with certain vendors gaining majority market share. CHCNAV, instead, sought to develop enterprise solutions, for both mobile and UAS systems — large-platform rotor, fixed-wing and VTOL platforms. The company offers an amalgam of hardware and software, from Riegl scanner heads on some of their mobile-mapping systems to Honeywell inertial navigation systems (INS) for some of their UAS solutions.

Gorb echoes what we hear from many mapping practitioners, saying ground-control points are not as necessary in the densities required for legacy mobile and UAS mapping. He explained that everything from strip adjustments to processing of GNNS/IMU data has tightened both precision and accuracy. “We have a tactical-grade IMU in both our mobile mapping and UAS solutions, for a high-end trajectory,” Gorb said. “So, it means that we can get the same high-accuracy point cloud for highways from the ground and the air perspectives.”

To reduce its emissions, DPD Deutschland — a franchise of DPDgroup, one of the largest international parcel carriers in Europe — has asked Trimble Maps to help optimize its operations. DPD Deutschland’s parcel supply chain covers 80 franchise depots, 9,500 employees and more than 13,000 drivers, delivering about 2 million packages to businesses and consumers per day via a mixed fleet of vehicles, including electric ones.

DPDgroup has a vision to become the international standard in sustainable delivery by 2030. Per parcel, it has reduced its CO2 emissions by 18.8% since 2013 and is on track to reach a 30% reduction by 2030, according to Trimble.

One of DPD’s most popular service offerings, called Predict, allows parcel recipients to track the progress of their deliveries in real time, with an estimated one-hour delivery window and updated notifications along the way. Since 2014, Trimble Maps’ portfolio has helped calculate this one-hour delivery window and provided turn-by-turn navigation to DPD drivers, resulting in less overall travel time, more successful first-time deliveries and reduced emissions.

DPD was the first, and still is the only, parcel carrier in Germany that provides recipients with an estimated one-hour delivery window, the company says, calculating it for every parcel. The service is made possible in part by the integration of Trimble Maps’ route optimization and mapping web services platform, known internally as DPD Maps. Recipients can reschedule deliveries as needed for future days and times, or perhaps to a convenient drop-off location. This reduces emissions created by multiple return trips.

DPD Maps calculates an optimized route for drivers, who are then able to manually sort the stops and change the route to best fit their preferences. Once routes are locked in, Trimble’s commercial navigation application, CoPilot, provides drivers with real-time directions. Once a driver’s route is complete for the day, DPD can compare the actual route taken with the optimized route DPD Maps calculated in an easy-to-understand view that can be analyzed by the driver and the depot.

DPD Maps allows the company to visualize, share and discuss results with different stakeholders within the organization. The solution also allows drivers to plan out their day as they see fit, while giving the back office access.

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.

When it comes to ground transportation, most of the R&D regarding GNSS is aimed at developing driver-assist systems and, ultimately, driverless cars and trucks. For that purpose, GNSS receivers are integrated with inertial navigation systems, radar, lidar, computer vision and ultrasonics.

Leveraging decades of robotics experience and knowledge of control algorithms, AutonomouStuff, part of Hexagon’s Autonomy & Positioning division, has developed a software stack for autonomous vehicles based on the Apollo open-source software stack.

“Think of this software stack as a brain powering the autonomous platform,” said Kevin Fay, product manager for Hexagon’s platforms and vehicle software business. The software stack can be customized across platforms and to meet equipment needs.

Most recently, in a collaborative project with the National Advanced Driving Simulator at the University of Iowa, AutonomouStuff worked with the Automated Driving Systems for Rural America project to outfit a Ford Transit 350HD shuttle for autonomous operation. First, it created a drive-by-wire system that enabled electronic control of the vehicle, and then it installed positioning, navigation and perception sensors. The result is a platform ready to be autonomous as soon as the software stack is integrated.
Rural roads — which have a wider range of speeds than urban ones — may be encumbered by wildlife or heavy equipment. They also vary in surface from asphalt to gravel, providing a particularly challenging test environment for the autonomy software.

“The Iowa vehicle has done a sizable amount of automated driving on a combination of urban and rural roads, where traditional sensing falls flat,” Fay said. “It has excelled in areas such as gravel roads that have limited or no lane markings, or are narrower than normal. We deployed it earlier this year to do things such as traffic-light detection with the cameras on board, so that it navigates traffic-light intersections appropriately.”

While rural roads are generally free of the GNSS multipath challenges presented by urban canyons, they also provide fewer navigation landmarks. Another challenge is inclement weather. During snowstorms, Fay pointed out, country roads might be unplowed. “If you run on the right lane of the road all the time, you might be out of the ruts that are on the road, and then you’re struggling to get through.” The vehicle must learn to navigate appropriately in those conditions.

The University of Iowa Ford Transit shuttle is a limited deployment, mainly to collect data for research purposes. Meanwhile, it is giving real rides to residents, though with a safety driver. “They’re always attentive, but their hands will be next to the wheel,” Fay said. “There will be times where they may have to take over.”

Other universities and companies are using the platform to further their autonomy programs. Most of them are doing urban driving in complex routes with live traffic, for a total of a dozen vans nationwide.

Hexagon equips the vehicles with a variety of sensors, including a front-mounted adaptive radar, a roof-mounted Velodyne lidar, a roof-mounted NovAtel GNSS receiver and cameras mounted inside the vehicle. “Which ones we provide depends largely on the customer and on which software they’re deploying,” Fay said. “We provide our customers a complete package that can be used with minimal work out of the box. It has the software, the interface to the vehicle, and sensors on it. But we can also provide them with a vehicle that simply has an interface for control, and they add their own computer and software on top of it.”
Hexagon’s first Ford Transit was deployed in 2021. The company released the current version in the spring of 2022, and the Iowa project is slated to run through the middle of 2023. “We’ve not had something running in live traffic before,” Fay said, “so it allows us to continue to grow our skill sets and our overall expertise.”