Hemisphere GNSS has announced its new Outback Guidance MaveriX Precision AG Solution.
The new MaveriX Precision AG solution, built around the new MaveriX agriculture application software platform, provides guidance, steering and application control.
The MaveriX application software includes a new user interface that provides a tablet-like user experience with 3D graphics. The included adjustable widgets give users the freedom to customize their UI experience.
Included with MaveriX, the new M7 and M10 terminals with 7- and 10-inch form factors are the centerpiece of the solution. The M-series terminals deliver the latest display technology and provide an enhanced situational awareness for users and preferred features like auto-scaling and pinch-to-zoom capabilities.
The MaveriX solution provides centimeter-level performance via the new eDriveM1 steering controller.
The eDriveM1 offers AB Straight, AB Contour, Freeform Contour, and Circle Pivot guidance modes and supports Shuttle Shift, Reverse Steer, and the Outback Guidance eTurns feature for automated headland turns. The eDriveM1 can be paired with the ESi2 Electric Wheel, existing OEM Steer Ready, or hydraulic retrofit interfaces. Outback Guidance continues to offer machine specific installation kits for more than 1,500 machine models.
The A631 GNSS Smart Antenna delivers unmatched GNSS performance at scalable accuracy levels using RTK, SBAS, and Hemisphere’s Atlas L-Band service. The A631 supports RTK Base functionality when paired with the Outback RTK radio option.
The MaveriX technology platform supports the AC110 Rate and Section control to maximize your implement functions during planting, spraying and application tasks.
Hemisphere GNSS designs and manufactures heading and positioning products, services, and technology for use in agriculture, construction & mining, marine, OEM, L-band correction service markets, and any application that requires high-precision heading and positioning.
Volvo Group Venture Capital AB has announced a new investment in a company in the field of measurable safety for driver assistance and autonomous vehicles. Foretellix Ltd was founded in 2018 by a team of verification and validation pioneers whose mission is to make automated driving systems safe and efficient.
One of the main challenges of autonomous systems is deciding when a product is safe enough to commercialize. This is what Foretellix is tackling with its verification platform. It uses intelligent automation and big data analytics tools which coordinate and monitor millions of driving scenarios to ensure that the autonomous vehicle behaves correctly under all possible driving conditions, including edge cases.
In addition to the Volvo Group Venture Capital investment, Volvo Autonomous Solutions formed a closer partnership with Foretellix earlier this year with the aim of jointly creating a coverage-driven verification solution for autonomous driving that operates both on public roads and in restricted areas.
The role of Volvo Group Venture Capital is to make investments that drive transformation by facilitating the creation of new services and solutions and to support collaborations between start-ups and the Volvo Group.
Against the background of the trends shaping the future of transportation and the strategic priorities of the Volvo Group, the key areas of investment for Volvo Group Venture Capital are logistics services, site solutions and electrical infrastructure. The organization has a global scope and focuses on Europe and North America.
Raven Industries, Inc., a manufacturer of driverless ag technology, showcased and demonstrated its OMNi suite of technology at the recent Farm Progress Show, one of the largest public farm shows in the United States. At the show, Raven featured its technology in the event’s Autonomy Zone, where the company debuted OMNiDRIVE on Case IH Magnum and showcased OMNiPOWER performing autonomous missions.
Raven’s OMNiDRIVE is the first driverless ag technology for grain cart harvest operations. The company launched OMNiDRIVE in May 12, 2021, with a year one limited release of 75 aftermarket systems. Today, all systems have been committed to by founding dealers. Through the remainder of the summer, the company is holding OMNiDRIVE demonstration events at its Founders Club dealers, where participants get a first-hand view of OMNiDRIVE controlling a driverless tractor pulling a grain cart and commanding it to sync with a harvester.
OMNiDRIVE is Raven’s aftermarket technology solution that transforms existing tractors into driverless machines. The technology connects, manages, and safely operates autonomous agricultural machinery and is compatible with:
Case IH Magnum CVT (2014-2020 models): M250 / 280 / 310 / 340 / 380 (available in October 2021)
New Holland CVT (2014-2020 models): T8.320 / 350 / 380 / 410 / 435 (available in October 2021)
John Deere 8Rs Powershift and IVT (2010-current models)
OMNiPOWER is a self-propelled power platform that easily interchanges with farm implements, allowing the ag professional to perform multiple farming operations.
Raven Industries makes precision agriculture, high-performance specialty films, and aerospace and defense solutions.
Auterion, the company building an open and software-defined future for enterprise drone fleets, has partnered with Phase One, a developer and manufacturer of medium and large format aerial photography systems. The companies will make the Phase One P3 Payload lineup easily accessible, with a plug-and-play integration to Auterion’s open drone ecosystem.
Enterprise inspections today are limited to periodic inspections of selected assets in a small geographic area. Enterprises are forced to use either internal drone operators or operators who are trained in the organization’s workflow to effectively collect pertinent data. Scaling the inspections from tens of assets to thousands of assets requires a platform-agnostic, end-to-end, streamlined workflow. This enables drone operators to conduct the inspections across a large region, lowering the cost and increasing the coverage.
Known for its image quality in high-precision and time-critical inspections, Phase One’s P3 Payload consists of a high-resolution 100MP iXM camera—uniquely designed for UAVs—containing a BSI sensor with the highest dynamic range of 83dB, a rangefinder with smart focus, and a broad array of lenses including 35 mm, 80 mm and 150 mm. The partnership joins the P3 Payload’s inspection capabilities with the versatility native to Auterion’s ecosystem of software-defined and connected drones— enabling customers to integrate real-time inspection data into their existing applications and workflows. The P3 Payload is Phase One’s first payload compatible with the Auterion ecosystem.
Drones leveraging the Phase One P3 Payload and the power and connectivity of Auterion’s Skynode and Suite are capable of dramatically scaling high-value, high-risk and time-critical inspections including those of wind turbine fields (on land and offshore), oil refineries and offshore rigs, power masts and utility lines, bridges, dams, nuclear facilities, large infrastructure projects and other use cases. The combination also benefits faster geospatial mapping, bringing world-renowned image quality with very high resolution, dynamic range, color fidelity and geometric accuracy to projects.
Phase One A/S researches, develops, and manufactures medium format and large format digital cameras and imaging systems. Auterion provides enterprise and government with an ecosystem of software-defined drones, payloads, and third-party applications within a single, easy-to-use platform based on open-source standards.
A drone equipped with an echo sounder surveys the Dead Sea. (Photo: SPH Engineering)
Israeli drone service provider ERELIS has conducted a number of pilot projects using a drone equipped with a single-beam echo sounder in the Mediterranean Sea and the Dead Sea. The data was validated by authorized local surveyors and reports from previous surveys of the same areas by the Michmoret Campus, Faculty of Marine Science.
The reference bathymetric data was collected using a manned boat and multi-beam and single-beam echo sounders and demonstrated a good match between the results of new drone-based and traditional methods.
The bathymetric system consisted of a standard commercial DJI drone (UgCS SkyHub onboard computer and terrain-following system with radar altimeter) and Echologger ECT400 single-beam echo sounder provided by SPH Engineering, Latvia. For data processing, the Eye4Software Hydromagic software package was employed.
“I was surprised by the maneuverability of the system and how easy it is to conduct bathymetric surveys using a UAV equipped with an echo sounder,” said Roman Kirsanov, CEO of ERELIS. “Some of our survey areas were 400 to 500 meters away from take-off and landing positions, and that means that remote sensing comes to the world of hydrography and becomes available to any drone service companies.”
Screenshot: SPH Engineering
“It was good to see that applicability of our system with a single-beam echo sounder validated in conditions outside of its initial focus on small-scale surveys of inland water bodies,” said Alexey Dobrovolskiy, CTO of SPH Engineering. “We can now recommend our system for small-scale surveys in coastal areas and virtually in any liquids. The density of water in the Dead Sea is 1.24 kg/l.”
In May, SPH Engineering launched a UAV integrated with an echo sounder, as a new product for bathymetric surveys of inland and coastal waters. This data-collection method has since been used in Denmark and the UAE, and is suitable for mapping, measuring and inspections, as well as environmental monitoring.
The Nippon Foundation-GEBCO Seabed 2030 Project and Kongsberg Maritime have entered a memorandum of understanding (MOU) in support of the global initiative to produce the complete map of the ocean floor. Under the terms of the MOU, the two parties will work together to advance understanding of ocean bathymetry. The effort complements the goals of the United Nations Decade of Ocean Science for Sustainable Development.
Seabed 2030 is a collaborative project between The Nippon Foundation and GEBCO to inspire the complete mapping of the world’s ocean by 2030 and to compile all bathymetric data into the freely available GEBCO Ocean Map. GEBCO is a joint project of the International Hydrographic Organization (IHO) and the Intergovernmental Oceanographic Commission (IOC) and is the only organization with a mandate to map the entire ocean floor.
Kongsberg Maritime provides solutions for safe, efficient, and sustainable maritime operations. The solutions are suitable for offshore energies, seaborne transportation, hydrography, science, navy, coastal marine, aquaculture, training services and more. Kongsberg Maritime is the largest business area within Kongsberg Gruppen ASA. The Group has an integrated portfolio of solutions for businesses, partners and nations operating from the depths of the sea to outer space and to the digital frontier.
All data collected and shared with the Seabed 2030 Project is included in the GEBCO global grid, which is free and publicly available.
The Nippon Foundation-GEBCO Seabed 2030 Project is a collaborative project between The Nippon Foundation and GEBCO. The Seabed 2030 Project, launched at the United Nations Ocean Conference in 2017 by Chairman Sasakawa of The Nippon Foundation, coordinates and oversees the sourcing and compilation of bathymetric data from different parts of the world’s ocean through its five centers into the freely-available GEBCO Grid.
Kongsberg Maritime is a global marine technology company providing technology solutions for all marine industry sectors including merchant, offshore, cruise, subsea and naval.
Autopilot platform developer UAV Navigation is integrating Iris Automation’s detect-and-avoid Casia software into its advanced autopilot solution, Vector. UAVs equipped with Vector and Casia now can detect uncooperative crewed aircraft in their airspace and autonomously or manually take corrective action, avoiding potential collisions.
The integration comes as Iris Automation releases Casia Software v2.2. The release also includes improvements to performance, track fusion and flight data uploads. Casia Software is embedded in all Casia systems and uses computer vision and artificial intelligence to detect and classify aircraft intruders, similar to human pilots.
Vector autopilots are specifically designed to execute flight completely autonomously, even if the remote-control datalink becomes unavailable or fails. They are used by a wide range of commercial clients flying rotary wing, target drone, fixed wing, and VTOL uncrewed aerial vehicles, worldwide.
UAV Navigation specializes in the design of guidance, navigation and control solutions for unmanned aerial vehicles (UAVs). Iris Automation is a safety avionics technology company pioneering detect-and-avoid (DAA) systems and aviation policy services that enable customers to build scalable operations for commercial drones.
Septentrio, a leader in high-precision GNSS positioning solutions, has launched the AsteRx SB3 receiver family, enclosed in an IP68 housing. The receiver offers superior availability of RTK high-accuracy positioning because of its ability to track a wide variety of signals from all currently operating GNSS (GPS, GLONASS, Galileo and BeiDou).
Even in dual-antenna mode, AsteRx SB3 uses triple-frequency tracking to maximize robustness and availability of its heading angles.
“The AsteRx SB3 brings state-of-the-art GNSS positioning and heading performance in a very compact and rugged enclosure that is fully certified and ready to use,” said Silviu Taujan, product manager at Septentrio. “Its simplicity and ease of use make it a truly plug-and-play device, allowing customers to have a fully operational system within minutes.”
The new line includes two types of receivers, both offering unique triple-band sub-degree GNSS heading.
AsteRx SB3 Pro is a high-performance rover receiver featuring the latest core GNSS+ algorithms for maximal reliability and availability in challenging environments, such as near high structures or under foliage.
AsteRx SB3 Pro+ adds value to the Pro version with base station functionality and internal logging. It also offers higher update rates and ultra-low latency, both important factors for fast-moving vehicles or mechanical components in automation or guidance systems.
AsteRx SB3 products are pin-to-pin compatible with Septentrio’s AsteRx SB ProDirect receiver and with the recently released AsteRx SBi3 GNSS/INS system, making it simple to change receivers.
The Septentrio AsteRx SB3 Pro is ruggedized for tough environments. (Image: Septentrio)
SPH Engineering has released a lidar toolset update to UgCS — the company’s UAV mission planning and flight control software. The lidar toolset is designed to eliminate human error in remote sensing.
Features include precise calibration, flight patterns for route planning, anti-shake turns, and constant line spacing and buffer.
The UgCS lidar toolset allows users to optimize time and cost-effectiveness at all stages of data collection and processing. At the flight planning stage, time is saved on mission planning, with flight patterns and turns designed specifically for lidar surveys.
At the flight stage, users can acquire high-quality laser data with preset inertial measurement unit (IMU) initialization patterns and anti-shake lidar turns. During post-flight data analysis, the high accuracy of the acquired data ensures the desired results with a single trip to the field
“We have received various requests from lidar producers and end-users to improve the accuracy of laser data collected with a UAV,” said lexei Yankelevich, head of software development at SPH Engineering. “We have invested in UgCS R&D to focus mainly on automated IMU calibration commands, automatic calculation of required line spacing and overlap, and prevention of sensor shaking. Trial flights over SPH Engineering’s in-house test range have confirmed UgCS lidar toolset capacity to support main lidar market players.”
Application areas include power line inspections, road inspections, construction, mining, archaeology and forestry.
A new European project is researching automated collection of geodata and production of high-definition maps.
The GAMMS project is funded by the European Union Agency for the Space Programme (EUSPA), and will take place until the end of 2023. Galileo will be the main enabler of GAMMS, given its precise, multipath-resistant measurements and its upcoming high-accuracy service (HAS).
A European consortium, led by the French map service provider GEOSAT, will investigate how the combination of self-driving mapping cars (autonomous mobile-mapping systems) and artificial intelligence-based mapping software can automate the production of high-definition maps.
These maps are used by driverless vehicles and need to be provably accurate, complete and up to date. Fast, sustainable production of trustworthy maps is the goal.
Consortium members include:
GEOSAT — map-making and machine learning
GeoNumerics — multi-sensor fusion and accurate navigation
“It is as challenging as interesting to bring together the geodetic estimation methods with the navigation ones in multi-sensor systems powered by EGNSS and its differentiators, VDMs (vehicle data management systems) and visual features,” said Marta Blázquez, responsible for GAMMS at GeoNumerics. “GAMMS will boost the development of NEXA, our trajectory determination platform, and GENA, our adjustment platform for dynamic networks, in the direction of trustworthy navigation.”
GeoNumerics is responsible for computing the mapping vehicle trajectory (a time series of position, velocity and attitude coordinates) by integrating the manifold of sensors available in a mapping vehicle.
Measurements of inertial units and atomic clocks will be fused with measurements of all available navigation satellites (GPS, GLONASS, Galileo and BeiDou), odometers, cameras and laser scanners. For this purpose, GeoNumerics’ GENA and NEXA systems will be further developed to include new sensor mathematical models and to improve its robust estimation methods.
In June 2019, Regulus Cyber’s experts successfully spoofed the GPS-based navigation system of a Tesla Model 3 vehicle. This experiment provided an important warning for all companies using GNSS location and timing: these technologies, on which they depend, are highly vulnerable to spoofing attacks. In the two years since the experiment, companies and governments have continued to research the potential harm that can be caused by spoofing attacks and are learning more about how to defend themselves from them.
The Tesla experiment was groundbreaking because it was the first time that a level 2.5 autonomous vehicle was exposed to a sophisticated GPS spoofing attack and its behavior recorded.
We chose Tesla’s Model 3 because it had the most sophisticated advanced driver assistance system (ADAS) at the time, called Navigate on Autopilot (abbreviated NOA or Autopilot), which uses GPS to make several driving decisions. However, this experiment exposed several cybersecurity issues potentially affecting all vehicles relying on GPS as part of their sensor fusion for autonomous decision making.
NOA makes lane changes and takes interchange exits once a destination is determined, without requiring any confirmation by the driver. Its several other features include autonomous deceleration and acceleration according to the speed limit, autonomous lane changing, and adaptive cruise control.
These features use a variety of sensors, including cameras, radar, speedometers and more. The researchers wanted to test the extent to which the Model 3 relied on its GNSS receiver to make these driving decisions and how it behaved when receiving contradicting information from its GNSS receiver and its other sensors.
The researchers used hardware and software purchased online to mimic the tools potential hackers would use. The experiment involved two software-defined radio (SDR) devices purchased online, one to spoof GPS and one to jam all other constellations, connected to an external antenna to simulate an external attack. The software used to simulate the GPS signal was downloaded from an online source, available for free.
The test included three scenarios the researchers assumed would involve usage of GNSS, each one using a different spoofing pattern:
Scenario 1. Exiting the highway at the wrong location
Scenario 2. Enforcing an incorrect speed limit
Scenario 3. Turning into incoming traffic
A Tesla Model 3 was remotely hacked in a test of a GPS spoofing attack. (Photo: Regulus Cyber)
Scenario 1: Exiting the Highway at the Wrong Location
The car was driving normally at a constant speed of 95 KPH with NOA enabled. The destination determined for this ride was a town nearby and the car designated a certain interchange as the destination for an autonomous exit maneuver. The experiment began 2.5 km before the vehicle reached that interchange; however, the researchers’ fake GPS signal resulted in coordinates of a location on the same highway but only 150 m before the exit.
As soon as its GNSS receiver was spoofed, the car assumed that it had reached the correct exit and began to maneuver to the right, activating the blinker, slowing down, turning the wheel, and crossing a dotted white line to its right side, exiting to an emergency pit-stop, confusing it with the exit 2.5 km ahead.
To be clear, this would not have happened at any location along the highway, because sensor fusion with the radar and the camera enables the car to avoid physical obstacles and ensures that it does not cross a solid white line that makes a turn illegal.
The spoofing attack succeeded, in that it enabled the attacker to remotely manipulate the car’s sensor fusion and make it exit the highway at the wrong location.
Scenario 2: Enforcing an Incorrect Speed Limit
The car was driving to a random city far away on a highway, at a constant speed of 90 KPH, which was 10 KPH below the highway’s speed limit, with NOA enabled. The researchers generated a fake GPS signal, with the coordinates of a nearby town road that has a speed limit of 33 KPH. Shortly thereafter, the vehicle assumed the speed limit had just changed to 33 KPH and instantly began decelerating. Each time the driver attempted to accelerate using the gas pedal, as soon as he lifted his foot off the pedal the car engaged in heavy braking to quickly decelerate back to 33 KPH.
To be clear, this would not have happened if NOA had been turned off. The cruise mode can be disabled by either using the touch screen or by pressing the brakes, which would allow the driver to regain full manual control over the vehicle’s speed.
Again, the spoofing attack succeeded, in that it allowed the attacker to remotely manipulate the car’s speed and made it enforce a speed limit much lower than the actual one on the highway.
Scenario 3: Turning into Incoming Traffic
The car was being driven manually on a two-lane road with one lane in each direction, the type of road on which NOA cannot be used. The researchers generated a fake GPS signal, with coordinates of a nearby three-lane highway, with all lanes in the same direction. Furthermore, the spoofed location was 150 m from a designated exit that the vehicle’s navigation system was programmed to take, requiring a left turn.
Shortly after the car’s GNSS receiver was spoofed, the vehicle assumed it was on a highway and engaged NOA. Next, it triggered the exit maneuver, which began with activating the left blinker, followed by turning the wheel to the left. The driver had to quickly grab the wheel and manually drive the car back to its lane to avoid a collision with oncoming traffic.
To be clear, this kind of scenario would not be possible without the driver enabling the NOA. Once a Tesla driver enables NOA, it automatically turns on once the vehicle is on the highway with a set destination. This is why the researchers assumed that NOA would be turned on by default, and as long as NOA is activated, the vehicle is susceptible to the attacks mentioned in the experiment.
Once again, the spoofing attack was successful in that it enabled the attacker to remotely steer the vehicle into the opposing lane, placing it on a direct collision course with oncoming traffic. Out of the three scenarios described, this one proved that GNSS spoofing can endanger lives.
The hardware used for the GPS spoofing test. (Photo: Regulus Cyber)
GPS Cybersecurity for Automotive Applications
The NOA system in the Tesla Model 3, being an ADAS, allows drivers to rely on the car and its sensors for basic driving functions. Therefore, it enables drivers to briefly take their hands off the wheel and reduces the number of actions they are required to take. Nevertheless, drivers are still required to be fully attentive to the road so that they can take control of the vehicle at any time.
However, since this spoofing attack had such a sudden and instant impact on the car’s driving behavior, a driver who is not fully attentive and aware would not be prepared to quickly take control and prevent an accident. By the time the driver notices that something is wrong and reacts, it might be too late to prevent an accident. Already drivers have been found sleeping at the wheel, driving under the influence of alcohol, and doing other inappropriate tasks with NOA engaged.
Furthermore, this situation assumes a level 2.5 autonomous vehicle as was tested. But what happens in level 3 vehicles, in which driver engagement is limited, or level 4 and 5, in which driver response is non-existent? This research provides us with a glimpse into the crucial importance of sensor cybersecurity and particularly of GNSS cybersecurity.
The Tesla hack experiment and its results were eye-opening for the autonomous vehicles sector – the danger is real and rising as more and more vehicles are depending on GNSS technology as part of their sensors for assisted or automated driving. Up to 97% of new vehicles since 2019 incorporate GNSS receivers and most if not all are still vulnerable to the same spoofing attacks presented in this research.
In January 2021, the UN’s World Forum for Harmonization of Vehicle Regulations (WP.29) issued Regulation No. 155, which sets guidelines for cybersecurity in the automotive industry with the goal of addressing every possible cyber threat that it might encounter. Annex 5 of the regulation defines cyber attacks and states that in order to get approvals in the future vehicle manufacturers will need to provide solid evidence that their vehicles are sufficiently protected against them.
Among the cyber threats mentioned in the Annex is spoofing of data received by the vehicle — both sybil spoofing attacks and spoofing of messages. The Annex also lists the appropriate protection that vehicle manufacturers should implement and states that vehicle manufacturers will be required to provide evidence of the effectiveness of the mitigation measures they choose. These upcoming regulatory requirements can make the difference between life and death in situations caused by GNSS spoofing and ensure that only reliable and resilient positioning is used within vehicles, both today and in the future.
Please note: Tesla released a statement saying that it is “taking steps to introduce safeguards in the future which we believe will make our products more secure against these kinds of attacks.” Regulus Cyber researchers did not perform any further experiments with Tesla Model 3 since this research was published two years ago.
See the Tesla GPS spoofing experiment from the driver’s point of view:
The surveying profession has experienced a plethora of advancing technology over the past two decades and it does not look like there will be a slowdown any time soon. From robotic total stations to laser scanning to the use of multiple GNSS constellations, the profession is constantly adapting these emerging technologies into a useful tool for daily applications. For most practicing surveyors, it is a challenge to keep up with not just the hardware of these advancements, but also with software, which is being developed in parallel. Have you tried to open and draw a simple figure in any of the industry standard CAD programs lately?
The complexity of these programs, while advancing the capability of many technical professions, forces even the casual user to maintain a regular habit of software education and training. While it may seem primitive to say that a practitioner is a “practicing” surveyor, on-the-job training never stops. Just when the profession thinks there are no more significant advancements, something comes out of left field that truly blindsides us. (See the adoption of UAVS by the surveying profession compared to the public sector…) What do I think will be one of the next “big things” to revolutionize surveying? The technology is already here, and we need to seriously get on board with adoption before we miss another opportunity to highlight the expertise of the profession.
VIRTUAL REALITY and AUGMENTED REALITY (VR & AR)
First, we need to know that virtual reality (VR) and augmented reality (AR) are different, even though many people use these terms interchangeably. The differences are as follows:
Virtual Reality (VR)
VR is a virtual world generated by computers and programming.
VR is a closed environment that is fully immersive.
VR requires a device (specialized glasses and/or a headset).
Users in the VR experience are limited by the programming and their computer’s abilities.
The VR experience may be based upon real-world conditions but is a fictional setting.
Users of VR can travel and experience conditions in real and fictitious places.
VR can allow users to have experiences that are not physically possible in the real world.
VR is 75% virtual + 25% real (industry “rule of thumb”)
Augmented Reality (AR)
AR is typically based on actual physical places.
AR is an open environment that is partly immersive.
In AR, the user controls the environment.
AR combines virtual elements and experiences with real world conditions.
Experiences in AR can be accessed by computer, tablet, and smartphones.
AR is useful for product visualization and evaluation.
AR is 75% real + 25% virtual (industry “rule of thumb”)
It is important to know these difference between the two technologies in order to implement the correct one for the task at hand. However, both will play an important in surveying for generations to come.
One of the surveyor’s biggest responsibilities is to complete an accurate site conditions model by topographic methods. Once the topographic survey is completed, site designers will utilize this information to create a unique project that works with the existing site conditions. Advances in CAD software and technology allow engineers and architects to design in 3D and blend the new site with the existing conditions, drainage, and utilities. These designs can be further refined into virtual reality models to give the project’s stakeholders a better indication of what the final product will be when construction is completed.
The key takeaway here is that the surveyor is responsible for delivering the existing conditions model. A model that accurately represents the subject site but in digital form enables the design of the project to be more efficient and realistic to meet the client’s expectation. Surveyers, however, will not use virtual reality as much as augmented reality, for many good reasons.
USES OF AUGMENTED REALITY TECHNOLOGY FOR SURVEYING
AR is still in its infancy. Because surveyors have an interest in the existing and proposed conditions of sites, the use of AR becomes an important tool for the future. Merging proposed information with existing site conditions can become the norm, but like many emerging technologies, the profession will need to learn how to embrace it.
To get a better idea of how the technology works and why surveyors need to consider using it, let us look at an application that showcases AR: Pokémon Go. Yes, the smartphone game app that took the world by storm in 2016 and captivated many “trainers” to search the streets for Ultra Balls and characters. (There are still more than 100 million active players worldwide.) Players of all ages have continued to search for elusive items and characters in a high-tech scavenger hunt that is constantly changing, and all based upon the real world around us. By merging a real-time view with game entities at random geographic locations, players move about our world using one of the best examples of AR.
How does this apply to the surveying profession? Surveyors could utilize AR in everyday tasks but that would require having a fully developed 3D design model that could merge with the existing conditions in their visual device. There are a variety of devices for utilizing AR, including smartphones and tablets. Many of the new data collectors running Windows and Android operating systems can also be used for incorporating AR into the field operation. Here are some examples of AR how can be utilized for surveying tasks:
While construction staking, AR can be used to assist with structure and improvement location. A quick visual check can help confirm staking calculations are consistent with engineering design.
Use AR to visually check installed improvements, including curbs, utility structures, and paving. Any deviation from the proposed design should be quite evident.
When establishing property corners, AR will help the field crew quickly determine whether the calculated location is accessible. This can be used for staking out pre-calculated boundary points and/or proposed lot corners in a new subdivision.
Here are a few ideas as to how surveyors could utilize AR in everyday tasks in the future:
As public utilities are becoming more available within GIS shape files with geographic locations, they could be utilized with AR to help visually establish locations in the field. Mainline utilities and service lines would become easier to physically verify using AR.
Another GIS shapefile entity, the parcel line layer, could be used to help the surveyor understand where the property owner believes the line(s) to be as opposed to the actual monumented location.
All reference monuments and benchmarks established by public agencies using geographic location information could enhance the “treasure hunt” of confirming local datum points.
SURVEYING USING AR TO PROTECT THE PUBLIC
Geospatial information has revolutionized our world, so using AR to help when trouble strikes can potentially be a lifesaver. Recently, an oceanfront condominium in Florida collapsed due to structural failure. While the age of the structure precluded it from having any digital geographic location data, any new similar development could be measured and recorded to assist with future emergency needs. Almost all new development has digital surveying, engineering, and architecture and must use local horizontal and vertical datums. Using the proposed information and verifying with post-construction record drawings, the digital record can be created.
It doesn’t take a design flaw to create a public hazard. For instance, a gas leak could render any building, such as the Florida condo, susceptible to catastrophic damage. By having a digital model of the underground structure, emergency crews could use AR to help locate potential open spaces in the building. As is the case with installing fire suppression systems and emergency exits, the cost to create a digital model of a completed building will be well worth it to save lives.
Underground utility corridors within cities, campuses, or manufacturing facilities could also utilize geospatial locations to establish a digital map for future use with AR. It will take time and significant cost to map existing facilities, yet it should be required for new sites to provide this information for emergencies and for use when designing expansions within the site. Having this utility information to use with AR during the design phase could lead to identifying potential problems before construction starts.
Haiti after an earthquake. (Photo: 1001nights/E+/Getty Images)
Another reason to plan for future safety is how much uncertainty we face in today’s society. At press time, we are coming up on the 20th anniversary of 9/11. We also just watched Haiti suffer another devastating earthquake. The 2021 hurricane season has also been very active, so that danger looms large, too. Disasters happen all the time with little to no warning. Our world is much more advanced than we were at the turn of the century, so we can use these advancements to map our infrastructure. Let us hope we never need to use the digital information for another disaster akin of 9/11. Instead, let us use it to ensure that we can get to someone in a remote spot if necessary.
THE ROAD TO FUTURE MAPPING AND AUTOMATION
As previously discussed, establishing a digital twin of our world could help provide a better map for establishing parcel ownership, reducing construction conflicts, and offering better planning tools for future expansion. Will it be completed within my lifetime? No, and I doubt it will be done within the next couple of generations after me.
We can, however, get a significant start on capturing the necessary information to begin the process of digitization. Technology has exceeded my expectations just within the past decade, so I can only hope that more advancements will help with building this digital beast. More architects and engineers are utilizing BIM (building information modeling) for 3D design and collaboration. Most municipalities and counties have built some form of GIS that uses one of the standard geographic datums. Surveyors have fully embraced GNSS technology so state plane and national geographic coordinate systems have become the norm. In addition, we are seeing a wide number of consultants use autonomous vehicles (aerial, hydro, and terrestrial) with photogrammetry, LiDAR, and SLAM remote sensing. Another bit of good news is that computing power is higher than ever and that storage space is cheap for all this data. We should also include how 5G has expanded our reach and, with cloud storage, we can work from just about anywhere. We can do so much more than most of us ever dreamed of, so we need to leverage that into creating a digital entity that can be helpful.
Photo: RyanJLane/E+/Getty Images
HOW TO IMPLEMENT THE LATEST TECHNOLOGY
Augmented reality is one of many new technologies surveyors need to introduce into their toolbox. Many of you may be asking where to begin; my answer, depending on your age, may offend you.
Hire a Gen Zer. Really.
As a Gen Xer, I have come to realize my limitations on technology and being able to fully implement it. The Z generation, while lacking the experience of us wily old guys, see things much differently. The smartphone/tablet/computer, and even the latest data collectors, are designed with them in mind. They grew up playing computer games based in virtual reality, developed excellent hand-eye coordination, and find efficient ways of getting things done. Our surveying world is almost completely digital (when is the last time a client only wanted paper copies of a plat?), so now is the time to make the leap and ditch the drafting table. We have as much to learn from them as they do from us. Together, we can get the surveying profession ready for the next generations. It has been a great profession for us, so let us hand it off to the Z generation. They will (eventually) be glad we did.
