CHC Navigation has launched its LT700 rugged Android tablet. The LT700 is designed to increase the efficiency and productivity of the mobile workforce in different industries and applications.
An integrated GNSS module (GPS/GLONASS/BDS/SBAS) provides robust positioning performance. The LT700 dual-SIM 4G modem ensures fast and reliable connection with mobile teams.
The LT700 tablet features an 8-inch sunlight-viewable touchscreen. It displays geospatial information system (GIS) data tables, complex vector and raster maps, or high-resolution pictures in direct sunshine and high-bright areas, CHC Navigation said.
Unlike consumer-grade tablets, the L700 is intended for mobile field workers. Its industrial IP67 design withstands all-day use in harsh environments and conditions, and is protected from dust, rain, extreme temperatures and accidental drops from 1.2 meters. Rugged design, soft corner bumpers and long battery life provide the LT700 with the capability to perform uninterrupted for a complete working day.
The LT700’s octa-core 2.2-GHz CPU supports running large maps and datasets without any lag or slowdown. Driven by Android 8.1 and bearing the GMS (Google Mobile Service) certification, the LT700 runs seamlessly the most common professional data collection applications available from the Google Play store.
Hexagon’s Geospatial Division launched M.App Enterprise 2019 at its user conference, HxGN LIVE 2019. The latest version of M.App Enterprise integrates capabilities from Hexagon’s Luciad Portfolio to enhance data visualizations, analytics and management.
Designed to monitor assets, evaluate changes, and take action, M.App Enterprise is a privately-hosted platform that allows organizations to deploy Hexagon Smart M.Apps that dynamically address their location-based business problems.
The new features in M.App Enterprise 2019 lay the foundation for users to experience a 5D smart digital reality, where data is connected seamlessly through the convergence of the physical world with the digital and intelligence is built into all processes.
Screenshot: Hexagon Geospatial
“The enhanced M.App Enterprise is now powered by our Luciad technology, which allows users to have the best of both worlds when it comes to data visualization and advanced analytics to communicate information effortlessly, and in real-time,” said Georg Hammerer, chief technology officer – applications for Hexagon’s Geospatial Division. “This unified geospatial enterprise platform can now further enable users and partners to create vertical solutions for their markets and industry segments.”
The Luciad Portfolio integration will allow users to connect to, visualize and examine file-based vector and raster data from their Smart M.Apps in 3D. It also now renders terrain features realistically based on elevation data of the area.
For covering large geographical areas with a higher resolution, M.App Enterprise 2019 allows users to connect to tiled elevation coverages offered by LuciadFusion.
Furthermore, the addition of classification algorithms to the Spatial Workshop user interface enables M.App Enterprise to perform advanced remote sensing with machine learning.
Orion Labs has released Advanced Location Services, a high-accuracy, carrier-independent 3D location platform delivered via Polaris Wireless.
The service provides enterprises and public safety agencies with pinpoint location, indoors and in high-rise buildings, with floor-level and room-level accuracy, a difficult challenge in such GPS-denied environments.
Orion indoor location example (Screenshot: Orion Labs)
The system enables customers to locate team members on the vertical axis accurate to three meters’ distance, to keep teams better-informed and better-connected, enhance team performance and improve worker safety. It works via Orion Sync, a standalone smart walkie-talkie, or as device as a service, in a smartphone form factor.
“For our hospitality and retail customers, this offers the opportunity to greatly improve guest services and the experience they deliver. For public safety and healthcare customers, the integration has the potential to save lives,” said Jesse Robbins, founder and CEO.
According to co-founder and CTO Greg Albrecht, “With 3D location tracking, hospitality teams can easily pinpoint where their guest service workers are located and identify the right team member for faster guest response for tasks like bringing up clean towels to a guest, fixing a TV or lightbulb in a guestroom, or clearing trays and carts,” he said.
The system also protects lone workers. “When lone workers call for help, security teams can rapidly dispatch assistance without the lone worker needing to explain their location,” Albrecht said. “This is the same kind of technology that first responders are now adopting to accurately and rapidly locate 911 callers facing life-threatening situations.”
Hotel workers suffer work-related incidents at a nearly 50% higher rate than other industries. (Photo: Dean Drobot/Shutterstock.com)
Hotel workers suffer work-related incidents, encompassing physical injuries, medical emergencies, theft and sexual harassment, nearly 50 percent more than is the average across all other industries. Large metropolitan hotels can approximate small cities, with as many as 5,000 rooms, 12,000 guests, and 8,000 employees. Even a moderate-sized hotel can have hundreds of employees scattered across many floors, some remote from central operations. Locating employees quickly is key to preventing or minimizing incidents.
Need maps. A fundamental challenge in developing 3D location awareness indoors is the need for accurate, detailed 3D renderings of the physical buildings themselves.
“For most buildings, this has never been done before and is often an arduous task to accomplish,” Albrecht added. “However, there is a mapping process to allow for precise data points to be leveraged within the Orion platform. It’s a very simple task that can be completed even by the hotel staff at the time of setup. After that, it’s extremely simple to set up teams within the Orion System with a 3D view of their property that they can use.”
The latest integration is undergoing tests at locations in Las Vegas and San Francisco, with more than 50 locations actively using the set-up.
Aerial imagery business Nearmap has launched its new 3D product to streamline the way industries such as urban planning, architecture, construction, government and councils view and shape cities across Australia and the U.S.
The company is also previewing its groundbreaking artificial intelligence (AI) technology at its customer event Navig8.
Nearmap 3D allows customers to stream and export 3D imagery on demand at massive scale through its proprietary MapBrowser web application. Because the imagery is updated frequently, businesses can work with the most current information to make more informed decisions.
Nearmap’s new AI technology is turning millions of aerial images — captured over a decade and multiple times a year — into valuable datasets. The datasets can be used to more accurately and efficiently measure change and quantify attributes, such as solar panels, pools, roofs or construction sites.
Organizations ranging from small businesses to large companies and cities will be able to take advantage of AI-driven location intelligence.
“Product innovation is in our DNA. Everything we do has the customer at the core,” said Tony Agresta, executive vice president of product at Nearmap. “Our customers’ worlds are evolving every day. We need to keep innovating to continue to give our customers a competitive advantage through technology breakthroughs like the ones we are sharing today at Navig8.
“Nearmap 3D is the result of a significant investment in R&D, but also listening to our customers and what they need to transform the way they work,” Agresta said. “Accessing 3D imagery up to now has typically been an arduous, time-consuming and expensive process — but not anymore. This represents the single largest, most frequently updated footprint of 3D accessible through a browser. The ability to measure in 3D space, size up an area and then export Nearmap 3D for use in other platforms will transform the aerial imagery market.
“The AI technology that we’re working on will allow organizations to identify locations with specific attributes and in so doing, reduce site visits, generate more leads, and eliminate the time involved to inspect properties manually. Nearmap AI does the heavy lifting so you don’t have to,” Agresta said.
Composite aerial image of Perth, Australia. (Image: Nearmap)
Instant access to 3D through MapBrowser
Nearmap is making 3D imagery accessible to anyone, in the same way it has with 2-D. While Nearmap has offered 3D imagery since 2017, this new iteration of the technology allows users to instantly stream 3D content at massive scale via its MapBrowser web application.
The lightweight platform offers customers an immersive 3D experience, allowing them to visualize cities in 3D from any direction, measure distances, and immediately export a custom area in a variety of 3D formats at unprecedented speed — the download time is a matter of minutes for most requirements and only a few hours for very large footprints.
“It’s like switching from DVDs to streaming services,” said Tom Celinski, executive vice president of technology and engineering at Nearmap. “Our camera technologies have been capturing 3D since 2017, but now our secret sauce is bringing it onto MapBrowser, allowing users to easily and instantly stream this content with many export options. Now users can visualize, measure, define a custom area, export our 3D and use it in their workflows with other commercial platforms and tools. We’re helping 3D experts and novices alike access reality like never before, and this is an important next step in our Reality as a Service journey.”
Nearmap 3D comes with an extensive library, covering more than 400,000 square kilometers. It is updated once a year and covers major urban areas in Australia and the U.S.
“We live in a 3D world, we think in 3D, and so we have to ensure that our products give the closest representation of reality as possible,” Celinski said. “That means businesses that rely on visualizing 3D content, like architects, for example, can now access up-to-date 3D models instantly and export them in just minutes. In a tender process, for example, that can be the difference between winning a new project or not. The opportunities for Nearmap 3D are endless.”
3D image of Manhattan. (Photo: Nearmap)
A living data set
Nearmap AI technology is the result of more than two years’ worth of research and development, and a team of close to 20 data scientists and machine learning engineers. The team, led by Dr. Michael Bewley, is using the petabytes of imagery that the business has captured over the past 10 years and turning it into a living dataset to accurately identify changes or quantify attributes from the Nearmap library of aerial imagery.
Nearmap has built highly accurate machine learning models and deployed them on a massive scale. The automated process, and the constantly learning engine, means that the AI technology can be applied to any new geography. Nearmap also applies the models to new surveys, generating fresh results with current imagery.
To date, Nearmap has performed analysis on over 1 million square kilometers of imagery across Australia and the U.S. (which constitutes about 80 million properties) and is performing more analysis every day. Nearmap is now inviting customers to take part in a beta program to experiment with various use cases.
“We don’t prescribe how our technologies or content can be used by our customers,” said Michael Bewley, director of AI systems at Nearmap. “Our solar customers could use the AI technology to easily identify where and when solar panels have been installed for maintenance jobs, to prospect new clients in an area where solar energy’s popularity is on the rise; or a government entity that previously had the arduous task of tracking swimming pools or construction in their jurisdictions will be able to do it automatically.”
“But this is the tip of the iceberg — we’re just getting started. This technology is going to profoundly change the way that cities are built,” Bewley said. “Our plans include delivering AI results in many forms, much the same way we deliver our imagery today.”
Both technologies will be presented at Nearmap’s flagship event, Navig8, in Perth on June 6, Melbourne on June 11 and Sydney on June 13.
Topcon Positioning Group has released its next-generation flight-planning system for its rotary-wing aerial UAV offering.
The new Intel Mission Control Software is designed to facilitate automated flight planning, managing missions and data handling for the Intel Falcon 8+ drone – Topcon Edition and its available payload options.
The software is designed to increase accuracy with advanced mapping features that allow operators to easily set project parameters and prepare missions using presets for 2D areas such as polygon, corridor and city grid, as well as 3D structures like towers, buildings and facades.
“Operators can take advantage of 2D and 3D map views with the ability to import more precise project details and parameters, including restricted airspace, and support to adapt flight planning over difficult terrain,” said Charles Rihner, vice president of planning for Topcon Emerging Business.
“It features the ability to import elevation, KML, GeoTIFF and Shapefiles for real life visualizations targeted for accurate planning. Plus, expanded preset options support automated flight including circle of interest, panorama, and 2D and 3D missions with automatic elevation and terrain adoption,” Rihner said.
Additionally, the software includes automatic pre-flight safety and system checks while in mission planning. “Operators will receive detailed communication such as estimated battery life, airspace integration, ground and object safety limits, maximum dive and climb rate, minimum and maximum altitude, camera speed, number of images, camera storage, GSD check, and target photo coverage and quality,” Rihner said.
The flight-planning software is also designed to improve data handling and export to support easier data processing.
“It includes automated image matching and geotagging of images during data import, for increased time saving. Operators can preview and inspect the quality of the collected data, including individual images, as well as an overview of data coverage. Then, they can quickly and easily access and export flight data, and filter datasets for easier processing,” Rihner said.
2019 Aquatic Airshow participants at Androscoggin River in Auburn, Maine, on May 1. (Photo: Mario Martin-Alciati, USGS)
The U.S. Geological Survey (USGS) and independent scientists gathered this month in Auburn, Maine, to evaluate the use of sensor-mounted unmanned aircraft systems (UAS) to gauge stream stage, velocity, bathymetry and discharge.
The technology is being evaluated and modeled to determine whether it will support the fast, accurate and safe measurement of rivers, especially when they are flooded or contain floating trees, ice or other debris.
Close to two dozen hydrologic, geospatial and scientific experts gathered in what has been dubbed the “2019 Aquatic Airshow” to assess the technology. They were led by John Fulton of the USGS Colorado Water Science Center, Jack Eggleston of the USGS Water Mission Area Hydrologic Remote Sensing Branch, and Joe Adams and Sandy Brosnahan of the USGS National UAS Project Office.
The USGS Water Mission Area works with partners to monitor, assess, research and report on a wide range of water resources and conditions, including streamflow, groundwater, water quality, water use and water availability.
The testing involved equipping drones with noncontact sensors, including ground-penetrating radar for measuring river depths, doppler velocity radar and cameras with velocimetric analysis for measuring water surface velocities and calculating mean-channel velocities; and high-resolution cameras for photogrammetric mapping of surface topography and vegetation structure.
All the evaluated sensors were equipped with GNSS receivers; some with RTK correction capability. Most of the drones used were equipped with a low-grade inertial measurement units (IMUs) for navigation.
Team members from the USGS Water Science Centers in Colorado, New England and Virginia collected ground-truth river monitoring data with acoustic doppler current profilers deployed from a boat and multiple other surveying techniques to verify the accuracy of the drone-based stream data.
Woolpert Chief Scientist Qassim Abdullah was one of two scientists from the private sector asked to participate in the airshow. Abdullah has more than 40 years of experience in analytical photogrammetry, digital remote sensing, and civil and surveying engineering.
For the event, Abdullah devised a process in which the data collected by the drones underwent Pix4D triangular adjustment to produce three-dimensional models of the water surface and river edges to assist the modeling of river velocity using the drone-based doppler velocity radar and large-scale particle image velocimetry.
USGS scientists are in the process of evaluating the data and modeling produced by this testing to conclude whether this technology will prove beneficial.
Abdullah said the airshow was a success due to the varied contributions from each member of the team, their diverse backgrounds and their shared focus on water research.
“This was a great example of how a public-private partnership can work together to activate and elevate necessary, groundbreaking technologies to address worldwide issues,” Abdullah said. “Airshow team members brought different perspectives, processes and applications to the testing, which not only proved essential for this project but will help with many others moving forward. I love working with this group and look forward to continuing to help advance these vital technologies.
With more than 80 percent of the world’s oceans unmapped, the deep ocean is one of the last unknown areas on Earth. On May 31, teams with unique exploration solutions were honored with the Shell Ocean Discovery XPRIZE.
XPRIZE is a global competition to advance ocean technologies for rapid, unmanned and high-resolution ocean exploration and discovery. The teams invented new technologies for rapid, unmanned and high-resolution ocean exploration and discovery.
The results were revealed at an awards ceremony hosted at the Oceanographic Museum of Monaco, part of the Oceanographic Institute, Prince Albert I of Monaco Foundation.
The grand prize winner, receiving a total of $4 million, was GEBCO-NF Alumni, an international team based in the United States, while KUROSHIO, from Japan, claimed $1 million as the runner-up.
GEBCO-NF Alumni was led by Rochelle Wigley, Ph.D., and Yulia Zarayskaya, Ph.D. The 14-nation team integrated existing technologies and ocean-mapping experience with a robust and low-cost unmanned surface vessel, the SeaKIT, along with a novel cloud-based data processing system that allows for rapid seabed visualization, to contribute towards comprehensive mapping of the ocean floor by 2030.
Runner-up was KUROSHIO, from Yokosuka, Japan, led by Takeshi Nakatani, Ph.D. The team integrated technologies from their partners to create a surface vessel and software platform that can operate with different autonomous underwater vessels, which increases the versatility of their technology.
Field Testing. To determine winners, the panel of independent judges reviewed data from field testing conducted in Kalamata, Greece, and Ponce, Puerto Rico. In Kalamata, teams had up to 24 hours to map at least 250 square kilometers of the ocean seafloor at five meters horizontal resolution or higher.
The gold-standard high-resolution baseline maps, against which the team maps were judged, were provided by Ocean Infinity and Fugro, while Esri, the global leader in geographic information system (GIS) software and geodatabase management, donated its ArcGIS Online platform for the teams and judges to use.
NOAA Prize. The $1 million National Oceanic and Atmospheric Administration (NOAA) Bonus Prize went to teams for developing technology that could detect a chemical or biological signal underwater and autonomously track it to its source. The award was split between junior high school team Ocean Quest from San Jose, California, which claimed $800,000 as the winner, and Tampa Deep Sea Xplorers, from Florida, taking $200,000 as runner-up.
Additionally, the judges unanimously recommended a $200,000 Moonshot Award for Team Tao from the United Kingdom for its unique approach to seafloor mapping, even though they did not meet the criteria of the competition.
As part of the total $7 million prize purse, four teams opted to compete for the $1 million NOAA Bonus Prize. In a field test in Ponce, Puerto Rico, teams needed to demonstrate that their technology can “sniff out” a specified object in the ocean by first detecting and then tracing a biological or chemical signal to its source.
The judges determined that no single team was able to trace the signal to its source in the timeframe allowed, so the prize was divided among the two teams that came the closest. In 2018, nine finalist teams were awarded an equal share of the first $1 million of the $7 million prize purse, in recognition of their progress-to-date and to support the teams’ continued technological development.
Seabed 2030 and science fiction. As part of its post-prize impact work, XPRIZE announced a partnership with Seabed 2030, a collaborative project between The Nippon Foundation and The General Bathymetric Chart of the Oceans (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.
Additionally, and in anticipation of World Oceans Day on June 8th, XPRIZE will launch a science fiction ocean anthology featuring 19 original short stories and artwork set in a future when technology has helped unlock the secrets of the world’s oceans.
The new senseFly Solar 360 UAV is designed to enable the automated and efficient inspection of solar farms.
Photo: SenseFly
SenseFly has introduced its senseFly Solar 360. Created in collaboration with software company Raptor Maps, the offering is an efficient thermal drone solution that enables the automatic assessment of solar plant performance at a sub-module level, the companies said.
Created by combining eBee X fixed-wing drone technology, senseFly’s Duet T thermal mapping camera and Raptor Maps’ software, senseFly Solar 360 is a fast and fully automated drone. It is easily integrated into solar management workflows without requiring either drone piloting skills or the manual analysis of aerial solar farm data.
“At senseFly we are continually looking across the industry to identify new commercial partners with whom we can bring to market what our customers need, which is vertically-focused end-to-end solutions,” said Gilles Labossière, CEO of senseFly.
“With Raptor Maps, we are collaborating with a true solar industry pioneer,” Labossière said. “Their software takes the guesswork out of solar farm inspection and, crucially, speeds up this process — from days down to hours. This efficiency, combined with the eBee X’s large coverage and reliability, ensures that farm owners and operators — or the drone service providers they employ — can inspect utility-scale solar farms more quickly, easily, and accurately than ever before.”
“Solar power is the largest source of new energy generation in the world,” said Nikhil Vadhavkar, CEO of Raptor Maps. “This rapid growth has fueled demand for industry-specific solutions to allow solar customers to scale. Our enterprise-grade software has been deployed across six continents and 25 million solar panels to increase power production and reduce risk and maintenance cost across solar portfolios. We are proud to collaborate with senseFly, the industry leaders in commercial fixed-wing drones, to increase access to Raptor Maps while providing a comprehensive, end-to-end solution that scales with the solar industry.”
We’ve all been there before: static on our wireless call or, worse, the call drops at the most inopportune time. Like instant response when we surf the web, consumers have come to expect clear, consistent call connections when using mobile. With too much of a bad thing, the churn risk soars to untenable heights.
5G, shorthand for Fifth-Generation Wireless Systems, holds the promise of transforming our daily lives. Using massive bandwidth, extremely low latency and high speeds, almost everything that requires sending and receiving data gets a boost. Unique radio frequencies transmitted with precise directions improve on the older 4G approach by taking advantage of higher frequencies. The signals take less time to transfer from one device to another, dramatically reducing wait times.
How does this help business and the consumer? Video conferencing is better, call connections are clearer, and smart homes get their Ph.D. How does this become reality?
Rather than using satellite-based towers, 5G depends on shorter signals using antennas and other transmission devices installed closer to the ground, on the tops of buildings and existing utility poles. Herein lies the rub. Ground features such as trees or tall structures can interfere with transmission. On top of this, there’s the need to plan for change. Vegetation grows over time, new construction takes place, and the cycle of interference continues. Imagine trying to plan a 5G network in an urban environment replete with hundreds or thousands of tall buildings. How would a telecom decide where to place the hardware and optimize the network?
The answer rests in aerial imagery, also known as aerial mapping. Rather than relying on satellite imagery that’s less clear and prone to atmospheric conditions, high-resolution camera systems mounted inside planes are photographing the world — all in 3D. Within predefined coverage areas, every point on and above the ground is being photographed and transformed into a variety of 3D models. For the telecom industry, planners can predict zones of interference and place hardware accordingly. They can better service their customers and quickly adapt to changing conditions in support of maintaining the network.
One type of output from these advanced camera systems is called a digital surface model, providing detailed elevation profiles of ground features, building, bridges, you name it. Also knows as DSM, the elevation detail contained within the imagery facilitates analysis to optimize the placement of 5G antennas and transmission devices.
When combined with other forms of imagery that allow users to clearly visualize every aspect of the landscape in photorealistic, immersive 3D, this enables telecoms to quickly model all the transmission permutations.
These high-tech companies use machine learning to identify clear signal areas and sections of the landscape where a tree, for example, may degrade the 5G radio frequency. Armed with such intelligence, strategic placement of hardware unlocks the optimized network — all without having to leave the office to collect data from the field.
The race is on to roll out 5G. Fortunately, advances in aerial photography have been combined with machine learning and artificial intelligence (AI) to speed up network planning and change modification. With tens of thousands of access points needed for large cities, advanced uses of aerial imagery and data science provide the answer for fast 5G deployment.
Less than a decade ago, mobile mapping systems were being designed and sold using computer systems that rivaled most desktop computers. Mobile mapping vehicles had to be custom-fit for large displays and computer systems, usually with large, expensive, bulky redundant arrays of inexpensive disk (RAID) storage systems that would consume the back of a van or, at the very least, the back seat of a car. Wiring for these systems completely entangled the vehicle, making it a dedicated part of the mapping system. Many of these systems are still being used today, as their utility is only lost on space consumed but not on usability or productiveness.
In 2019 we face the ever-increasing demand for smaller size with greater performance, especially in the instance of UAVs, where size, weight and power consumption are precious commodities.
Wires? Nobody wants or expects to see any wires or cabling running between devices, with the possible exception of power. A desktop computer, laptop or RAID system is no longer a consideration. Storage is replaced by high-speed, high-capacity media such as Compact Flash, Flash memory cards, and solid-state drives.
And all of those wires? They are replaced by Wi-Fi or Bluetooth working directly between the onboard microprocessor (at most the size of a deck of cards) and what else? Your cell phone. Maybe a tablet.
The inertial navigation system inside these UAVs, the central nervous system of a mobile mapping set-up, can no longer afford to weigh several kilograms. It must weigh under 1 kilogram, with less than 500 grams preferred. The accompanying antennas must also shrink.
At the same time, cost must drop while performance must be maintained or improved. More users will adopt the technology, and they will no longer be experts. Reliability and durability will be of utmost importance.
A tool developed by Mapbox explores “10 years of OpenStreetMap.” During that decade, hundreds of thousands of people mapped 25 million miles of roads in every country in the world.
The internet tool uses a slider to show the data change over time. You can see additions and edits as they come online over the decade — a fascinating look at the intricate information that has been compiled. When a user drags the slider to the left, it’s easy to see how scant the information was only a few years into OpenStreetMap’s existence (the image at right shows the same European region in 2009 as the image at the top in 2015).
The same European region in 2009 as the image at the top in 2015. (Image: OpenStreetMap)
After GPS and GNSS, OpenStreetMap ranks high in the movement to make geographic information accessible. OpenStreetMap is a community-driven project to create the most detailed, correct and current open map of the world.
When Steve Coast began the project in 2004, map data sources were few, and largely controlled by private companies and the government. Coast changed the rules by creating a wiki-like resource of the entire globe, which everyone could use. Today, 5.2 million people use OpenStreetMap.
OpenStreetMap democratized mapping: all a contributor needed was time and a computer connection to add data about their country or their neighborhood. Besides GNSS, contributors use aerial imagery and low-tech field maps to verify that OSM is accurate and up to date. Others dedicate their energies to humanitarian projects, including disaster response following the Haiti hurricane and aiding South Sudan and Syrian refugees.
Cepton Technologies Inc., a provider of 3D lidar solutions for automotive, industrial, security and mapping applications, has unveiled its newest lidar scanner, the SORA-P60L.
Part of Cepton’s SORA family of lidar scanners, the new scanner is purpose-built to deliver long-range, high-resolution imaging for unmanned aerial vehicles (UAVs).
The SORA-P60L offers a 400-Hz frame rate, enabling drones to fly faster while maintaining high point-cloud density. With a 550-gram payload, the SORA-P60L prolongs UAV flight time allowing more ground to be covered in a single trip, the company said.
Cepton’s unique Micro-Motion Technology faces all lasers downward at all times, providing a dense, uniform point cloud that, in combination with the high scan rate, makes it suitable for fixed-wing and fast-moving rotary-wing UAVs.
“Cepton’s SORA-P60L leads the lidar industry with its best-in-class point cloud density that provides superior imaging for UAVs,” said Neil Huntingdon, Cepton’s VP of business development. “With the affordable price point, long-range capabilities and high frame rate of SORA-P60L, UAVs can capture data faster and build more accurate maps. SORA-P60L is our first product from the SORA family that we have unveiled this year. We see a lot of opportunities for this unique sensor in other markets and have a number of products in development that will be revealed later this year.”
A roundup of recent products in the GNSS and inertial positioning industry from the April 2019 issue of GPS World magazine.
OEM
GNSS receiver
With embedded 9-DOF IMU
Photo: Rokubun
The Argonaut GNSS receiver is able to provide geo-location with real-time accuracy of 2 meters and off-line accuracy better than 0.4 meters using Argonaut PaaS. This is possible because GNSS raw measurements, together with inertial measurement unit (IMU) nine-degrees-of-freedom (9-DOF) measurements, are stored for offline GNSS processing (PPK, RTK, DGNSS). Argonaut will also register external events such as camera triggers within microsecond resolution and decimetric geo-location accuracy. The embedded IMU allows for an increased rate of navigation fixes as well as robust solutions in scenarios with impaired GNSS availability. Rokubun, rokubun.cat
Galileo AltBOC addition
Plus atmospheric corrections
Photo: Skydel Solutions
SDX GNSS simulator update version 19.1 adds Galileo AltBOC signal generation, new atmospheric errors, SBAS improvements and SV antenna patterns. SDX users licensed with the Galileo E5 signal will be able to generate 8 Phase Shift Keying (8-PSK) constant envelope AltBOC after upgrading to SDX 19.1. Version 19.1 also adds a new error type to all SDX users: atmospheric delays. These errors can be compensated for with the SBAS option installed. Skydel Solutions, skydelsolutions.com
Wavefront simulator
Added to software-defined platform
Photo: Skydel Solutions
The BroadSim Wavefront Simulator is a new addition to Skydel’s software-defined platform. The BroadSim Wavefront further extends the capabilities achieved by BroadSim Anechoic, incorporating support for controlled radiation pattern antenna (CRPA) and multi-element receiver testing. Powered by Skydel SDX, the simulator’s features include phase-coherent simulation, real-time automated phase calibration, scalability from 4 to 16 elements, and advanced jamming and spoofing scenarios. Talen-X, www.talen-x.com
GNSS antenna
For high-precision and autonomous applications
Photo: Maxtena
The M7HCT-A-SMA is a high-accuracy, multi-frequency active quadrifilar helix GNSS antenna designed for high-precision and autonomous multi-frequency applications. The design offers concurrent GNSS reception on L1 (GPS, GLONASS, Galileo, Beidou) and L2 (GPS L2C, Galileo E5B and GLONASS L3OC) in a rugged, compact and ultra lightweight form factor. The antenna is designed for GIS, RTK and other high-accuracy GNSS applications such as the drone and automotive markets. Helicore technology provides exceptional pattern control, polarization purity and high efficiency in a 25-gram form factor. The antenna offers up to 30-dB gain for GNSS applications in one radome housing with a single SMA connector. Maxtena, maxtena.com
Portable simulation
Solution for field-test requirements
Photo: CAST Navigation
The CAST-1000 duplicates GPS RF signals and uses dual-frequency signal generation technology. This allows for duplicate testing in the laboratory or the field and real-time or configured control. The CAST-1000 is mobile and portable, which makes it the ideal solution for field test requirements. Producing GPS and GLONASS signals with up to 12 satellites in view, the CAST-1000 simulates signals for satellites of P code on L1 and L2 and C/A code on L1. The GPS RF signal is dual-frequency and has a 12-channel configuration for any combination of visible space vehicles. The system is highly programmable — operators can choose from an array of vehicle types and replicate dynamic motion for all kinds of vehicles, from terrestrial to aquatic, airborne to space-based. By utilizing 6-DOF dynamic profile data collected in the field and through profile configuration, a trajectory can be created. The CAST-1000 also features a performance evaluation module, allowing for comparisons between raw and filtered data. CAST Navigation, www.castnav.com
Survey & Mapping
Graphing software
New plotting features
Photo: Golden Software
Version 14 of the Grapher scientific graphing package offers new plotting and customizing functionality based on user feedback. The Grapher software gives users deeper insights into their data by providing them with 80 flexible and easy-to-use 2D and 3D graphing tools for plotting, analyzing and displaying scientific data sets. The package is used extensively by scientists and engineers in oil & gas operations, hydrologic/geochemical studies, environmental consulting, mineral exploration and academic research. New or upgraded features include Enhanced Plotting (the ability to plot data in rows and columns, perform one-button Durov class plots, and easily generate multi-plot reports); and Improved Bar Charts (bar charts are more versatile, offering variable bar widths and differentiated fill colors for negative and positive). Golden Software, www.goldensoftware.com
GIS software update
New lidar functionality
Photo: Blue Marble Geographics
Global Mapper version 20.1 offers new and updated geospatial tools, as well as performance improvements throughout the application. Enhancements to version 20.1 include a new zooming function in the path profile window, a digitizer tool for automatically closing gaps between features and, for lidar module users, a point proximity query function. Blue Marble Geographics, www.bluemarblegeo.com
Survey application
For the geospatial industry
Photo: Global GNSS
The GNSS Surveyor mobile application provides location information and quality position data in real time with sub-meter to centimeter accuracy. It connects to any external GNSS receiver via Bluetooth. Features include a one-touch configured command to communicate directly with the GNSS Bluetooth device; location information and quality of the position data in real time with centimeter accuracy; GPS data such as position, height, satellites and velocity; and constellation information for GPS, GLONASS, Galileo, BeiDou, QZSS and SBAS satellites. It also includes a direct IP feature for real-time kinematic (RTK) corrections data. An internal NTRIP client loads RTCM data from the internet. Location information is collected as latitude and longitude, altitude, speed or pace, bearing and UTC time. GNSS precision includes global coverage, centimeter-level accuracy, fast time to first fix, multi-constellation and multi-band, and highest security. Navigation uses include ground robotics navigation, lane-level navigation, heavy machine navigation, industrial navigation and tracking, and commercial UAV. Global GNSS, globalgnss.com
Indoor mapping
Slam technology removes point cloud artifacts
Photo: NavVis
The SLAM-based NavVis M6 Indoor Mobile Mapping System (IMMS) now automatically detects and removes point cloud artifacts, including moving objects in static scenes. The latest IMMS release removes artifacts from point clouds during the post-processing of scan data (see before and after image above). Fringe points and dynamic objects are two common types of point cloud artifacts that affect all 3D laser scanning devices. The NavVis M6 IMMS uses laser scanners to capture a high volume of measurement points of an environment. With the latest software update, the algorithms applied during the post-processing of scan data uses the multiple observations to detect whether measurement points actually exist in the physical space. If it is determined that the point does not exist and is instead resulting from the laser beam hitting an edge or an object moving through the space, this point is automatically removed. The result is a much cleaner, crisper point cloud that requires less clean-up time in point-cloud editing software and that is easier to use for applications such as BIM modeling. NavVis, www.navvis.com
Mobile & UAV
Adventure handhelds
Larger display, improved access to Satellite imagery
Photo: Garmin
Garmin has updated two premium adventure-oriented handhelds, the GPSMAP 66s and the GPSMAP 66st, with expanded wireless connectivity, direct-to-device access to BirdsEye satellite imagery, weather forecasting and a larger 3-inch sunlight-readable color display. The GPSMAP 66st offers preloaded topographic maps for U.S. and Canada, with detail of coastlines, rivers, summits, terrain contours and geographical points. Connectivity to the new Garmin Explore app and the BirdsEye Satellite Imagery (no annual subscription) bring high-resolution photo-realistic route views. Weather updates come via Bluetooth to a compatible mobile device. The Explore app includes features for outdoor navigation, trip planning, mapping and data sharing. Features include multi-GNSS satellite support and altimeter, barometer and compass sensor capabilities; 16 hours of battery life in full GPS mode; LED flashlight and SOS beacon; built to military standards for thermal, shock and water performance (MIL-STD-810G); RINEX data logging that enables sub-meter accuracy of GPS position after post processing. Garmin, garmin.com
RTK Hexacopter
Integrated GNSS improves accuracy
Photo: Yuneec International
The H520 hexacopter is now available with a real-time kinematic (RTK) system. The fully integrated RTK satellite navigation enables extremely accurate recurring images and faster 3D mapping. It also makes automated inspection flights easier and more precise. The H520 RTK is suitable for commercial applications that require maximum precision. By using RTK technology, the H520 can now fly much closer to objects for inspection because the UAV positions itself precisely in the centimeter range (1 cm + ppm horizontal / 1.5 cm + ppm vertical) rather than in the meter range, which is standard for the H520. Yuneec International, us.yuneec.com
Web-based data service
Enables sharing of UAV data sets
MAGNET Collage Web is a web-based service enabling the sharing and collaboration of UAV and scanning data sets. Version 1.3 allows operators to work with more types of data with greater flexibility, including the ability to import BIM models, as well as CAD and GIS data. It can be used to overlay as-built laser scans and design data to visualize proposed changes and detect construction issues. The software supports OBJ, FBX and 3DS formats. The upgrade also includes new direct publishing functionality for CAD and GIS data files through the browser. Topcon, topconpositioning.com
