Digital Mapping Group, a pioneer in high-accuracy GNSS solutions for more than two decades, has released FastXY, a powerhouse mapping application for iOS and Android.
FastXY is designed to transform standard mobile devices into professional-grade data-collection tools for geospatial information system (GIS) and architecture, engineering and construction (AEC) professionals.
As the industry shifts away from bulky, proprietary hardware, FastXY offers professionals the ability to collect point, line and polygon data with the devices already in their pockets. Unlike “lite” mapping apps, FastXY delivers advanced capabilities including 3D basemaps, construction staking, topographic surveying, on-the-fly datum transformations, and survey-grade elevations.
Credit: Digital Mapping GroupCredit: Digital Mapping GroupCredit: Digital Mapping GroupCredit: Digital Mapping GroupCredit: Digital Mapping Group
One of FastXY’s most disruptive features is its built-in Bluetooth data parser. This allows users to configure the app to collect data from virtually any instrument supporting BLE Bluetooth or RS-232 — including echosounders, radiation sensors, laser rangefinders, barcode scanners and more — and marry that data instantly with precise GNSS coordinates.
“Our goal to create the most useful GNSS field data collection software for iOS/Android that uses the latest software tools,” said Ryan Skeele, software engineer. “The power of iOS/Android mobile devices increases every year, and we intend to iterate quickly to provide users more powerful solutions in the field.”
Available in two versions: Free and Premium
Essentials (free version)
High-accuracy ready. Works with device internal GNSS or Eos Positioning Systems’ Bluetooth receivers.
Offline-first approach. No internet connection required for field editing/data collection.
Rich visualization. 3D basemap featuring satellite, terrain and building overlays.
Smart logic. Attribute picklists with computational operations.
Survey-grade datum support. Real-time horizontal and vertical datum transformations.
Professional powerhouse (premium version)
Advanced point staking, auto-topographic data collection and cross track navigation.
Hardware integration. Full support for Eos Positioning Systems’ Skadi Tilt compensation and Smart Handle hardware.
Sensor hub. Connect to echosounders, laser rangefinders, barcode readers, radiation sensors, and other instruments with the external instrument configurator.
Advanced field workflow. Import Trimble Data Dictionaries, CAD/GIS files, KMZ/KML, and drone-captured raster imagery.
Post-processing. RINEX data collection and direct OPUS submission for static post-processing.
“We’re excited to offer an app for high-precision AEC users that runs on the mobile device in your pocket,” said Eric Gakstatter, principal GNSS consultant and former GPS World survey editor. “Separately, the unique Sensor Hub feature allows FastXY to consume data from almost any external instrument, combining it with high-precision GNSS data.”
FastXY is available for download today on the Apple App Store and Google Play. For more information, visit fastxy.com.
Digital Mapping Group
Founded 24 years ago, Digital Mapping Group has deployed tens of thousands of high-accuracy GNSS solutions globally. Their expertise spans utilities, public works, AEC, environmental, transportation and government sectors.
Several interesting things, according to geologists who study data from the global network of geodetic-quality receivers. A team at the University of the Basque Country found the Iberian Peninsula rotating clockwise as Africa closes on Eurasia by 0.2 inches per year (5 mm), near Gibraltar and the Alboran region. Meanwhile, in a process called lithospheric dripping, Earth’s crust is sinking under Central Turkey despite being part of a broader region that has been uplifting for millions of years, according to University of Toronto researchers. Meanwhile, in the U.S. Pacific Northwest, seismic data collected during a National Science Foundation study shows the Cascadia subduction zone actively breaking apart.
Making better robots with GNSS
Image: Robosat Project
Autonomous robot navigation in the wild using satellite-based 3D geographical information (Robosat) aims to provide a scalable multi-GIS high-quality data collection platform through using a quadrupedal robot that can autonomously perform long-distance missions in challenging environments, such as the Alps or Finnish forests. Researchers from Finland, Switzerland, Spain and Romania gathered at Tampere University in Finland to share data, identify relevant GIS and GNSS datasets, and leverage AI for autonomous labeling of large-scale data. Key topics included integrating multi-sensor and multi-GIS data to enhance positioning, planning pilot tests with ETH’s ANYmal robot (pictured) and TAU’s new I/Q GNSS grabber device, and discussing methods for AI-driven data labeling for massive datasets collected in field trials.
It’s all happening downtown
Image: Getty Images / Ivan Pantic
Researchers from Shandong Jianzhu University and the China University of Mining and Technology describe a new smartphone positioning strategy in the Dec. 15, 2025, issue of Satellite Navigation. They use a positioning framework that combines 3D map constraints with multiple GNSS observations. By integrating time-differenced carrier-phase information with probabilistic road matching and factor graph optimization, the approach reduces ambiguity in candidate positions and enhances robustness against non-line-of-sight signals. In field tests, the method outperformed existing smartphone GNSS techniques, delivering more reliable location estimates and smoother trajectories even in severe urban canyon conditions.
2,000 and counting
Image: Getty Images / rvimages
The International Air Transport Association (IATA) has called for vigilance following the increasing number of GNSS spoofing and jamming incidents worldwide. The growing interference poses a significant risk to flight navigation and pilot safety. Of note is a spike in incidents at major Indian airports. Almost 2,000 GNSS interference incidents have been logged at airports in India since 2023, including the airports in Delhi, Mumbai, Kolkata, Amritsar, Hyderabad, Bengaluru and Chennai. IATA represents more than 360 airlines, accounting for 80% of global air traffic.
Tersus GNSS has updated its surveying smartphone app, Nuwa. The latest version includes features such as vector map import and digital surface stakeout.
The Nuwa app runs on Android and is reliable, and easy to operate. It has rich and powerful functions that can help surveyors complete measurements more efficiently and accurately.
The app is designed to work with the David and Oscar GNSS receivers from Tersus GNSS, plus other receivers that support NMEA-0183.
New features in Nuwa version 2.3.3.2 include:
Vector map import and stake. The new version supports importing vector maps in DXF, LandXML, KML, and KMZ formats in the import module, optimizes the loading speed of vector maps for display in the Survey and Stakeout interface, and allows direct clicking to select points and lines on vector drawings for staking.
Digital surface stakeout. The new version supports importing DXF files containing 3dface entities and LandXML files containing surfaces, manually selecting points to form Delaunay TIN, and entering surface offsets for fill and cut value interpolation calculations in Surface Stakeout.
Update version description. Now, when receiving a version update, the highlights of the latest version are displayed directly in the application, including essential or market-focused features and fixes for issues.
Existing features of Nuwa include:
Ability to configure base, rover and static surveys
Graphical interface with background map (online/import)
This graphic represents measurements uploaded via the CAMALIOT app by thousands of volunteers. (Image: ESA)
More than 11,000 people around Europe and the world have turned their smartphones into GNSS monitoring tools by downloading the CAMALIOT app, so far delivering more than 53 billion measurements of meteorology and space weather patterns to researchers, according to the European Space Agency (ESA).
ESA asks CAMALIOT volunteers to leave their smartphones by a window each night with GNSS on. The phones record small variations in satellite signals, gathering data for machine-learning analysis. More than 50 smartphone models with dual-frequency receivers can use the app.
CAMALIOT was developed through ESA’s Navigation Innovation and Support Programme (NAVISP) with the support of the agency’s Navigation Science Office through its GNSS Science Support Centre. The combination of GNSS data, smartphone access and machine learning in support of science is a priority research line of ESA’s Navigation Science Office.
GNSS signals undergo scintillation as they pass through irregular plasma patches in the ionosphere. This electrically charged upper atmospheric layer is continuously changing, influenced by solar activity, geomagnetic conditions and the local time of day. Dual-frequency GNSS receivers can compensate for this effect by comparing their two frequencies.
As these signals head to Earth, they are also modified by the amount of water vapor in the lower atmosphere, helping to forecast rainfall in particular.
“Fixed satnav stations already monitor these effects, but these smartphone-based measurements are boosting our coverage hugely. We’re very gratified by all the support we’ve received,” said Vicente Navarro, ESA navigation engineer. ”These results will then undergo a Big Data machine-learning analysis, seeking out previously unseen patterns in both Earth and space weather.”
Formally known as the Application of Machine Learning Technology for GNSS IoT Data Fusion project, CAMALIOT is run by a consortium led by ETH Zurich in collaboration with the International Institute for Applied Systems Analysis.
Sit(x) running on an iPhone. (Photo: PAR Government))
PAR Government, a provider of geospatial and decision support solutions for 57 years, has rebranded its TeamConnect cloud-based situational awareness suite as Sit(x). The commercial Sit(x) solution is designed for enhanced collaboration among government and civilian public safety organizations. PAR Government Systems Corporation (PGSC) is a wholly owned subsidiary of PAR Technology Corporation.
The Sit(x) solution enables individuals and teams to communicate directly by text or symbology and share real-time full-motion video (FMV), geographic information system (GIS) layers, imagery, GPS-derived locations, raster maps, photos and documents.
To complement the Android and Windows support already available in Sit(x), PAR is offering a free iOS app, giving Apple smartphone users access to the technology.
“The Sit(x) name better reflects the ability to provide effective situational awareness for any situation,” said Mark Kozak, PAR Government vice president of Product Innovation. “This results in faster, more informed decision making at the command level and in the field.”
Sit(x) is a TAK server-as-a-service solution based on the Team Awareness Kit (TAK) situational awareness technology that PAR Government developed for the U.S. defense and intelligence community under contract to the Department of Defense. This technology has been deployed under demanding conditions by every branch of the U.S. armed forces over the past decade.
PAR Government created the Sit(x) TAK server-as-a-Service offering specifically to enable real-time communication and information sharing between non-connected public safety personnel during rapidly evolving multi-jurisdictional situations, both planned and unexpected. These include large public gatherings, such as sports events or concerts, and emergency incidents related to terror attacks or natural disasters.
“Sit(x) can save lives, time, and resources by federating unrelated police and fire departments, U.S. government agencies, volunteer search-and-rescue groups, and even private security firms to collaborate as one coordinated entity during a major event,” Kozak said. “Due to its TAK lineage, Sit(x) opens the lines of communications between civilian public safety and the U.S. military, as well as our allies, with no export restrictions.”
The PAR Government Sit(x) offering is a subscription to the Sit(x) TAK Server-as-a-Service software suite in the cloud. Ready in minutes, Sit(x) scales to handle teams of any size and is protected with end-to-end secure connectivity. The suite provides complete lifecycle management – event preparation, rehearsal, training, dynamic response, post-mission playback and analysis, and new response simulation.
The investment by subscribing agencies is minimal because there is no computer hardware to purchase, and the end-user applications are available from the Google Play Store or Apple App Store for free. All server operations and software maintenance are managed 24/7 in the cloud by PAR.
Pix4D is now offering a real-time kinematic (RTK) rover for use with iOS devices.
The Pix4D viDoc RTK handheld rover attaches to iOS devices to bring RTK accuracy to terrestrial scanning on iPhones and iPads.
When paired with the PIX4Dcatch mobile app, the viDoc rover can replace survey tools such as RTK GNSS rovers and terrestrial scanners, the company said.
Together, the products create a workflow that turns iPhones or iPads into an accurate terrestrial scanning device, with centimeter-accurate RTK positioning from an existing NTRIP network.
The tools can be used to 3D model small areas or structures.
Trimble has introduced the Trimble Catalyst handle, which adds a new level of flexibility to accessing GNSS data. The lightweight, ergonomic handle provides a convenient way to carry Trimble’s Catalyst-enabled mapping and field data-collection workflows.
Users can:
choose their device, whether iOS or Android, which turns any smartphone or tablet into a Trimble-quality handheld positioning system
swap out a device at any time, whenever an upgrade is needed
adjust accuracy level as requirements change by switching the accuracy-based Catalyst subscription
affix a monopole when decimeter-level or better positions are crucial.
Bad Elf LLC now provides an integrated laser-offset workflow for acquiring high-accuracy field data in GNSS-challenged environments using Esri ArcGIS Field Maps for Android.
The workflow integrates Bad Elf and Laser Tech (LTI) hardware in collaboration with ArcGIS technology from Esri.
“Extending compatibility to the Android mobile operating systems further promotes our commitment to the bring-your-own-device (BYOD) professional,” said Larry Fox, vice president of marketing and business development at Bad Elf. “As a member of the Esri Partner Network, we are pleased to collaborate with Esri in offering this capability to our Android customers.”
The Bad Elf Flex connects to any LTI TruPulse rangefinder over a wired or Bluetooth connection to deliver high-accuracy location data to Esri ArcGIS Field Maps. Mobile workers can efficiently complete position and height data collection in access-limited situations, saving time, money and effort.
“With the inclusion of Android support, Bad Elf introduces a powerful and innovative solution for accurate location offset and height data capture that extends the capabilities of ArcGIS Field Maps across all supported platforms,” Esri Product Lead Jeff Shaner said.
Bad Elf’s app workflow focuses on enhancing productivity, reducing field collection difficulties, and mitigating quality issues. The Bad Elf app workflow runs on Android and iOS. Connection versatility minimizes operating system limitations and allows for app-based or standalone operation.
Bad Elf also provides free tools for Esri ArcGIS Desktop and ArcGIS Pro for configuring offset-enabled point-feature capture using the ArcGIS Field Maps on iOS and Android.
Segway has launched a smart lawn mower, the Navimow. The autonomous mower uses GNSS to navigate and stay inside the programmed perimeter, set in an accompanying smartphone app.
According to Segway, Navimow uses a GNSS-based “Extra Fusion Locating System” that help the mower achieve centimeter-level positioning accuracy while mapping out a working perimeter. Rather than using a perimeter wire to prevent the lower from leaving grid, Navimow combines multi-sensory data to create a virtual map while cutting grass in addition to using GNSS.
The company has introduced four models, for lawns ranging from 500 square meters to 3,000 square meters. All cut lawns from 30-60 millimeters on a maximum slope of 45 degrees.
During its runtime, the robot uses its smart navigation system and intricately plans the most effective cutting route. When necessary, it can make changes in direction to create a systematic pattern.
Orbit Logic’s SpyMeSat mobile app (available via the Apple App Store and Google Play) now includes an augmented reality (AR) interface for better awareness of overflying imaging satellites. The AR view overlays the orbit and position of satellites that can image your location, providing a better understanding of satellite viewing geometry and potential obstructions. For example, it makes it possible to know if an image taken by that satellite of your position would be obscured by a tree or a building. The AR interface also displays relevant information about the satellite and its capabilities, including the timing and dynamic geometry of the pass as well as the resolution achievable by satellite sensors.
In addition to real-time imaging satellite awareness, SpyMeSat provides on-demand access to recent archive satellite imagery and the ability to request new tasking directly from a mobile device. Multi-phenomenology data (optical, infrared, synthetic aperture radar, and more) is available through an in-app process of preview, select, payment, and delivery that can be completed in seconds, providing archived satellite imagery for any location on demand. When archive imagery is insufficient and new data is required, users can review available satellites, better understand the data collection environment through the AR interface, and purchase tasking based on cost, responsiveness, and capability.
While the standard SpyMeSat enables marketplace interactions between the public and commercial satellite imagery providers, Orbit Logic also develops custom mobile applications for better situational awareness and easier data-access/tasking supporting specific missions. The new AR interface will enhance these users’ mission effectiveness by facilitating better understanding of how data collection might be impacted by surrounding terrain or other spatial factors. Examples of bespoke SpyMeSat deployments include government versions for government assets and versions for awareness of satellite communications opportunities for contact scheduling, data transfer, and command uplink.
Orbit Logic specializes in mission planning and scheduling solutions for aerospace and geospatial intelligence. Its COTS products create better plans faster with fewer resources for all mission phases. Orbit Logic services are available to configure, customize, and integrate its mobile, web-based, desktop, and flight software applications to provide turn-key operational solutions that leverage the latest available technologies to meet customer goals and exceed their expectations.
Originally posted in the Android Developers Blog, the following is reprinted with permission from authors Frank van Diggelen, principal engineer, and Jennifer Wang, product manager, Google.
At Android, we want to make it as easy as possible for developers to create the most helpful apps for their users. That’s why we aim to provide the best location experience with our APIs like the Fused Location Provider API (FLP). However, we’ve heard from many of you that the biggest location issue is inaccuracy in dense urban areas, such as wrong-side-of-the-street and even wrong-city-block errors.
This is particularly critical for the most-used location apps, such as rideshare and navigation. For instance, when users request a rideshare vehicle in a city, apps cannot easily locate them because of the GPS errors.
The last great unsolved GPS problem
This wrong-side-of-the-street position error is caused by reflected GPS signals in cities, and we embarked on an ambitious project to help solve this great problem in GPS. Our solution uses 3D mapping aided corrections, and is only feasible to be done at scale by Google because it comprises 3D building models, raw GPS measurements, and machine learning.
The December Pixel Feature Drop adds 3D mapping aided GPS corrections to Pixel 5 and Pixel 4a (5G). With a system API that provides feedback to the Qualcomm Snapdragon 5G Mobile Platform that powers Pixel, the accuracy in cities (urban canyons) improves spectacularly.
Image: Frank van Diggelen
Image: Frank van Diggelen
Pictures above show a pedestrian test, with Pixel 5 phone, walking along one side of the street, then the other. Yellow = Path followed, Red = without 3D mapping aided corrections, Blue = with 3D mapping aided corrections.
Why hasn’t this been solved before?
The problem is that GPS constructively locates you in the wrong place when you are in a city. This is because all GPS systems are based on line-of-sight operation from satellites. But in big cities, most or all signals reach you through non line-of-sight reflections, because the direct signals are blocked by the buildings.
Diagram of the 3D mapping aided corrections module in Google Play services, with corrections feeding into the FLP API. 3D mapping aided corrections are also fed into the GNSS chip and software, which in turn provides GNSS measurements, position, and velocity back to the module. (Image: Frank van Diggelen)
Image: Frank van Diggelen
The GPS chip assumes that the signal is line-of-sight and therefore introduces error when it calculates the excess path length that the signals traveled. The most common side effect is that your position appears on the wrong side of the street, although your position can also appear on the wrong city block, especially in very large cities with many skyscrapers.
There have been attempts to address this problem for more than a decade. But no solution existed at scale, until 3D mapping aided corrections were launched on Android.
How 3D mapping aided corrections work
Image: Frank van Diggelen
The 3D mapping aided corrections module, in Google Play services, includes tiles of 3D building models that Google has for more than 3,850 cities around the world. Google Play services 3D mapping aided corrections currently supports pedestrian use-cases only. When you use your device’s GPS while walking, Android’s Activity Recognition API will recognize that you are a pedestrian, and if you are in one of the 3,850+ cities, tiles with 3D models will be downloaded and cached on the phone for that city. Cache size is approximately 20MB, which is about the same size as 6 photographs.
Inside the module, the 3D mapping aided corrections algorithms solve the chicken-and-egg problem, which is: if the GPS position is not in the right place, then how do you know which buildings are blocking or reflecting the signals? Having solved this problem, 3D mapping aided corrections provide a set of corrected positions to the FLP. A system API then provides this information to the GPS chip to help the chip improve the accuracy of the next GPS fix.
With this December Pixel feature drop, we are releasing version 2 of 3D mapping aided corrections on Pixel 5 and Pixel 4a (5G). This reduces wrong-side-of-street occurrences by approximately 75%. Other Android phones, using Android 8 or later, have version 1 implemented in the FLP, which reduces wrong-side-of-street occurrences by approximately 50%. Version 2 will be available to the entire Android ecosystem (Android 8 or later) in early 2021.
Android’s 3D mapping aided corrections work with signals from the USA’s GPS as well as other GNSS: GLONASS, Galileo, BeiDou, and QZSS.
Our GPS chip partners shared the importance of this work for their technologies.
Francesco Grilli, vice president of product management at Qualcomm Technologies Inc.:
“Consumers rely on the accuracy of the positioning and navigation capabilities of their mobile phones. Location technology is at the heart of ensuring you find your favorite restaurant and you get your rideshare service in a timely manner. Qualcomm Technologies is leading the charge to improve consumer experiences with its newest Qualcomm Location Suite technology featuring integration with Google’s 3D mapping aided corrections. This collaboration with Google is an important milestone toward sidewalk-level location accuracy.”
Charles Abraham, senior director of engineering, Broadcom Inc.:
“Broadcom has integrated Google’s 3D mapping aided corrections into the navigation engine of the BCM47765 dual-frequency GNSS chip. The combination of dual frequency L1 and L5 signals plus 3D mapping aided corrections provides unprecedented accuracy in urban canyons. L5 plus Google’s corrections are a game-changer for GNSS use in cities.”
Yenchi Lee, deputy general manager of MediaTek’s Wireless Communications Business Unit:
“Google’s 3D mapping aided corrections is a major advancement in personal location accuracy for smartphone users when walking in urban environments. MediaTek’s Dimensity 5G family enables 3D mapping aided corrections in addition to its highly accurate dual-band GNSS and industry-leading dead reckoning performance to give the most accurate global positioning ever for 5G smartphone users.”
How to access 3D mapping aided corrections
Android’s 3D mapping aided corrections automatically works when the GPS is being used by a pedestrian in any of the 3850+ cities, on any phone that runs Android 8 or later. The best way for developers to take advantage of the improvement is to use FLP to get location information. The further 3D mapping aided corrections in the GPS chip are available to Pixel 5 and Pixel 4a (5G) today, and will be rolled out to the rest of the Android ecosystem (Android 8 or later) in the next several weeks. We will also soon support more modes including driving.
Android’s 3D mapping aided corrections cover more than 3850 cities, including:
North America: All major cities in USA, Canada, Mexico.
Europe: All major cities. (100%, except Russia & Ukraine)
Asia: All major cities in Japan and Taiwan.
Rest of the world: All major cities in Brazil, Argentina, Australia, New Zealand, and South Africa.
As our Google Earth 3D models expand, so will 3D mapping aided corrections coverage.
Google Maps is also getting updates that will provide more street level detail for pedestrians in select cities, such as sidewalks, crosswalks, and pedestrian islands. In 2021, you can get these updates for your app using the Google Maps Platform. Along with the improved location accuracy from 3D mapping aided corrections, we hope we can help developers like you better support use cases for the world’s 2B pedestrians that use Android.
Continuously making location better
In addition to 3D mapping aided corrections, we continue to work hard to make location as accurate and useful as possible. Below are the latest improvements to the Fused Location Provider API (FLP):
Developers wanted an easier way to retrieve the current location. With the new getCurrentLocation() API, developers can get the current location in a single request, rather than having to subscribe to ongoing location changes. By allowing developers to request location only when needed (and automatically timing out and closing open location requests), this new API also improves battery life. Check out our latest Kotlin sample.
Android 11’s Data Access Auditing API provides more transparency into how your app and its dependencies access private data (like location) from users. With the new support for the API’s attribution tags in the FusedLocationProviderClient, developers can more easily audit their apps’ location subscriptions in addition to regular location requests. Check out this Kotlin sample to learn more.
Qualcomm and Snapdragon are trademarks or registered trademarks of Qualcomm Incorporated. Qualcomm Snapdragon and Qualcomm Location Suite are products of Qualcomm Technologies Inc. and/or its subsidiaries.