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.
GNSS corrections company Rx Networks is collaborating with Zephr.xyz, whose software-based positioning SDK enables sub-meter accuracy on Android devices without requiring specialized hardware.
Through this collaboration, Zephr.xyz has integrated Rx Networks’ TruePoint correction services, extending high-precision GNSS capability worldwide with the reliability, availability and continuity required for commercial-scale deployment.
Operating on a global scale, Rx Networks is a provider of GNSS positioning services for tier-1 OEMs, telecom operators, and enterprise customers. Its services are engineered to ensure a five-nines (99.999%) service level agreement for availability, supporting mission-critical and safety-critical applications where continuity, resilience and predictable performance are essential.
Unlike free, experimental or regionally constrained solutions, Rx Networks’ infrastructure is designed for global availability and long-term operational reliability, making it suitable for large-scale commercial deployments.
TruePoint is Rx Networks’ comprehensive high-precision positioning portfolio, designed to support a broad spectrum of customer requirements. Rather than a one-size-fits-all product, TruePoint has solutions that span
global, regional and localized GNSS correction services
accuracy tiers from decimeter-level to centimeter-level performance
multiple deployment models and price-performance options.
TruePoint is designed to evolve alongside customer needs, supporting everything from early-stage experimentation to large-scale production deployments. While Zephr.xyz leverages TruePoint | FOCUS, the collaboration is not limited to a single TruePoint variant, preserving flexibility as applications mature.
OneNav’s pureL5 more accurate in urban testing without sensor augmentation
Image: OneNav
OneNav is sharing side-by-side test results comparing its pureL5 GNSS receiver customer evaluation system to a leading Android smartwatch.
OneNav is a Silicon Valley, California-based technology company designed to power high-performance positioning for location-dependent mobile services.
In a challenging urban environment, oneNav averaged six times better accuracy than the smartwatch. Both units used commercial-wearable antennas for testing. While the oneNav system used only GNSS measurements, the smartwatch GNSS results were augmented by inertial sensors.
At the 95th percentile, the pureL5 unit reported 8-meter accuracy compared to nearly 29-meter accuracy for the smartwatch; pureL5 accuracy includes artificial intelligence/machine learning algorithms that improve the system over time.
“The L5 signal is more accurate and reliable than L1, it has higher power and wider bandwidth, and it is less jammable,” said Steve Poizner, co-founder and CEO of oneNav. “We looked at where the market is heading, with the wearables and tracking device markets exploding and the demand for higher accuracy increasing, and we asked, ‘Why keep two bands/two RF chains/two antennas when you can get superior performance with just L5?’”
The oneNav team comprises top GNSS experts from Qualcomm, Apple, Intel, SnapTrack, SiRF, Trimble and eRide who have decades of GNSS and mobile industry experience. The team has expertise in GNSS system architecture, multipath mitigation, signal processing, ASIC design and AI/machine learning, and collectively has filed more than 300 career GNSS patents.
Investors include Google Ventures, Norwest Venture Partners and GSR Ventures.
BizStation, a database company based in Japan, and u-blox have announced a highly accurate, compact and low-cost high-precision positioning solution for markets in East Asia and Oceania.
Featuring two u-blox modules, the solution delivers centimeter-level positioning accuracy where mobile network service is unavailable, including in maritime offshore surveying, agricultural and industrial vehicle guidance, and UAVs.
BizStation’s precise point positioning (PPP) system covers all territories served by Japan’s Quasi-Zenith Satellite System (QZSS) MADOCA correction service.
The solution leverages the strengths of two u-blox components. The first, a u-blox ZED-F9P multi-band high precision GNSS receiver module, is at the heart of BizStation’s DG-PRO1RWS GNSS receiver.
The second, a u-blox NEO-D9C correction-data receiver module specific to Japan, enables their virtual reference station to receive data on the QZSS L6E-band used by MADOCA.
The PPM (PPP positioning by MADOCA) Android application developed by BizStation then determines the location of the tracked device using the high-precision positioning data transferred via Wi-Fi from BizStation’s DG-PRO1RWS GNSS receiver as well as GNSS correction data from the virtual reference station. The PPM application performs all required calculations using the MADOCA positioning library developed by NEC Solution Innovators Co., Ltd.
The high-precision GNSS solution can be deployed either using a static or a mobile virtual reference station for a wide range of applications such as agriculture, drones, motor sports or surveying systems.
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.
Professionals can capture high-accuracy laser offsets directly into ArcGIS Field Maps on Android devices with Arrow Series GNSS receivers
Image: Eos Positioning
Eos Positioning Systems Inc. announces the release of its Eos Laser Mapping for ArcGIS solution on Android devices. Previously, the free solution was available only on iOS. It allows mobile crews to capture asset locations from a distance with survey-grade accuracy.
“We are excited to provide this already popular iOS solution also to our customers using Android devices,” Eos Chief Technology Officer Jean-Yves Lauture said.
The solution combines technology from geographic information system (GIS) provider Esri, laser rangefinders from Laser Tech, and Eos’ own Arrow Series GNSS receivers.
“The Eos Laser Mapping solution was extremely well-received with its initial release, so we are excited to see the same features now available for ArcGIS Field Maps users on Android devices,” Esri Field Apps Engineering Lead Jeff Shaner said.
The Eos Laser Mapping release on Android supports three workflows, or mapping methodologies: Standard Laser Offset (sometimes called Range-Azimuth), Range-Range (or Range-Intersect), and Range-Backsight (a total station-like method).
The original laser offset solution was released in 2018 by Eos in partnership with Esri and Laser Tech.
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.
Quectel Wireless Solutions has launched the SG865W-WF, a new generation of flagship Android smart module. The module is equipped with Qualcomm’s QCS8250 system-on-chip (SoC), which offers powerful performance and rich multimedia functions to meet industrial and consumer artificial intelligence IoT (AIoT) scenarios.
Quectel made the announcement at the Consumer Electronics Show (CES) taking place this week in Las Vegas.
With various peripheral interfaces such as dual USB, multiple PCIe and UART, the product can seamlessly integrate with cellular and GNSS modules such as Quectel’s EC20 LTE module, and the RG500Q 5G module, allowing customer terminals to be connected flexibly to 4G/5G networks and achieve faster and more accurate positioning.
The SG865W-WF module will accelerate the efficient deployment of high-end AIoT applications such as video conferencing, cloud gaming, digital signage, unmanned aerial vehicles (UAVs), robots and smart retail.
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.
CHC Navigation has launched its LT700H RTK Android tablet, designed to increase efficiency and productivity of the mobile field workforce in applications requiring centimeter-to-decimeter positioning accuracy.
Photo: CHC Navigation
Portable, rugged and versatile, the LT700H enables precision GIS data collection, forensic mapping, construction site layout, environmental surveys, landscaping and earthmoving jobs.
Powered by 184-channel high-performance GPS, GLONASS, Galileo and BeiDou module and a superior tracking GNSS helical antenna, the LT700H provides position availability in demanding environments. Its integrated 4G modem ensures seamless communication from field-to-office and robust connectivity to GNSS real-time kinematic (RTK) networks corrections.
“With the LT700H RTK Tablet, we are offering a professional and accurate GNSS solution to any mobile applications requiring high-portability,” said George Zhao, CEO of CHC Navigation. “The LT700H enables further use of GNSS technology, from single operator to companies with large field crew.”
Combined with CHCNAV Landstar 7 field data-collection software, the LT700H has a vibrant 8-inch IPS sunlight-viewable screen that perfectly displays GIS data tables, vector and raster maps or high-resolution pictures.
The LT700H Google GMS certification guarantees compatibility with any common GIS and mapping Android applications.