Photo: Point One Navigation

Point One Navigation has released a new “Tags” feature for its precise positioning Polaris network.

The Tagging feature aims to simplify building and using positioning networks and systems for a wide range of applications including surveying, construction, fleet management, AgTech, robotic devices, UAVs and autonomous vehicles.

With this upgrade, users can access streamlined searchability, precisely defined analytics and the ability to control devices at scale. According to Mark Wilkerson, Point One Navigation’s Product Manager, “The most powerful aspect of our tagging system is that it fundamentally changes the way customers can integrate their systems with ours.”

Users can now work with P1’s API as if it were one of their native applications. The tagging features allow users to query data in the system using their native IDs, model numbers, regions and more.

It now supports real-time operations with Point One’s GraphQL subscriptions API and features a device search UI in the web app. This allows users to filter and query their devices by tags, connection status or attributes. By using the new search feature, support teams can quickly pull up all active devices and display them on a map in real time. Changes made in either the web app or the API update in real-time.

<p>The post Point One Navigation launches new features for Polaris Network first appeared on GPS World.</p>

Wangjie Zhao, an employee of CHC Navigation. (Photo: CHC Navigation)

For decades, surveying — which consists largely of making measurements to determine the relative positions of points above, on or beneath Earth’s surface — had much higher accuracy than mapping for geographic information systems (GIS) — which is mostly based on aerial photogrammetry for base maps and field data collection of the locations of features. When I started in this field a quarter century ago, we typically classified GPS receivers as survey grade, resource grade or consumer grade, with “resource grade” referring to field data collection for GIS.

Today, however, the accuracy of all receivers has greatly increased — thanks to improved chipsets, new GNSS constellations, and a plethora of corrections services — and those three categories are no longer relevant. Therefore, surveying and mapping are increasingly overlapping.

For this cover story, I asked the same three questions about mapping and surveying to representatives of four companies. 

CHC Navigation — Rachel Wang, product manager of survey and engineering product line

Hexagon — Craig Hill, VP marketing and services, surveying solutions, Leica Geosystems

OxTS — Geoff Besbrode, product marketing executive

Trimble — Chris Trevillian, director of product marketing, Geospatial Solutions

Additionally, click below to read insights from:

• Aaron Nathan, CEO and founder of Point One Navigation, explains the ways in which construction firms rely on GNSS signals.
• Raphael Goudard, global mobile mapping segment manager, Leica Geosystems, part of Hexagon, discusses the power of mobile mapping for transportation infrastructure.

Surveying and mapping are increasingly overlapping. What are the remaining differences between them, in terms of accuracy requirements and challenges in the field?

CHC Navigation
While advances in technology such as lidar and photogrammetry are narrowing the gap, there are still notable differences between surveying and mapping. Surveying often requires centimeter- or even millimeter-level accuracy at specific points. In contrast, mapping focuses on collecting dense 3D data over large areas. Although the accuracy of mapping point clouds is steadily increasing, the integration of ground-based GNSS data collection with aerial imagery and lidar is becoming widespread. Mapping tends to be less labor-intensive and involves fewer safety risks in the field, but it requires a unique skill set, particularly in point cloud processing.

Hexagon
Traditionally, surveying and mapping differ primarily in their accuracy requirements and application scales; however, this paradigm is changing with mapping becoming increasingly accurate. Surveying focuses on high-precision geospatial data of specific points. From road, rail and tunnel construction to high-rise buildings, there is no substitution for the precision delivered by surveying equipment and procedures. In contrast, mapping focuses on larger areas.

Recent advancements in sensor technology, including both airborne and mobile mapping systems such as the Leica CityMapper-2 and the Leica Pegasus TRK, have significantly improved the efficiency and precision of mapping, bringing it closer to the levels achievable with traditional surveying equipment.

OxTS
Surveying comes with a large overhead during the data collection process. It requires meticulous preparation and attention to detail to achieve high accuracy in the raw data. GNSS quality, lever arms, user operation, etc., can all cause problems later on. Getting any part of the process wrong can have major cost implications through having to redo the process.
Mapping is focused on the act of aligning that data to datums and control points after the surveying process is completed but it also requires major attention to detail in aligning coordinate frames and origin points in order to avoid baking in any errors that lead to mistakes being made once the map data is handed over to a customer

The problem is that if the surveying process wasn’t accurate, the mapping process will not have a solid foundation in the raw data to deliver accurate maps, so they are inherently tied to each other.

Trimble
Surveyors today have many tools in their toolbox, giving them flexibility across surveying and mapping applications. There are many highly accurate, easy-to-operate data capture systems to choose from these days, but challenges grow when combining and analyzing vast amounts of data from different sensors in the office to provide final deliverables. This has made field-to-finish software that delivers technological integration, workflow optimization and adaptability essential for the job.

Mapping projects often require less accuracy, but a lot of advanced survey technology is entering the mapping domain (e.g., mobile mapping and laser scanning) because of easier field operations and increasing understanding of the value of rich data to asset management.

The data were collected in and around a car park to prove how Lidar Inertial Odometry (LIO) can be used to retain accuracy for longer periods without GNSS updates. (Photo: OxTS)

What is your company’s niche in surveying/mapping?

CHC Navigation
CHC Navigation (CHCNAV) has been at the forefront of positioning and navigation for more than two decades, continually adapting to meet the diverse needs of the surveying and mapping industry. Our innovative solutions often lead the industry in providing end-to-end, integrated technology fusion — GNSS, inertial measurement unit (IMU) and imaging lidar — as a standard that empowers geospatial professionals worldwide. CHCNAV strives to provide accessible, value-added solutions from the start, positioning itself as a key technology enabler for the geospatial community.

Hexagon
Whether you are mapping an entire city or surveying a site for construction, capturing reliable and precise geospatial data is essential. Hexagon’s niche lies in its commitment to innovation, its extensive portfolio and the convergence of superior hardware, intelligent software solutions and expert services — enabling precise, efficient and scalable surveying and mapping for diverse needs. Our multitude of solutions, whether handheld, tripod-mounted, flying, or vehicle-mounted, are designed to collect data efficiently and safely from complex or dangerous environments — enabling the greatest accuracy and high-value deliverables.

Furthermore, Hexagon is uniquely positioned with its robust suite of software solutions that work seamlessly with our hardware, such as Reality Cloud Studio, Leica Cyclone, Leica Captivate or Leica Infinity for collecting, processing, modeling, analyzing, and presenting data. We offer end-to-end solutions that not only provide high accuracy but also ensure productivity and ease of use.

OxTS
OxTS offers localization and georeferencing technology that can help accelerate the collection of high accuracy survey data, allowing more work to be completed in a given time frame without compromising on accuracy.

Trimble
Trimble is known for offering a wide range of highly accurate and reliable data capture sensors but our “niche” — our truly unique offering — is our ability to offer comprehensive solutions that make our customers more productive and their projects more streamlined. We do this through hardware and software solutions that enable highly efficient survey and mapping workflows that connect field and office operations. Our software helps transform the captured data into true information utilizing an increasing number of AI-powered tools while our cloud services allow customers to share the data with a variety of stakeholders, unlocking the transformational power of geospatial data.

What is your latest surveying/mapping product? What are its key specs, markets and applications?

Hexagon
Among our surveying and mapping solutions, the Leica BLK ARC stands out with its flexibility to integrate with various robotic and mobile carriers. The BLK ARC provides autonomous laser scanning with static and dynamic scans, creating 3D digital twins and ensuring operator safety. Similarly, the Leica BLK2GO introduces an agile, handheld mobile scanning solution, capturing point clouds and images, with a user-friendly design. Both solutions are great allies for professionals requiring accurate, efficient, and versatile mobile scanning solutions.

For those looking to offer wide-scale data-capturing capabilities and overcome capacity constraints, the Leica Pegasus TRK mobile mapping system stands out because it can gather extensive data quickly and accurately. Its high-resolution data capture, advanced lidar technology, and enriched 3D point cloud capabilities ensure detailed and comprehensive datasets. Building on this range of solutions, the autonomous flying laser scanner Leica BLK2FLY enhances surveying efficiency by capturing hard-to-reach areas and environments. Its user-friendly operations, advanced obstacle avoidance and seamless cloud-based data integration make it a valuable tool for enhanced productivity and safety in surveying work.

CHC Navigation
Our latest offering, the RS10, demonstrates the integration of surveying and mapping technologies by combining GNSS RTK, laser scanning and visual SLAM into a unified platform. The RS10 enhances traditional GNSS capabilities with V-lidar and SFix technologies. V-lidar enables non-contact offset measurements up to 15 m, ideal for rover applications. Meanwhile, SFix technology leverages laser and visual SLAM data to deliver 5 cm accuracy within one minute in environments with weak or absent GNSS signals. This breakthrough enables accurate GNSS measurements in challenging environments such as indoor spaces and urban canyons, bringing simplified workflows and increased productivity to professional surveying and mapping.

OxTS
OxTS recently released Lidar Inertial Odometry (LIO), which offers improved localization in GNSS-obstructed environments while maintaining a fully global frame output. It means that survey data can retain accuracy for longer in harsher GNSS environments but doesn’t give up the global reference to coordinate frames used by surveyors and does not require ground control points to be anchored to those coordinate frames.

Trimble
The newly released Trimble Business Center (TBC) v2024.00 delivers on its commitment to innovation by offering technological integration and workflow optimization, as well as adaptability and innovation for the ultimate field-to-finish workflow. A key highlight in the new release is the seamless integration of survey data delivery for pavement inspection within AgileAssets, which bridges the gap between Esri and Autodesk through feature services for more efficient pavement management.
In addition, AI technologies provide enhanced point cloud classification and new feature extraction routines for game-changing analysis of aerial, terrestrial, mobile mapping and tunneling data. Collaboration also is greatly enhanced through Trimble Connect for seamless data integration across TBC and Trimble Access field software.

Josh Humphriss, surveyor at Storm Geomatics Limited, surveys a stream with a Trimble GNSS system in Shipston-on-Stour, Warwickshire, England in 2022. (Photo: Michael Dix, Marketing Communications Manager, Trimble, Inc.)

<p>The post Surveying & Mapping: Overlapping technologies and professions first appeared on GPS World.</p>

Photo: richard johnson / iStock / Getty Images Plus / Getty Images

GNSS technology has become integral to construction work. In particular, firms rely on GNSS signals in four critical areas.

Site surveys
Surveying always has been a foundational aspect of construction planning. Mapping and staking the construction site is essential in preparing to break ground and build on site. Surveyors begin the task of bringing engineering plans from vision to reality.
This work may take place from the air and on the ground, and it now typically involves a vast array of tools to ensure accuracy, including drones, cameras, lasers, sensors, and GNSS signals. The data from GNSS are critical in helping surveyors and engineers create “digital twins” — virtual representations of the physical site they can update in real time to ensure the site matches the plan.

Robotics
Robotics have further transformed the work of construction, both in terms of site surveying and the work of building. Rovers, drones and construction robots can execute various tasks to improve project efficiency and save money.
Once again, GNSS signals play a critical role in ensuring robots carry out their tasks effectively and accurately. Land surveying rovers, for instance, rely on real-time satellite data to navigate construction sites and mark spots for construction with pinpoint precision.

Damage prevention
Construction work is highly invasive, penetrating the ground where hidden power, gas and water lines lie. Misfires during this process can have substantial cost implications or even be life-threatening for construction crews.
Construction firms can use GNSS receivers and other complex instruments to prepare for excavation. These tools provide detailed location information for underground pipes and wires and ensure contractors don’t damage critical underground infrastructure and cause costly delays or dangerous work conditions.
Engineers also can use GNSS data to pinpoint where future utility lines will be, ensuring construction does not get in the way of laying pipelines to bring the constructed building online.

Site inspections
GNSS data continue to play a critical role while construction work unfolds. As builders lay foundations, frame buildings and add finishes, engineers and inspectors can collect site reports and use satellite data to update digital twins and verify the work is on track.
With updated and accurate digital twins, planners have a real-time view of the work in progress, which they can use to inform plans, budgets and timelines as the project unfolds.

<p>The post Precision demands in the construction industry first appeared on GPS World.</p>

Photo: Calian

Calian GNSS, formerly Tallysman Wireless, has released its TW5387 industrial-grade smart GNSS antenna. It integrates the Quectel ST TESEO V GNSS receiver chipset onto the Calian compact smart GNSS antenna platform to offer dual-band GNSS, eXtended filtering, low phase center variation, low signal-to-noise ratio and dual feed and patch for strong multi-path rejection.

The TW5387 comes with RTK rover capability and a built-in IMU for sensor fusion. It is designed to minimize RF impairments that affect the performance of the GNSS receiver and provide GNSS coordinates to the host system over a robust digital interface for noise resilience.

TW5387 is suited for automotive, UAV, robotics and defense applications that require precise location and timing. TW5387 is compatible with N-RTK correction services such as Point One Navigation’s Polaris and Swift Navigation’s Skylark.

It tracks GPS, Galileo, BeiDou and L1/L5 band operation and is housed in an industrial-grade IP69K enclosure.

<p>The post Calian introduces smart GNSS antenna first appeared on GPS World.</p>

Image: Point One Navigation

GNSS has transformed the way both individuals and machines navigate across the globe, leading to a growing number of organizations utilizing positioning data in the development of products and applications. GNSS technology plays a crucial role in enabling autonomous vehicles, robots, logistics fleets, and emergency response systems to accurately determine the precise locations of places, people, and things on Earth’s surface. As a result, routes are not only more accurate and efficient but also safer.

As a satellite-dependent navigation system, various atmospheric and technological factors can impact the accuracy and precision of GNSS signals. These signals often need to be corrected by receivers before they can be used for positioning, and various correction methods exist today to achieve this. Each method has its own advantages and disadvantages, catering to diverse accuracy requirements and application scenarios.

Five causes of GNSS signal inaccuracies

When choosing the best GNSS correction method for a specific project, it is important to comprehend signal errors and their underlying causes. GNSS errors result from a combination of elements, such as ephemeris inaccuracies, disparities in satellite clocks, conditions in the ionosphere and troposphere, and inconsistencies between various satellite systems. Each signal correction method addresses these elements differently, resulting in pros and cons that must be weighed before selecting and implementing a solution.

1. Inaccurate ephemeris data

To calculate their position on Earth, GNSS receivers need to know the exact position in space of the satellites they use. Satellite positioning and orbital parameters are represented in ephemeris data, but sometimes this data is incorrect. Ephemeris inaccuracies cause the receiver to not know the satellites’ exact positions, thereby degrading the accuracy of their position calculation.

2. Differences in satellite clocks

Even the highly accurate atomic clocks on GNSS satellites can introduce errors in the timestamps receivers use to calculate positions. The exceptionally high speed at which GNSS satellites travel in space (approximately 7,000 mph) adds another layer of complexity to these calculations because even a nanosecond of difference can lead to substantial positioning errors.

3. Conditions in the ionosphere

The ionosphere, the outermost layer of Earth’s atmosphere, consists of charged particles that can affect the speed of light and radio signals as they pass through it. Fluctuations in solar radiation and other ionospheric conditions can result in delays or distortions in GNSS signals, introducing measurement errors that require correction for precise positioning. Although the influence of the ionosphere can result in significant signal interpretation errors, correction methods can effectively model and account for them.

4. Conditions in the troposphere

Weather, which occurs in the troposphere, the innermost layer of Earth’s atmosphere, also impacts GNSS signals as they travel from satellites in space to receivers. Temperature, humidity, and pressure can affect the speed of light and radio signals much like the charged particles of the ionosphere, leading to even more delays and distortion in GNSS calculations. However, because weather is highly localized, tropospheric errors must be modeled and corrected from a relatively close distance to achieve the level of accuracy needed for precise positioning.

5. Group delay (code bias)

Different countries and organizations around the world operate GNSS satellites. While they are generally aligned, minor discrepancies in time references and frequencies exist that can impact the accuracy of GNSS positioning. This is known as group delay or code bias and must also be corrected to ensure that signals are interpreted correctly.

Types of GNSS corrections

Understanding the origin of errors is critical when selecting the optimal GNSS signal correction method for a particular product or application. Each method has advantages and disadvantages ranging in importance depending on the application of GNSS positioning

Real-time kinematic positioning (RTK) correction is widely regarded as the best method for achieving precise GNSS signal correction. It requires setting up a base station with a GNSS receiver at a very well surveyed location near the target area (usually within 30-50 kilometers), which transmits corrections to the end user’s GNSS receiver (called the rover). The proximity between the base station and the rover mitigates the impacts of signal errors. Any signal disparities that do exist can be analyzed to measure positional differences between the base and the rover, enabling the latter to calculate its position very precisely.

Real-time kinematic positioning (RTK) yields efficient and highly precise GNSS corrections but requires an extensive network
of base stations to support receivers across a large geographic area. (Image: Point One Navigation)

However, classical RTK solutions have a notable limitation: to achieve corrections over wide areas they require an extensive infrastructure of base stations, which can significantly escalate costs. Therefore, RTK is best for autonomous vehicles and consumer navigation and sub-optimal for positioning applications in remote areas.

Precise point positioning (PPP) utilizes a limited number of highly precise and accurate stations to correct GNSS signals. The PPP algorithm divides the responsibility for correction between these stations and GNSS receivers. As a first step, the PPP stations model various known sources of error within GNSS, such as ephemeris inaccuracies, clock discrepancies, and group delay. They then transmit this information to GNSS receivers to conduct further calculations based on local conditions and refine the error estimation. By combining the accumulated signal data with the known error sources provided by the PPP stations, GNSS receivers gauge both global and localized errors (including ionospheric and tropospheric effects), ultimately calculating the necessary signal corrections for accurate positioning.

Despite its high accuracy, the limited number of existing PPP stations results in a longer time for signal correction. Using the PPP method, signal correction may take approximately 20-25 minutes. Particularly challenging conditions can further prolong the time needed to correct the signal, as the receiver independently calculates both ionospheric and tropospheric effects.

PPP is best for heavy equipment operating in open water or remote locations and sub-optimal for consumer GNSS receivers and autonomous vehicles.

Precise point positioning (PPP) produces accurate signal corrections, but at a much slower speed than other solutions. (Image: Point One Navigation)

The forefront of GNSS signal correction technology today is state space representation (SSR). In addition to providing ephemeris, clock, and code bias discrepancy data like PPP, SSR offers valuable insights into other signal accuracy factors, even the highly localized interferences caused by the ionosphere and troposphere. Nonetheless, many GNSS receivers lack the capability to effectively process and convert this extensive data into meaningful positions. To address this challenge, SSR data can be transformed into a virtual base station (VBS), effectively simulating an RTK base station for legacy receivers. This bleeding edge method enables the utilization of SSR data even with conventional GNSS receivers, expanding access to high-precision positioning capabilities to more users. SSR is best for the automotive and robotics industries and sub-optimal for teams using generic receivers.

Choosing a GNSS correction method

Like all technology, GNSS correction methods are constantly evolving, making high-precision positioning more accessible and reliable across a wide range of applications. However, to serve the increasing demands of organizations using GNSS for applications requiring precise positioning, correction methods must be scalable, efficient and accurate.

Different methods for correcting GNSS signals offer varying levels of accuracy and suitability for specific applications. As they select which is best suited to their use case, users must prioritize their needs, as well as the benefits and trade-offs of each correction method. RTK produces fast, hyper-accurate results in developed areas but can be expensive to deploy in areas without the proper infrastructure. PPP methodology enables users in remote locations to access precise positioning information but can take a substantial amount of time. SSR is powering some of the most innovative applications in technology today, but is not as accessible as other methods due to the limitations of legacy receivers. Once they have assessed cost, speed and accessibility, developers can select the GNSS correction method that is best for their product or application. As this continued innovation in the GNSS space increasingly helps organizations overcome challenges in signal correction, it will be interesting to see what new cutting-edge technology develops to shape the future of our world.

<p>The post Inside the Box: Understanding GNSS correction methods first appeared on GPS World.</p>

SURVEYING & MAPPING

Laser Scanning Measurement System
Compatible with specialized kits

The LS300 3D laser scanning measurement system utilizes simultaneous localization and mapping (SLAM) technology and advanced real-time mapping techniques. The LS300 3D operates autonomously, independent of GNSS positioning, making it ideal for harsh conditions in both indoor and outdoor environments.
LS300 includes a 120-meter working range and a sampling rate of 0.32 million points per second. Its point cloud accuracy is designed to perform in low reflectivity extended-range mode. The system is compatible with specialized kits, including the handheld form, back kit, car mount, and UAV kit.
By using data processing software specifically designed and developed for the LS series, users can handle large volumes of point cloud data and simplify complex tasks, including point cloud denoising, point cloud splicing, shadow rendering, coordinate transformation, automatic horizontal plane fitting, automatic point cloud data report generation, forward photography, and point cloud encapsulation.

During data post-processing, users can input absolute coordinates of control points, allowing these control points to adjust the data and improve scanning data accuracy. The LS300 incorporates a redundant battery design with two hot-swappable batteries, designed to prolong operation without frequent charging or interruptions.
ComNav Technology, comnavtech.com

Anti-jamming receiver
A jamming protector for legacy receivers

The KV-AJ3 tri-band anti-jamming receiver combines a digital antenna control unit (DACU) and a GNSS receiver. KV-AJ3 can be used as a jamming protector for legacy receivers or as a stand-alone GNSS receiver solution.
The tri-band solution decreases interferences from up to three directions in three frequency bands, including S-band. This approach is designed to provide significantly higher protection against interference compared to single-frequency devices.
The receiver has a digital port for navigation data output. Jamming-free RF signals can also be delivered to external non-protected GNSS receivers to obtain position, velocity, and time.

KV-AJ3 contains a MEMS inertial sensor, which allows for GNSS-aided INS solutions where coordinates and attitude angles are required.
Kosminis Vytis, kosminis-vytis.lt

Lidar sensor
Designed for high-speed airborne missions

The VUX-180-24 offers a field of view of 75º and a pulse repetition rate of up to 2.4 MHz. These features – in combination with an increased scan speed of up to 800 lines per second – which makes the VUX-180-24 suitable for high-speed surveying missions and applications where an optimal line and point distribution is required.
Typical applications include mapping and monitoring of critical infrastructure such as power lines, railway tracks, pipelines, and runways. The VUX-180-24 provides mechanical and electrical interfaces for IMU/GNSS integration and up to five external cameras.
This sensor can be coupled with RIEGL’s VUX-120, VU-160, and VUX-240 series UAVs. The system is available as a stand-alone sensor or in various fully integrated laser scanning system configurations with IMU/GNSS systems and optional cameras.
RIEGL, riegl.com

UAV detection technology
A 3D data fusion engine for complex environments

SensorFusionAI (SFAI) is a sensor-agnostic, 3D data fusion engine for complex environments. It accommodates all common UAV detection modalities, including radiofrequency, radar, acoustics, and cameras.

SFAI allows third-party C2 manufacturers to integrate SFAI into its C2 systems. This integration can be achieved through a subscription-based software-as-a-service (SaaS) model, enhancing system performance.

Key features of SFAI include behavior analysis to track an object to determine classification and predict trajectory; threat assessment that determines threat level based on a range of data types; and an edge processing device called SmartHub for reduced network load and high scalability.
DroneShield, droneshield.com

Thermal mapping solution
Designed for UAVs

The PT61 camera is a thermal mapping solution for UAVs. The camera system provides detailed thermal orthomosaic maps and accurate 3D models. Developed in partnership with Agrowing, the PT61 is a versatile tool designed for multispectral data collection in renewable energy and other domains.
The PT61 combines a 61-megapixel camera with integrated thermal imaging capability. It can also switch between RGB and multispectral modes, which aims to increase its versatility and address the increasing need for comprehensive data acquisition in various industrial and environmental applications.
Integrated with Agrowing’s multispectral lenses, the camera offers detail across 10 spectral bands and an infrared band, making it ideal for solar plant inspection and dam management.
The enhanced Topodrone post-processing software complements the hardware by streamlining remote sensing tasks, ensuring surveyors and researchers can achieve high levels of efficiency.
Topodrone, topodrone.com

OEM

Dual-band GNSS receiver
Achieves 50cm position accuracy without correction data

eRideOPUS 9 is a dual-band GNSS receiver chip that achieves 50cm position accuracy without correction data. eRideOPUS 9 is designed to provide absolute position information and can be used as a reference for lane identification, which is essential for services such as autonomous driving. It also serves as a reference for determining the final self-position through cameras, lidar, and HD maps.

The eRideOPUS 9 supports all navigation satellite systems currently in operation, including GPS, GLONASS, Galileo, BeiDou, QZSS, and NavIC. It can also receive L1 and L5 signals. The L5 band signals are transmitted at a chipping rate 10 times higher than L1 signals, which improves positioning accuracy in environments where radio waves are reflected or diffracted by structures, such as in urban areas — a phenomenon known as multipath.
A dual-band GNSS module incorporating eRideOPUS 9 is being jointly developed with Alps Alpine Co. and is scheduled for future release as the UMSZ6 series.
Furuno Electric Co., Furunousa.com

Lidar scanning module
Designed for OEM integration

The VQ-680 compact airborne lidar scanner OEM is designed to be integrated with large-format cameras or other sensors in complex hybrid system solutions.
It can be mounted inside a camera system connected to the IMU/GNSS system and various camera modules through a sturdy mechanical interface. The VQ-680 has laser pulse repetition rates of up to 2.4 MHz and 2 million measurements per second.
The VQ-680 is ideal for large-scale applications in urban mapping, forestry, and power line surveying. With a field view of 60º and RIEGL’s nadir/forward/backward (NFB) scanning, the system offers five scan directions up to ± 20º.
RIEGL, riegl.com

INS
A product for avionic applications

The ADC inertial navigation system (INS) is designed to calculate and provide air data parameters, including altitude, air speed, air density, outside air temperature, and windspeed for avionic applications.
ADC’s compact form simplifies integration into existing UAV systems with strict size and weight requirements. The INS calculates the air data parameters using information received from the integrated pitot and static pressure sensors, along with an outside air temperature probe.
This compact device consumes less than one watt of power. It is designed for demanding environments, has an IP67 rating, and integrates total and static pressure sensors to calculate indicated airspeed accurately. ADC supports aiding data from external GNSS receivers and ambient air data, enhancing its precision in a variety of flight conditions.
Inertial Labs, inertiallabs.com

Two tactical-grade IMU
With L5 capabilities

The VN-210-S GNSS/INS combines a tactical-grade inertial measurement unit (IMU) comprised of a 3-axis gyroscope, accelerometer, and magnetometer with a triple-frequency GNSS receiver. The integrated 448-channel GNSS receiver from Septentrio adds several capabilities, including L5 frequencies, moving baseline real-time kinematics with centimeter-level accuracy, support for Galileo OSNMA, and robust interference mitigation.

These capabilities and high-quality hardware offer improved positioning performance in radio frequency-congested and GNSS-denied environments.
The VN-310-S dual GNSS/INS leverages VectorNav’s tactical-grade IMU and integrates two 448-channel GNSS receivers to enable GNSS-compassing for accurate heading estimations in stationary and low-dynamic operations. The VN-310-S also gains support for OSNMA and robust interference mitigation, offering reliable position data across a variety of applications and environments.

The VN-210-S and VN-310-S are packaged in a precision-milled, anodized aluminum enclosure designed to MIL standards and are IP68-rated. For ultra-low SWaP applications, VectorNav has introduced L5 capabilities to the VN-210E (embedded) when using an externally integrated L5-band GNSS receiver.
VectorNav, vectornav.com

Real-time INS
Used in large fleets

The Atlas inertial navigation system (INS) is designed for autonomous vehicles, mapping, and other applications. Atlas provides users with ground-truth level accuracy in real-time, which can streamline engineering workflows, significantly reduce project costs, and improve operational efficiency.
Atlas is designed to be used in large fleets. It integrates a highly accurate, low-cost GNSS receiver and IMU with the Polaris RTK corrections network and sensor fusion algorithms. The company aims to make it easier for businesses to equip their entire autonomous fleets with high-accuracy INS.
The system features a user-friendly interface, on-device data storage, and both ethernet and Wi-Fi connectivity. Field engineers can easily configure and operate Atlas using smartphones, tablets, and in-car displays.

Atlas can be used in a variety of sectors, including autonomous vehicles, robotics, mapping, and photogrammetry. Its real-time capabilities and affordability can enhance the widespread deployment of ground truth-level location in fleet operations.
Point One Navigation, pointonenav.com

UAV

USV
For autonomous bathymetric surveys

The Apache 3 Pro is an advanced compact hydrographic unmanned surface vehicle (USV) designed for autonomous bathymetric surveys in shallow waters. With its lightweight carbon fiber hull, IP67 rating, and semi-recessed motor, the Apache 3 Pro offers exceptional durability and maneuverability.

The Apache 3 Pro uses CHCNAV’s proprietary GNSS RTK + inertial navigation sensor to provide consistent, high-precision positioning and heading data even when navigating under bridges or in areas with obstructed satellite signals. The built-in CHCNAV D270 echosounder enables reliable depth measurement from 0.2 m to 40 m.
The USV is equipped with a millimeter-wave radar system that detects obstacles within a 110° field of view. When an obstacle is encountered, the USV autonomously charts a new course to safely navigate around it. The vessel uses both 4G and 2.4GHz networks to facilitate effective data transfer.

Even with a fully integrated payload, the USV can be easily deployed and controlled by a single operator in a variety of environmental conditions.
The Apache 3 Pro ensures reliable communications through its integrated SIM and network bridge with automatic switching. It also features seamless cloud-based remote monitoring that offers real-time status updates to enhance control and security. Its semi-recessed brushless internal rotor motors minimize drafts, which can improve the USV’s maneuverability in varying water depths.
CHC Navigation, chcnav.com

Anti-jamming receiver
Provides stable navigation in three frequency bands

KV-AJ3-A provides a stable navigation signal in three frequency bands, including S-band, even in the presence of jamming and other harsh conditions. The technology is MIL-STD compliant and meets the EMI/EMC requirements for avionics.

The direction of interfering signals is determined using a phased array antenna, which can then remove jamming signals from up to three directions. The original signal is either restored and delivered to external GNSS receivers or processed by the internal receiver to obtain position data.
The key components of this anti-jamming device are based on custom ASICs that allow users to achieve high jamming suppression and SWaP. KV-AJ3-A can be used for fixed installations and land, sea, and air platforms, including UAVs.
Kosminis Vytis, kosminis-vytis.lt

Development kit
With anti-jamming and anti-spoofing capabilities

This eight-channel, CRPA, anti-jamming development kit is a set of instruments designed to help users add anti-jamming and anti-spoofing capabilities to their receivers.
The main development tool is NT1069x8_FMC — an eight-channel receiver board. The eight coherent channels are based on NT1069, the RF application-specific integrated circuit (ASIC) that supports a high dynamic range of input signals.

Each channel performs amplification, down-conversion of GNSS signal to intermediate frequency (IF) and subsequent filtering and digitization by 14-bit ADC at 100 MSPS.

The board is compatible with GPS, GLONASS, Galileo, BeiDou, NavIC, and QZSS signals in the L1, L2, L3, L5 and S bands. Each RF channel has an individual RF input with the option to feed power to an active antenna.

The board also has an embedded GNSS receiver and an up-converter, or modulator, which can provide connection to an external GNSS receiver.
Kosminis Vytis, kosminis-vytis.lt

<p>The post Launchpad: Lidar scanners, OEMs and anti-jamming receivers first appeared on GPS World.</p>

Image: Point One Navigation

Point One Navigation has expanded its Polaris real-time kinematic (RTK) location network to South Korea.

The network is set to provide comprehensive coverage throughout the country. Existing Polaris customers can use the South Korean integration to enhance the precision and efficiency of their location-based projects.

Polaris offers centimeter-level accurate GNSS positioning with accuracy ranging from 1 cm to 10 cm, which makes it ideal for challenging environments, such as urban areas with limited sky view. Unlike standard GNSS systems — which face position uncertainty due to atmospheric signal delay, satellite orbit variation, clock drift and signal multipath — the Polaris network counters these issues using additional information from compact base stations.

Point One’s FusionEngine software further integrates inertial measurement, wheel odometry and additional sensors to achieve the desired level of precision in the complete absence of satellite signals.

The Polaris network with FusionEngine software can be used as a precision location service for autonomy and robotics applications. Polaris supports all major GNSS constellations and has an extremely dense global network of base stations that cover the United States, Europe, New Zealand, South Korea, and parts of Canada and Australia.

Developers can integrate the Polaris RTK network and FusionEngine software using GraphQL API. The network can be built into demanding applications such as industrial autonomy, precision agriculture, logistics and delivery, robots and advanced driver-assistance systems (ADAS).

<p>The post Point One Navigation expands Polaris RTK location network to South Korea first appeared on GPS World.</p>

Image: Point One Navigation

Point One Navigation has integrated Ordnance Survey base stations into the Polaris Network, which is designed to improve accuracy, precision, reliability and interoperability in the UK. The solutions aim to aid in applications such as advanced driver assistance (ADAS), robotics, mapping and more.  

Polaris is a real time kinematic (RTK) corrections network that offers cm-level accurate GNSS positioning. Polaris’ global RTK network now includes the entire United States, EU, Australia, Canada and the UK. 

 Existing Polaris customers can utilize the UK integration immediately, at no additional cost. 

This technology is complemented by the company’s FusionEngine software, which further integrates inertial measurement, wheel odometry and additional sensors to achieve the desired level of precision, even in the absence of satellite signals.  

 Polaris supports all major GNSS constellations and has a dense global network of base stations, which offers improved precision acquisition time in more places, the company says. The network supports all modern navigation signals across all mobile networks. 

According to Point One, it is the first localization service with a modern GraphQL-based API, which aims to improve the integration of Polaris RTK into developer-built applications. It can be used by software developers to integrate RTK into demanding applications, including industrial autonomy, precision agriculture, logistics and delivery, robots and ADAS.  

 It will support State Space Representation (SSR) corrections delivered by L-band satellites in early 2024, the company says, which will allow for operations to continue in the absence of cellular networks or in bandwidth constrained applications.   

<p>The post Point One Navigation expands location solutions to cover Great Britain first appeared on GPS World.</p>