Tag: digital mapping

  • Revealing underwater landscapes: Trends in bathymetric surveying

    Revealing underwater landscapes: Trends in bathymetric surveying

    Photo: Andy Morehouse – stock.adobe.com
    Photo: Andy Morehouse – stock.adobe.com

    Nearly three quarters of Earth’s surface is covered by water, yet only about a quarter of that surface has been mapped in detail using modern high-resolution technology.

    Marine experts worldwide work together to chart the ocean floor, ensuring the safety of ports, harbors and navigable routes. This effort is crucial for global trade, as more than 90% of goods are transported by ships. Ocean floor surveying also supports the installation of offshore infrastructure such as fiber optic cables, pipelines, drilling platforms and wind turbines.

    The increasing population in coastal regions and rising sea levels due to climate change have heightened the importance of observing coastal transformations, erosion and other marine alterations. These factors are essential for understanding and protecting coastal ecosystems.

    Mapping techniques

    In deep waters, massive multi-beam echo sounders (MBES) operating at very low frequencies collect depth data. As water depth decreases, smaller devices with higher frequencies and resolution must be used. However, near the shore, these devices become less efficient due to the slope of the shelf interfering with sound signals.

    In near-shore scenarios, collecting depth data is best done using airborne lidar sensors, which offer several advantages over sensors on surface vessels. One advantage of airborne sensors is that they can simultaneously map both the seafloor and the adjacent topography to offer seamless land-water transition data. This capability is particularly valuable in dynamic coastal environments where rapid coverage of large areas is essential.

    Bathymetric lidar is specifically designed for mapping shallow coastal waters, typically effective up to depths of 50 m. It can provide high-resolution data, often achieving sub-meter positional accuracy, which is crucial for detailed coastal mapping. By combining MBES for deeper waters with lidar for near-shore areas, researchers and surveyors can create comprehensive and accurate maps of the entire coastal zone. This method offers an in-depth understanding of underwater topography, aiding various applications in marine science, coastal management and navigation.

    Saildrone

    Cayman Islands mapping project

    The waters of the Cayman Islands are abundant in marine life, featuring coral reefs, seagrass beds and a variety of fish species. A high-resolution map of the seafloor is essential to begin exploring, identifying, characterizing, exploiting, conserving and managing ocean resources. Saildrone has begun a mission to map 29,300 square nautical miles (100,490 sq km) of the Cayman Islands’ Exclusive Economic Zone (EEZ). This mission uses autonomous technology to survey 80% of this EEZ.

    The Cayman Islands EEZ, extending up to 200 nautical miles from shore, encompasses an area nearly half the size of Florida — and 380 times greater than the island itself. The mission will provide detailed and precise bathymetric data for this area, contributing to a comprehensive understanding of the seafloor topography in the region. The data collected seeks to enhance maritime navigation and support scientific research, environmental conservation efforts and marine resource management in the Cayman Islands.

    “Our waters hold such great value to us for a myriad of reasons, ranging from recreational to economic. Conducting this assessment will allow our government to make data-driven decisions that will strengthen our policies and legislation as it relates to our maritime infrastructure,” said Juliana O’Connor-Connolly, premier and minister for District Administration and Lands.

    The Saildrone Surveyor USV is a purpose-built platform for autonomous deep-water ocean mapping. (Photo: Saildrone)
    The Saildrone Surveyor USV is a purpose-built platform for autonomous deep-water ocean mapping. (Photo: Saildrone)

    The mission is philanthropically funded by the London and Amsterdam Trust Company Limited, a Cayman-based organization. Saildrone is tasked with collecting the raw bathymetry data, which will be provided to the UK Hydrographic Office to process and update the Cayman Islands’ nautical charts. The data will belong to the government of the Cayman Islands.

    Autonomous seafloor exploration

    The mission is being conducted using a 20-m Saildrone Surveyor uncrewed surface vehicle (USV) equipped with MBES and metocean sensors for ocean mapping and ecosystem monitoring, as well as radar, cameras and advanced machine learning. Metocean stands for meteorology and physical oceanography. Globally, only 26% of the ocean has been mapped, a result of the lack of survey ship capacity. While a survey ship takes years to build, Saildrone can produce one Surveyor in as little as six weeks.

    This nautical chart shows the Cayman priority mapping areas. The yellow oval indicates the vessel’s location as of Dec. 9, 2024. (Photo: Saildrone)
    This nautical chart shows the Cayman priority mapping areas. The yellow oval indicates the vessel’s location as of Dec. 9, 2024. (Photo: Saildrone)

    Saildrone USVs have demonstrated a reduction of more than 97% in operational carbon emissions when compared to survey ships to accomplish the same task. Additionally, they lower the risk to personnel. This information is highlighted in Saildrone’s Carbon Impact Report, which provides a comprehensive evaluation of the carbon emissions associated with maritime data collection and the emissions mitigated by using Saildrone’s USVs.

    Saildrone’s ocean mapping solutions support storm surge modeling efforts and emergency response, as well as coastal resiliency and hazard studies, resource management, restoration projects, habitat mapping and infrastructure for renewable energy generation. USVs equipped with deep ocean mapping sonars now serve as a reliable option for data collection in large areas such as EEZs.

    Trimble

    Emerging trends in Bathymetry

    Bathymetry is crucial to understanding Earth’s aquatic environments. Its importance has evolved significantly since the early days of navigation, when mariners relied on lead lines and poles to gauge water depths. The field of bathymetry continues to advance with emerging trends that enhance data collection capabilities. Autonomous platforms such as USVs and autonomous underwater vehicles are increasingly utilized for bathymetric surveys, allowing for more extensive and detailed mapping. Additionally, as the industry grapples with challenges such as workforce shortages and the need for more efficient data collection methods, autonomous systems are proving to be a valuable solution.

    Trimble’s Applanix POSPac MMS, an advanced GNSS-inertial post-processing software, seamlessly integrates with the Applanix POS MV and multibeam or sonar sensors to deliver high-accuracy results. (Photo: Trimble)
    Trimble’s Applanix POSPac MMS, an advanced GNSS-inertial post-processing software, seamlessly integrates with the Applanix POS MV and multibeam or sonar sensors to deliver high-accuracy results. (Photo: Trimble)

    “Autonomous and uncrewed platforms have become a real force multiplier, and the trend continues,” said Peter Stewart, director of marine products at Trimble Applanix. “Companies such as XOcean and Saildrone are showing what is possible, leveraging cloud processing and enabling data collection in remote areas while maintaining a work-life balance for their staff. Since finding qualified engineers and surveyors to fill these roles offshore is an industry-wide concern, more flexible working conditions are needed to hire and retain talent.”

    Another emerging trend is the development of sensors capable of penetrating murky waters, which can significantly enhance surveyors’ ability to gather data in challenging environments. Advanced sonar systems, innovative light-and-sound combinations and newly developed sensors allow research teams to collect detailed data. Post-processing technology for bathymetry has also significantly advanced, making data acquisition, processing and presentation more efficient and accessible. This allows researchers to map and study underwater terrains that were previously inaccessible or poorly understood.

    Typical marine vessel data processed in POSPac MMS PP-RTX mode. (Photo: Trimble)
    Typical marine vessel data processed in POSPac MMS PP-RTX mode. (Photo: Trimble)

    “Ease of use and installation are key trends toward ensuring valuable hydrographic data can be acquired, processed and presented efficiently,” Stewart said. Trimble works with users and third parties to offer an optimal workflow, making technology and the data it creates more accessible and operations more efficient, he added.

    The IN-Fusion+ PP-RTX2 processing mode in Trimble’s POSPac MMS software is designed to improve post-processed GNSS-inertial trajectory generation. This mode uses Trimble’s CenterPoint RTX technology to deliver centimeter-level positioning accuracy without the need for local base stations. Stewart shared how this technology can be particularly useful when surveying around offshore windfarms, where shore-based RTK infrastructure is often too distant to be useable.

  • 6 technology trends that drive automotive mapping and navigation

    6 technology trends that drive automotive mapping and navigation


    The automotive navigation of tomorrow is highly connected and capable of dynamically using high-resolution map information and vehicle and environmental data from the cloud. It is an enabler for powerful driver assistance, intelligent e-mobility and autonomous driving. As a global provider of software engineering services for the mobility industry, Intellias is involved in many of these developments.

    Although obtaining mapping and navigation data is easier today than it was 10 years ago — thanks to dashcams, UAVs and satellites — collecting this data is still labor-intensive. Even if most corners of the world are already recorded in public and private geographic information systems (GIS), the maps still need to be maintained regularly. Data accuracy and timeliness are the two biggest challenges in the mobility industry, followed by coverage, as the physical world is constantly evolving. To meet these requirements, the evolution of navigation and digital mapping is gathering pace. The following six technology and deployment trends will drive automotive mapping and navigation in the coming years.

    1. Enriching Mapping Data With AI

    Satellite imagery was a breakthrough for map creation. The wrinkle, however, is that most mapping software cannot work directly with satellite photos. Visual data first needs to be codified into comprehensive navigation datasets in a suitable format such as the Navigation Data Standard (NDS). Then map owners must keep it up to date. Both processes are costly and labor-intensive, making them great use cases for artificial intelligence (AI) in mapping.

    AI algorithms improve the speed and precision of digital map building by offering the ability to update maps more regularly and map new areas faster. They can classify objects in satellite images — buildings, roads, vegetation — to create enriched 2D digital maps as well as multi-layer 3D map models. With precise maps, you can delight users with better ETAs, detailed fuel or energy usage estimates, and richer point-of-interest information. 

    Apart from facilitating the collection of mapping data, AI can also help with generating such data. Researchers from MIT and the Qatar Computing Research Institute (QCRI) recently released RoadTagger. This neural network can automatically predict the road type (residential or highway) and number of lanes even with visual obstructions present, such as a tree or building. The model was tested on occluded roads from digital maps of 20 U.S. cities. It correctly predicted the number of lanes with 77% accuracy and predicted road types with 93% accuracy. 

    That said, sensor data collection from connected vehicles isn’t going anywhere. OEMs are increasingly relying on their fleets to collect new insights for digital map creation, and this process is becoming easier with advances in machine learning. HERE Technologies recently presented UniMap — a new AI-driven technology for faster sensor data processing and map creation. The new solution can effectively extract map features in 2D and 3D formats, then combine them with earlier map versions. This unified map content data model allows new digital maps to be available in 24 hours.

    Photo: Intellias
    Photo: Intellias

    2. NDS.Live: From offline databases to distributed map data systems

    Conventional onboard navigation systems are designed, developed and integrated with proprietary databases, which become obsolete with every new product generation. NDS.Live is the new global standard for map data in the automotive ecosystem, promoting the transition from offline to hybrid/online navigation. It minimizes the complexities of supporting different data models, storage formats, interfaces and protocols with one flexible specification. NDS.Live is not a database, but a distributed map data system.

    NDS.Live was co-developed by global OEMs and tech leaders, including Intellias, Daimler, HERE, Denso, Renault and TomTom are among those who have already adopted it. For example, second-generation Mercedes-Benz User Experience (MBUX) systems are powered by NDS.Live. The distributed map data system provides fresh information for the driver assistance system, which gets visualized as augmented reality (AR) instructions on the head-up display (HUD). NDS.Live can help massively improve the navigation experience for EVs and regular connected vehicles. It also helps OEMs deploy value-added subscriptions for assisted driving and navigation.

    3. 3D and HD map generation

    3D maps enable accurate rendering of physical objects in a three-dimensional form. High-definition (HD) maps feature detailed information about road features (lane placements, road boundaries) and terrain type (severity of curves, gradient of the road surface). Both types of maps are essential for launching advanced ADAS features and, ultimately, ushering in the era of autonomous driving.

    3D maps define how the vehicle moves and help it interpret the data it receives from onboard sensors. Since most sensors have a limited range, HD maps assist by providing the navigation system with extra information on road features, terrain and other traffic-relevant objects.

    The bottleneck of both HD and 3D mapping is collecting and rendering data. In the case of 3D maps, you need to capture video in real time from multiple cameras, plan for interference due to vibration, temperature and hardware issues, and then repeat the process across billions of kilometers of roads across the globe. Rather than doing this huge task alone, mobility players and OEMs join forces:

    • HERE and Mobileye, for example, partnered to crowdsource HD mapping data collection, with VW joining later. Mobileye developed a compact, high-performance computer vision system-on-chip called EyeQ. Installed by more than 50 OEMs across 300 vehicle models, the system supplies Mobileye with ample visual data they can then render into maps with the help of partners.

    • TomTom, in turn, teamed up with Qualcomm Technologies to crowdsource HD mapping insights from its users. Qualcomm provides the underlying cloud-based platform for making and maintaining HD maps from various sources, including swarms of connected vehicles.

    Photo: Intellias
    Photo: Intellias

    4. Autonomous driving simulations

    Autonomous vehicles require extensive road and track tests to pass security checks. Manufacturers also need to simulate near-crash events without putting anyone in danger. Hyper-realistic virtual worlds can be much safer testbeds for autonomous vehicles (AVs) — especially as virtualization technology improves.

    A group of researchers released an open-source, data-driven simulation engine for building photorealistic environments for AV training. The engine can simulate complex sensor types including 2D RGB cameras and 3D lidar, as well as generate dynamic scenarios with several vehicles present. With the new engine, users can simulate complex driving tasks such as overtaking and following.

    Waymo takes a similar approach of using real-world data collected from vehicle cameras and sensors to create highly detailed virtual testbeds. The Waymo team has built virtual replicas of several intersections complete with identical dimensions, lanes, curbs and traffic lights. During simulations, Waymo algorithms can be trained to perform the most challenging interactions thousands of times, using the same or different driving conditions and different vehicles from its fleet.

    To perfect the performance of the algorithm, the team uses a fuzzing technique. During training sessions, engineers alternate the speed of other vehicles, traffic light timing and the presence or absence of zig-zagging joggers and casual cyclists. Once the Waymo algorithm learns the trick of driving through a specific intersection with a flashing yellow arrow, the “skill” becomes part of the knowledge base, shared with every vehicle across the fleet.

    The new generation of high-fidelity 3D environments can be built with data from different sensor types to effectively convey all details of the material world to the algorithm. Existing 3D visual databases already include realistic details for traffic signs, pavement markings and road textures. With machine learning and deep learning algorithms, complex ADAS/AD scenarios can simulate close to real-life conditions.

    Photo: Intellias
    Photo: Intellias

    5. Digital twins of road infrastructure

    While OEMs leverage dashcam data collection for building better navigation systems, transportation managers use the same intelligence to digitize road infrastructure. A digital twin is an interactive, virtual representation of physical assets or systems such as a smart traffic light network or smart parking facilities. Powered by real-time data, digital twins of road infrastructure can enable advanced urban planning scenarios. This includes dynamic traffic light signal optimization to reduce congestion as well as prioritized public and service transport management and accurate traffic predictions to optimize planning, signage, construction work schedules, etc.

    Low latency is crucial for autonomous driving. Yet 3D map generation on the edge requires substantial computing power. Moreover, vehicles cannot store all mapping data on their route and need to constantly receive over-the-air updates. A group of researchers has proposed placing compact map distribution devices on roadside edges to facilitate point cloud data (PCD) map delivery on the go. The results show that autonomous vehicles can perform self-localization while downloading PCD maps. This system allows autonomous vehicles to receive dynamic new maps for each new destination instead of storing tremendous data records onboard.

    6. AR in HUD navigation products

    The latest vehicles have an upgraded human-machine interface (HMI)design, featuring new hardware and software elements that allow for AR navigation. AR in HUDs can deliver all standard information from static displays (driving speed, status of the ADAS system, fuel or charge levels), alongside dynamic routing instructions, including information on traffic signs, speed limits, construction work alerts and ETAs.

    Overall, AR navigation systems can help drivers make better decisions on the road. A recent comparative study found that drivers using AR-augmented HUDs made fewer errors and drove faster on average than those using conventional HUDs. Participants also rated AR HUD instructions as more useful and easier to understand. 

    The next advance in navigation will be holographic displays, offering AR instructions in 3D. Advances in lidar technologies already allow for projecting ultra-HD holographic representations of road objects in real time into the driver’s field of view. Such systems can enable shorter obstacle visualization times and reduce driving-related stress, according to Tech Explore. 

  • Launchpad: Vehicle tracking, camera drones, e-bikes

    Launchpad: Vehicle tracking, camera drones, e-bikes

    A roundup of recent products in the GNSS and inertial positioning industry from the December 2021 issue of GPS World magazine.


    OEM

    Satellite-cell terminal

    With built-in GPS receiver

    Photo: OQ
    Photo: OQ

    OQ Technology’s dual-mode satellite-cellular IoT modem and tracker is a plug-and-play, small, low-cost and low-power solution that can collect data from more than 1,000 sensors. It has a built-in GPS receiver and supports 5G NB-IoT, GSM, LTE-M and bi-directional satellite links. The flexible, robust and programmable dual-mode terminal has pre-paid data packages suitable for remotely monitoring and controlling fixed and mobile assets in industries such as transportation, oil and gas, utilities, and maritime.

    OQ Technology, oqtec.space

    Fiber Extension

    Provides mission-critical, extended length GPS over fiber

    Photo: ViaLite
    Photo: ViaLite

    ViaLite’s GPS over Fiber Extension Kit for Microchip/Microsemi GPS timing servers provides mission-critical GPS timing and synchronization for systems requiring extremely accurate clock signals. Standard transmission distances for the extension kit can be up to 10 km, while solutions are available for distances as long as 50 km. The ViaLite kit was chosen for its unique performance with Microsemi’s S650 timing server. The ViaLite GPS link is designed to provide a remote GPS/GNSS signal or derived timing reference to equipment located where no signal is available, such as inside buildings or tunnels. By using optical fiber instead of traditional coaxial cable, extreme distances are possible with no radio frequency loss and zero introduction of noise.

    ViaLite, vialite.com

    Edge Computing Device

    Acts as a high-performance master clock

    Photo: Soc-e
    Photo: SoC-e

    The RELY-MIL-TIME-SERVER, which complies with MIL-STD-810G and MIL-STD-461G, embeds the latest timing, networking and security technology in a single SWaP platform. The all-in-one rugged edge computing device acts as a high-performance master clock and serves secure accurate timing distribution (PTP, NTP, GNSS). The timing feature is combined with high-bandwidth and high-availability Ethernet switching and L2/L3 cybersecurity services in a unique commercial-off-the-shelf device. At its heart is a Xilinx Ultrascale+ MPSoC device powered by SoC-e hardware IP cores for PTP and high-availability low-latency Ethernet networking.

    Relyum by SoC-e, www.soc-e.com

    IMU

    Provides improved attitude and vibration control

    Photo: Epson
    Photo: Epson

    The M-G370PDS0 inertial measurement unit (IMU) is equipped with a high-performance six-axis sensor. It has an angle random walk (short-term variation in output) of 0.03°/√h, which is half that of its predecessor, and can more accurately detect very slight changes in the attitude of equipment and systems, since they do not get lost in sensor noise. The small size, light weight and low power consumption will help customers make their own products smaller and lighter. It also maintains compatibility with earlier products (the M-G370/365/364/354), making performance upgrades easy.

    Seiko Epson Corp., global.epson.com

    Timing Solution

    Embedded module for third-party hardware

    Image: ADVA
    Image: ADVA

    The OSA 5400 SyncModule enables technology suppliers to integrate precise synchronization into their hardware. Its M.2 form factor can add timing capabilities to switches, routers, open compute servers and other IT devices. The SyncModule provides GNSS, precision time protocol (PTP) and network time protocol (NTP) engines as well as comprehensive PTP and GNSS monitoring and assurance functionality. It can enable assured sub-microsecond timing in public and private networks as well as critical infrastructure. Featuring multiple interface options for easy integration, the OSA 5400 SyncModule comes with an open API. It also can be managed by ADVA’s proven Ensemble Sync Director management system.

    ADVA, adva.com

    Evaluation software

    For u-blox M10 GNSS technology integrators

    Photo: u-blox
    Photo: u-blox

    Running on Microsoft Windows, u-center 2 offers anyone working with 10th-generation (M10) u-blox GNSS technology a highly intuitive interface to configure GNSS products, evaluate their performance, improve the quality of their software, and experience the performance boost achieved using GNSS-related services. The software is the successor to the u-center GNSS evaluation software, which has been used by design engineers for almost two decades to develop GNSS receiver applications. Compatible with u-blox M10 GNSS technology, u-center 2 is designed to offer improved performance over its predecessor. New features in u-center 2 simplify configuration, evaluation and software development of GNSS-based solutions. It is free for download.

    u-blox, www.u-blox.com

    GNSS Antenna

    Low profile for easy installation

    Photo: Maxtena
    Photo: Maxtena

    The MEA-1227-SM is a GNSS/L1 and L2 low-profile screw-mount antenna. It has high performance suitable for maintaining constant network connectivity. The MEA-1227-SM covers all GPS/GLO/BEI/ QZSS/Galileo/SBAS/L1L2 standard frequencies. It is designed for telematics systems, remote surveillance, asset tracking and any internet of things (IoT) system applications. This screw mount antenna is easy to install, with a low profile suitable for challenging installations. It has a IP67-rated housing and anti-rotation mounting.

    Maxtena, maxtena.com


    Transportation

    E-Bike Guidance

    Mapping and navigation for city riders

    Photo:
    Photo: Cowboy

    The Cowboy e-bike solution provides riders with high-performance, real-time GNSS accuracy, enabling them to map their own paths and those of the cities in which they live. It uses smart road-companion applications to ensure riders get precise information, regardless of the route they travel. The positioning component uses Taoglas’ Accura GVLB258.A, a multi-band GNSS L1/L5, high-performance stacked patch antenna, in conjunction with u-blox’s SAM-M8Q GNSS positioning module. The combination allows for extremely low power and high accuracy. The solutions works with “micromobility” services offered by Cowboy, such as Easy Rider for theft detection, bike insurance and crash detection notifications.

    Taoglas, taoglas.com; u-blox, u-blox.com

    Vehicle Tracking

    Instant decimeter-level accuracy with automotive sensors

    Photo: Profound Positioning
    Photo: Profound Positioning

    The Profound-IVT (instant vehicle tracking) provides cost-effective vehicle navigation. Based on a firmware library, and rapidly adaptable to any navigation platform, IVT combines precise point GNSS positioning (PPP), dead reckoning and radar technologies in an integrated solution to provide decimeter-level positioning accuracy plus orientation and velocity. IVT performs in tunnels, dense urban environments, multi-level highway junctions and parking garages. With errors <1% of distance travelled, resolution is extremely rapid. Base stations are not required and there are no operating range limitations. Applications include driver assistance, mobility and taxi, autonomous vehicles, geofencing, fleet tracking, insurance, driving and safety management, and connected driving.

    Profound Positioning Inc., profoundpositioning.com


    Surveying & Mapping

    City Twins

    Off-the-shelf map data through the HxGN Content Program

    Photo: Hexagon
    Photo: Hexagon

    Metro HD city data is a new offering of ultra-high-resolution 2D and 3D digital twins of major cities. Metro HD expands the data stack to include high-definition true orthophotos, obliques, digital terrain models, lidar point clouds, 3D building models (LOD2), 3D meshes and land-use maps. Cities captured in 2021 include Munich, Cologne, Vienna, Milan, Amsterdam, Stockholm, Tokyo, Dallas, New York, Stuttgart and Frankfurt. More cities will be added in early 2022. The program uses a hybrid urban mapping sensor, the Leica CityMapper-2, that concurrently collects lidar and aerial imagery. The derived products, based on the strength of each subsystem, result in superior accuracy and temporal consistency across all three data dimensions.

    Hexagon Geospatial, hexagon.com

    GNSS + Laser

    Workflow for Esri ArcGIS Field Maps

    Photo: Bad Elf
    Photo: Bad Elf

    Bad Elf LLC and Laser Tech are providing an integrated laser offset workflow for acquiring high-accuracy field data in GNSS-challenged environments. The new workflow integrates Bad Elf and LTI hardware in collaboration with ArcGIS technology from Esri. The Bad Elf Flex GNSS receiver connects to any LTI TruPulse rangefinder over a wired or Bluetooth connection to deliver high-accuracy location data to Esri ArcGIS Field Maps. Field workers can now efficiently complete position and height data collection in access-limited situations, saving time, money and effort. The Bad Elf app workflow runs on Android and iOS.

    Bad Elf, bad-elf.com; Laser Tech, www.lasertech.com; Esri, esri.com

    Survey Platform

    Cloud based for collaboration

    Photo:
    Photo: Handheld

    Geo-genie is a cloud-based collaborative and professional mapping and surveying platform enabling customization and creation of geocentric information systems. Teamed with Handheld’s Algiz RT8 rugged field tablet, it streamlines work and allows non-professionals to perform accurate geodetic mapping, guiding and monitoring of their data collection. The platform enables organizations to have an advanced, professional surveying and GIS platform with customized procedural workflows, management of user hierarchies, and integration with other organizational information systems. Geo-genie can connect with professional surveying equipment, such as GPS and total stations, and integrates data into a cloud-based central database with no restriction for specific data-collection hardware.

    Handheld Group, handheldgroup.com; Geo-genie, Geo-genie.com

    GNSS Amplifier

    Marks forest, urban trees in logbook app

    Photo: Stihl
    Photo: STIHL

    The wireless GNSS amplifier LogBuch+ increases the accuracy of location data with the cloud-based LogBuch application. The app enables voice-based digital mapping via a smartphone app, such as for the maintenance of trees. The compact device receives satellite signals on several radio frequencies, delivering significantly more precise data than a smartphone alone. Foresters can carry the GNSS amplifier in a pocket and digitally mark trees for felling using the LogBuch app.

    STIHL, stihl.com

    Lidar Unit

    Can be mounted on plane or UAV

    Photo: YellowScan
    Photo: YellowScan

    The YellowScan Explorer lidar can be mounted on a light manned aircraft or helicopter, as well as a UAV platform such as the DJI M300. This versatility allows the end user to tackle a wide range of projects with the same unit. It uses an Applanix APX-20UAV GNSS/inertial solution and has a precision of 2.6 cm and an accuracy of 2.2 cm. Its high-power laser scanner can catch points up to 600 meters away. Flight operation speed is 5–35 m/s; it is capable of above-ground-level altitude up to 300 m. The low-weight unit (2.3 kg without battery) can be combined with YellowScan’s suite of software to extract and process point cloud data for surveying, forestry, environmental research, archaeology, industrial inspection, civil engineering and mining sectors.

    Yellowscan, yellowscan-lidar.com


    UAV

    Folding camera drone

    Designed for aerial photography

    Photo: DJI
    Photo: DJI

    The DJI Mavic 3 improves on its predecessor with better sensors, a dual-camera system, omnidirectional obstacle sensing, smarter flight modes and longer flight times. A powerful positioning algorithm improves hovering precision with signals from GPS, GLONASS and BeiDou satellites, enabling the drone to lock onto multiple satellite signals faster. The increased positioning precision also makes the drone less likely to drift in the air and more stable when shooting long exposures and time lapses. The Advanced Pilot Assistance System (APAS) 5.0 combines inputs from six fish-eye vision sensors and two wide-angle sensors to sense obstacles in all directions and plan safe flight routes.

    DJI, dji.com

    Remote Operations

    Conduct missions, manage fleets and view video feeds

    Photo: SkyGrid
    Photo: SkyGrid

    SkyGrid’s autonomous remote UAV operations solution enables drone operators to remotely conduct missions, control flights, manage fleets and view live video feeds. Using artificial intelligence and airspace-related data feeds, SkyGrid enables safe remote operations, whether conducting routine inspections or generating optimal flight paths. Advanced route generation capabilities create the safest route for each drone based on the flight plan, environmental conditions, the vehicle’s performance, and the mission criteria with minimum on-site support required. SkyGrid Launch allows video feeds from drones to be consolidated to a remote central location, such as a ground station.

    SkyGrid, skygrid.com

    Helicopter

    Ready for the long haul

    Photo: UAS Global Services
    Photo: UAS Global Services

    The Sicura EG-1100 is a heavy-lift, long endurance, single-rotor helicopter. Now in its third generation, the helicopter can haul 15 pounds. It cruises at 55 knots. The EG-1100 is available in both electric and gas engine configurations, with an endurance at 3.5 hours on gasoline and 1 hour on electric power. The new gas engine is the high-performing and efficient Skypower 110, tuned to the craft’s internally developed chassis and rotor blades. It offers stable performance in challenging environmental conditions, exceptionally stable flight and immediate flight response for image capture and lidar operations. Multiple payload sets can be carried in one flight.

    UAS Global Services, uas-gs.com

    Small UAS

    High performance in low weight class

    Photo: Ascent Aerosystems
    Photo: Ascent Aerosystems

    The Spirit dual-rotor coaxial unmanned aerial system (UAS) is a versatile and durable system for mission-critical operations. Combined with a fully modular, plug-and-play payload design, the Spirit’s open architecture allows operators to easily add or upgrade software to unlock new operating capabilities without the need to design or develop a new aircraft. It has an all-weather airframe. With nearly 10 pounds available for batteries and payloads, Spirit sets the new standard for performance in its weight class. Setup is quick and easy, allowing for takeoff from any type of terrain. The highly streamlined all-weather airframe has a top speed of 60 miles per hour and can operate in high winds. Payloads and batteries can be mounted or stacked on the top or bottom point.

    Ascent AeroSystems, ascentaerosystems.com

  • Multi-platform lidar enables digital twin cities

    Multi-platform lidar enables digital twin cities

    Digital twin technology emerged a decade ago to provide 3D virtual replicas of physical assets. Today, with Big Data and internet of things (IoT) capabilities, it is a complex and comprehensive method to support the construction of smart cities.

    Mapping Shanghai with the AlphaUni 900. (Image: CHC Navigation)
    Mapping Shanghai with the AlphaUni 900. (Image: CHC Navigation)

    As a virtual model, a digital city can be an indispensable tool to visualize the life of a city in real time. It provides layered data about buildings, urban infrastructure, utilities, businesses, and the movement of people and vehicles. By providing this information, digital twins enable intelligent urban development and modernization.

    Traditional methods of collecting and representing 2D spatial data, such as maps and images, are insufficient to meet the requirements for digital twin city models, where digital data provides the foundation for large-scale projects.

    For example, the derived 3D models must have a high capacity to be merged and correlated with social or economic spatial data from IoT and Big Data. Because of this, a high demand exists for global, accurate, real-time geospatial data that provides high-precision 2D and 3D information.

    Proof-of-concept

    To illustrate a typical digital cities project, CHC Navigation (CHCNAV) carried out a proof-of-concept demonstration in the Jinshan district of Shanghai for one month in March and April.

    The total area of the Jinshan district is approximately 600 km2. This area contains rich terrain features and typical characteristics of large, modern cities, such as high buildings, power lines, rivers and vegetation.

    Extracted 3D mesh created from the data. (Image: CHC Navigation)
    Extracted 3D mesh created from the data. (Image: CHC Navigation)

    The traditional method of capturing with a single-platform lidar system may leave some areas blank in the point-cloud data. CHCNAV’s AlphaUni 900 lidar solution, with its multi-platform capability, was able to capture complete data with four different platforms: an unmanned aerial vehicle (UAV), a car, a backpack and a boat or unmanned surface vehicle (USV).

    The AlphaUni series provides optimized data sets powered by advanced GNSS/inertial navigation system (INS) sensors and long-range scanners.

    Point cloud from aboard an Apache6 USV mapping a water channel. (Image: CHC Navigation)
    Point cloud from aboard an Apache6 USV mapping a water channel. (Image: CHC Navigation)

    During the project, the CHCNAV AlphaUni 900 seamlessly integrated the district’s buildings in the data sets and provided a sophisticated 3D image from both indoor and outdoor environments. Its high-accuracy capability and multi-platform design can improve the way high-precision data is collected. It successfully provides an innovative solution for the problems of 3D geospatial data acquisition required for the development of smart cities.

    Table Data: CHC Navigation
    Table data: CHC Navigation