Iowa Department of Transport uses SLAM to create 3D models of salt stockpiles
Industry
Mining
Scan time
10 mins per scan
Location
Iowa, USA
Size
109 stockpiles
Scanned
Salt stockpiles
Words by Tina Greensfield | Iowa DOT
At Iowa State DOT (Department of Transport) it is our job to make sure over 24,000 miles of road remains clear and safe to use in winter. We have 109 maintenance areas across the state where stockpiles of salt are kept for distribution. Each facility can each hold up to 1200 tonnes.
Throughout winter salt is loaded onto trucks and spread on roads to stop the surface from freezing. Pay loads are measured in weight as salt is loaded onto spreading trucks and supplies are depleted. But as the salt is used, there is a clear discrepancy between the volume of salt in the shed and the paper records – it is not reliable to just look inside a half-empty shed and assess how much material remains.
If volume of salt is too low or we don’t know how much is available, we may find ourselves forced to make snap decisions about redistribution which is both costly to the state and inconvenient to residents and businesses alike.
We needed another solution and following a few severe winters where salt reserves around the country ran out, the Great Lakes froze and shipments were halted we were determined to invest in a reliable measuring process for managing stockpiles in future, which led us to a GeoSLAM volumes solution.
“In terms of speed and accuracy, this was a real game changer for us!“
Using the handheld SLAM device, we can produce a three-dimensional model of the stockpile in just a few minutes. We have never experienced this level of accuracy before and capturing data was as easy as surveying the site with the naked eye.
The surface of the stockpile is very uneven with lumps on one side and big cliffs on the other where loaders have dug-out salt for spreading, in the past our ‘best guess’ used to involve looking at the stockpile against some markers on the walls of the shed which provided limited accuracy to say the least, so this was a real game changer for us.
Data is then processed using GeoSLAM Hub and imported to the volumes software. As the granules vary in size, we apply a bulk density value as well as defining a floor and perimeter of each pile calculate the total volume of the stockpile in tonnes.
From start to end, the entire process took around twenty minutes. We now have depot staff going out and scanning the stockpiles regularly. This new level of insight means we don’t have to worry about compromising road users’ safety across the state of Iowa as we always know what volume of salt we have available to use.
Laser scanning in the busy environment of Arc de Triomphe
Industry
Conservation
Scan time
10 minutes
Location
Paris, France
Size
50m tall
Scanned
Arc de Triomphe
Geotopo | Words by Samuel Duhaussay
Alongside our work in land management, engineering and rail sectors, our teams dedicate time for architecture and heritage projects, working to preserve just some of the 40,000 listed historic monuments in France alone. As a geospatial technology specialist, we are aware of the great significance many of our historical monuments hold.
One of the most famous, located at the tip of the Champs-Elysees in central Paris, is the Arc de Triomphe. In order to demonstrate to the Parisian crowds the precision and speed of scanning technology, we enlisted the help of GeoSLAM’s ZEB Horizon.
Recognised as the centre of Paris for its position on the iconic roundabout, and measuring 50m tall, 45m wide and 22m deep, access to the Arc is limited. Yet with the ZEB Horizon and its ability to capture distant elements at a range of 100 metres, the handheld scanner proved to be an effective companion for the project.
“The ZEB Horizon was not only fast, but discreet and easy to operate in such a busy environment“
With approximately 600,000 visitors per year, accessing the site with a static scanner would be difficult. In order to carry out the survey, the operator walked around the Arc, returning to complete a figure of eight shape, all in one fluid motion and after ten minutes data capture was complete.
Achieving the same results with a static scanner would have taken considerably longer due to the numerous set-ups and the time it takes to complete each scan. The ZEB Horizon was not only fast, but discreet and easy to operate in such a busy environment.
GeoSLAM technology was at the top of our list to scan the Arc, primarily due to its accuracy, ‘on-the-go’ method of data collection and fast application. In just 10 minutes of data capture, we obtained 10 million cloud points with 2cm accuracy – together depicting the engravings of war victories as designed by architect, Guillaume Abel Blouet in 1833.
Its ability to capture 300,000 points per second made the ZEB Horizon our technology of choice. Understanding the project’s restrictions due to location and popularity, we’re delighted with the outcome, which demonstrates the importance of mobile mapping devices to historical buildings such as this.
ZEB Horizon used to Capture data on Croatia’s forest to understand biomass
Industry
Conservation
Scan time
9 minutes
Location
Čakovec, Croatia
Size
1km in length
Scanned
Forest
Geocentar | Words by Luka Zalovic
“47% of Croatia’s total land area is covered by forest, an area of approximately 25,000km2 . Management of these vast valuable assets is a key industry in Croatia and across its central European neighbours. As well as managing the biodiversity and sustainability of the forests, it is important for commercial logging companies to assess the quality and biomass of the forests for responsible timber sales. This assessment is a growing need – every year, Croatia adds 10.5 million m3 of forestry to its stock.
Methods of forestry management typically involve measuring the height, diameter and relative position of trees using equipment such as tape measures, ultrasound instruments, total stations and terrestrial laser scanners. However, there are limitations to these methods – they’re often time consuming, involve multiple setups and numerous members of staff to take the measurements (especially since forestry is usually in remote and difficult to access areas). Due to dense canopy cover, forests are usually GNSS-denied areas, and along with the uneven terrain, it can be difficult and time consuming to measure with terrestrial laser scanners.
Geocentar have a large client base in the forestry industry and upon delivery of our new ZEB Horizon mobile laser scanner, we decided to put the technology through its paces and see how it weighs up against other solutions for measuring biomass.
“The ZEB Horizon captures forestry data more accurately than traditional methods and eight times faster“
Visiting the Perivoj Zrinskih park, the ZEB Horizon was initialised on a flat surface before the operator navigated around the park at normal walking pace. With a capture range of 100m, It took just 9 minutes in total to walk around the park and capture all the trees.
Back in the office we processed the data with GeoSLAM Hub software, then exported using GeoSLAM Draw. The data was then imported into an open source forestry programme called 3DForest whereupon several parameters could be measured and extracted automatically including ground extraction, tree detection, tree position detection, tree radius determination, tree height determination, tree crowns detection, crowns volume calculation and crowns collision determination.
Later we revisited the park to check the accuracy of their results and re-produced the survey using a total station with built-in REM (Remote Elevation Measurement) and a measuring tape. Not only did it take four minutes per tree to capture data due to all the total station setups, but only four parameters (diameter, height and relative position) could be calculated using these methods. If they had attempted to measure all 217 trees, it would have taken a whopping 14.5 hours!
Using the ZEB Horizon and 3DForest software, it took 9 minutes to scan the park, 12 to process the data in GeoSLAM Hub, 5 minutes to reduce the data size in Hub and prepare the cloud for the forestry software, which took 90 minutes to process. The total workflow took just under two hours to collect and measure all 217 trees – using traditional methods they could have surveyed just 29 trees in this time.
Geocentar calculated that results were accurate to within 3cm and were more accurate than using traditional methods, leading to great cost savings.
As mobile laser scanning becomes faster, more cost effective and accurate, surveying companies are finding them to be one of the most efficient tools for capturing the spatial details of a building in 3D. Pointclouds are being used more and more in the property renovation and architecture markets, where the use of LiDAR and SLAM are driving down cost and increasing efficiency.
CEP David Pierrot is a surveying company based in the South-East of France, in both Cannes and Mandelieu. Since beginning their business in 1965, his company has worked on over 21,000 projects in the Alpes-Maritime and surrounding areas, and they continue to work on over 800 projects per year.
The company is represented by 2 expert surveyors, David Pierrot and Robin Bruna. They understand the value in using the latest hardware and software technologies to achieve the best results for their clients. In recent years David and Robin have adopted GeoSLAM scanners into their arsenal of tools, due to their speed and precision. They began working with the ZEB Revo RT, and have since incorporated two ZEB Horizons into their business.
Pointcloud captured by CEP David Pierrot using GeoSLAM scanners
ZEB Horizon | Scanning a French villa
The company was recently tasked with completing a survey of a villa on a steep hillside, in Théoule-Sur-Mer. The goal of the project was to create a detailed topographical map of the existing building and surrounding area, working closely with an architect who will use the map to plan and conduct new construction work. As the surveying experts, they establish whether the site is suitable for the planned construction work, and the architect uses the 3D/2D vector to put together plans for the construction work.
The GeoSLAM ZEB Horizon was chosen to conduct this scan because of its speed of acquisition, precise measurements, range, and versatility. A large part of the scan took place on a steep hill leading up to the house, so a handheld scanner was the ideal choice.
The surveyor in charge of this scan, Robin Bruna, was able to walk and scan, cutting down the time it took to capture the entire area, whereas a static scanner on a tripod would have taken far longer due to the tough terrain. The entire scan was conducted using only the GeoSLAM ZEB Horizon.
The ZEB Horizon scans points at 40-50m, which allows for a much better trajectory than other mobile scanners.
The area of land scanned, including the house, totalled 8000 sq/m and the whole area was captured in just 4 scans. Each scan took approximately 10-15 minutes to complete, so the team were able to capture useable pointcloud data in approximately one hour!
The separate scans were then processed using GeoSLAM software and merged into a complete 3D pointcloud before being georeferenced. The team then took the pointcloud through a classification process to get a better understanding of the land, before beginning the creation a 3D/2D vector map in Autocad.
They also created longitudinal cuts in the cloud to provide the architect with reliable and visual information about the incline of the hill. The maps created will help the architects carry out landscape insertions and plan out new construction work to the lower part of the property.
The use of the ZEB Horizon meant that the team could not only carry out the entire scan with ease, but due to the speed of data acquisition, they were able to get the pointcloud into the post processing stage far quicker than if they had used a static scanner, thus saving them time and money.
The digitlisation of the land makes it possible for the architect to check the feasibility of construction, without needing to re-visit the area. Finally, in line with the “ordre das geomitics-experts”, David and Robin set up a process that allows the inspection of the measurement accuracy.
To learn more about some of the projects CEP David Pierrot have been involved with, visit them at www.cabinetpierrot.fr
Historic England map out damaged Ramsgate tunnels for redevelopment
Location
Ramsgate, UK
Scan time
10 mins per scan
Size
1km in length
Scanned
Underground tunnel
Industry
Conservation
ZEB Horizon IMapping underground WWI tunnels
There is no doubt that historical projects hold great significance for a location’s cultural heritage and its people. This is the fundamental concept that Historic England apply in their protection and conservation of sites that define English history and the nation itself. They work within communities and alongside specialists to share their knowledge and skills so that everyone can enjoy and maintain the history that surrounds us.
This is evident in Historic England’s Ramsgate Tunnels project, a five-kilometre network of underground passageways which were paramount to the war effort and the safety of local people of Ramsgate, Kent.
Ramsgate Tunnels were once used as an underground narrow-gauge railway, built to connect the town and docks to help improve trade links to Europe. However, the railway soon became a target for enemy bombing. To combat this, it was decided that the network of tunnels should be adapted to protect the people of Ramsgate, and work on this began in 1939.
“GeoSLAM technology was at the top of our list to scan the underground network, primarily due to its long range capabilities”
After falling into disrepair, leaving behind a long-existing collapse in one area of the tunnels, our team at Historic England was invited to work alongside Ramsgate’s Heritage Action Zone in order to redevelop the area’s much-loved historical sites. Enlisting the help of GeoSLAM’s ZEB Horizon to provide a preliminary map of the damage, plans were put in place to assess tunnels that were previously inaccessible in order to extend visitor access.
The ZEB Horizon allowed our team to reach further down each channel where we needed a quick overview of the extent of the damage, and its approximate location relative to the surface. A total of nine scans comprised the complete survey, taking around 10 minutes for each scan. Compared to a static scanner, GeoSLAM’s ZEB Horizon improved the speed of the scanning process dramatically
Placed first in Australia and 20th in the world, Australian National University (ANU) is a research institution with its main campus in Canberra, the country’s capital. The university’s research priorities typically reflect the challenges facing the world today. One such project is to track tree growth and development over time in a joint effort between ANU and Australia’s Commonwealth Scientific and Industrial Research Organisation (CSIRO).
Known as the ‘Precision Measurement of Trees and Forests’ project, the field team is charged with comparing and contrasting different ways of collecting data, using different terrestrial and airborne laser scanners, and working with digital imagery. The survey takes places in the National Arboretum in Canberra which features some 44,000 rare, endangered and symbolic trees and is made up of 94 mini forests.
GeoSLAM’s “go-anywhere” mapping technology was a natural choice for the outdoor project. Unlike terrestrial systems, the splash-proof, dust-tight, mobile laser scanners are designed to operate in the most difficult-to-access spaces, inside or outside, in daylight and darkness – without the need for GPS. What’s more, you can easily attach the portable laser scanners to a drone or helicopter for fast outdoor surveying.
In addition to GeoSLAM’s versatile handheld technology, the team also uses fixed point scanning and traditional forestry measures – such as Suunto and digital photographs from UAV’s. Tom Jovanovic, former CSIRO researcher and now Interactive Technology Specialist at the University of Newcastle, Australia, explains that the technologies are complementary, “Using GeoSLAM from the outset, as well as a different system, has enabled us to compare and contrast different measurements and combine them into a heavily monitored site finding. This includes the high level of resolution being sought.”
“What I really like about this product is that wherever you can walk, you can scan. It really is a case of ‘go-anywhere’ “
Emphasising that the project is specifically designed to take advantage of both static and mobile approaches, Tom Jovanovic says, “What’s nice about scanning with GeoSLAM’s technology is that it doesn’t involve repeatedly setting up in different locations within the research plot. You just initiate the start-up procedure then walk around the plot covering the trees from different angles.”
All forestry professionals like Tom need access to user-friendly technology that is easy to operate but is robust and reliable enough to do the job quickly and accurately. With GeoSLAM scanning technology, he says it takes only 10 to 15 minutes to completely cover a 180 square meter plot, adding, “What I really like about this product is that wherever you can walk, you can scan. It really is a case of ‘go-anywhere’. The scanner has made a significant contribution to an important undertaking. Mobile scanning that gives us dynamic changes over time – from any angle and in 3D – is a very important contributor to this work.”
“Mobile scanning that gives us dynamic changes over time – from any angle and in 3D – is a very important contributor to this work“
These GeoSLAM-delivered findings are vital to the project’s long-term aim. Combining them with knowledge of water usage and photo synthesis, plus meteorological data and high resolution photography, they feed into very fine scale modelling that will guide forestry research management and habitat protection policies into the future.
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
World Trade Center Subway Station
Location:New York, USA ZEB Scanner: ZEB Horizon Scan time:10 Minutes
Would you like to see a specific dataset that’s not on this page? Contact [email protected]
GeoSLAM Sample Data
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
View and download data in our free point cloud viewer
Here’s some helpful tips for the best viewing experience
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if point cloud is coloured).
Bloom Cloud Engine is a powerful on-premise point cloud editor ideal for use in Design, Fabrication, and Construction applications. Easy to deploy across your project team, BloomCE allows users to optimize and condition the point cloud data from all reality capture modalities, providing the fundamentals for Asset Management and Digital Twin project requirements.
Blacklight, based in Romania, focuses on information technology that captures, measures and visualises data used in various fields of activity through providing valuable solutions.
Cybernetech Corporation, based in Japan, is a specialised trading company that offer advanced information and communication equipment and geospatial information technology.
Seiler Instrument is an American company that specialises in distributing surveying software and instruments serving industries such as surveying, engineering and construction.
Favre, Développement & Foresterie, based in Switzerland, are experts in geomatics and work with public and private landowners for forest management and environmental heritage.
3DT Digital Manufacturing is an Australian company that use the latest technology to adapt to changes in real time. It aims to help their customers become more efficient and productive.
Sigma Mascot, based in Hong Kong, provides solutions for 3D Laser Scanning, Geospatial systems and BIM services for industries such as Forestry, Construction and Real Estate.
Precision Laser & Instrument is an American company that offers comprehensive positioning solutions for the Construction, Survey, and GIS industries. They ensure high returns on investments and business success.
Export your point cloud into a range of formats, including LAZ, LAS, PLY and TXT. Datasets can also be exported as structured or unstructured E57 files, both of which include embedded panoramic images.
Surface normals at each point can now be computed from PLY and E57 formats, allowing users to export colourised data and create a high-quality polygonal mesh in third party software .
Stop and Go Georeferencing
Known control points are captured during a scan and automatically compared and matched to the associated coordinates during the processing stage in Connect. A rigid and/or a non-rigid adjustment can be made to the dataset and an accuracy report is exported, highlighting how successful the transformation was. Users can now view and manipulate the processing parameters to ensure a more accurate match between points.
Manual Alignment
Align multiple scans using a combination of manual and automatic processes. This workflow can be performed on two or more scans in the same project. Users have a choice to export the aligned scans separately or as a single merged point cloud.
JP Interactive Viewer
Leverage your GeoSLAM data by integrating JP Interactive Viewer into your workflows. JPIV allows you to unlock the full potential of your reality capture data and distribute actionable insights across your teams.
Our support team will be available for GeoSLAM Care customers on:
Monday 26th, 8 am – 4 pm (GMT)
Tuesday 27th, 8 am – 4 pm (GMT)
Wednesday 28th – 31st December – standard support hours
Monday 2nd January, 8 am – 4 pm (GMT)
From Tuesday 3rd January – standard support hours resume
Test pop-up
fsikajntgfitdshagklndsakj;gnjkdasklngklsa
Click here to view the release notes.
Autodesk Recap
Autodesk Recap contains tools for the manipulation and interpretation of high quality point cloud data and to aid designers and engineers in their creation of 3D models for real-world projects and assets (e.g. buildings and other infrastructure). It’s integrated design features help to streamline workflows, for example Scan to BIM. Recap is used to create initial design projects that users can then take into other Autodesk modules (e.g. Revit, Navisworks, AutoCAD).
Autodesk Navisworks
Autodesk Navisworks is a comprehensive project review solution that supports co-ordination, analysis and communication of design intent and constructability. The software can be used as a common data environment (CDM) for multidisciplinary design data created in a broad range of Building Information Modelling (BIM) packages. Using the tools within Navisworks, users can anticipate and minimise and potential problems between the physical building and the structural model.
Autodesk Revit
Autodesk Revit is a building information modelling (BIM) software. It contains tools which allows for planning and tracking throughout the building’s lifecycle. The software also allows multiple disciplines to collaborate more efficiently and make more informed decisions early in the design process. As GeoSLAM’s hardware allows for quick data capture, the equipment can be used to scan any existing buildings with the purpose of using the data to produce a digital twin.
Orbit GT allows users to capture and manage available 3D data (LiDAR data and imagery), extract a range of features for map production and make data sharable. All Orbit modules are ready to be used with 3D data from indoor, oblique, UAS and mobile mapping projects with other extensions that can be added to the Publisher and Orbit Cloud. Orbit can be used with the ZEB Discovery solution.
ContextCapture
ContextCapture is a reality modelling tool, allowing for the import of any point cloud and imagery data for the creation of high resolution reality meshes. These realistic meshes are accurate representation in 3D with high resolution RGB values of any scanned environment. By using GeoSLAM data in ContextCapture the users are able to create indoor reality meshes, which has been never possible before.
Microstation
Microstation is a 2D/3D software for designing building and infrastructure projects. It includes building information modelling (BIM) tools to document and assess any type of asset throughout its lifecycle. GeoSLAM solutions are often used in Microstation in the underground mining sector and to assess the current stage of any built environment, update the design model, and generate BIM information.
Deswik
With the GeoSLAM Connect stop-and-go georeferencing feature, users can easily georeference headings from known positions and map for analysis of overbreak, underbreak, undercutting and blast roughness calculations. This information is used within Deswik Mapping to analyse headings and levels.
Esri
Outputs from GeoSLAM’s solutions can be input to Esri’s GIS programs and apps, including ArcPro, ArcDesktop, ArcGIS Online and ArcScene. Join point clouds with local geodata or classify and edit scans based on their geography and statistics.
Micromine is a detailed and diverse mining software that provides solutions including modelling, estimation, design, optimisation and scheduling. Once data is exported from Connect it can be imported into Micromine and easily converted into wireframes. These can be used in Micromine for further studies into volumetric slicing, over and underbreak analysis, geologic modelling, face mapping and many more.
Terrasolid provides tools for data processing of airborne and mobile mapping LiDAR data and imagery. It includes different modules for tasks like data manipulation, calibration, georeferencing, point cloud classification, modelling and many more. It is a very powerful tool for a variety of industries, surveyors, civil engineers, planners, designers. Full, UAV or lite versions of Terrasolid modules are available for both MicroStation or Spatix software. All GeoSLAM products are compatible with Terrasolid and GeoSLAM data can be enhanced and edited with this software.
Floorplanner
Floorplanner allows you to draw accurate 2D floorplans within minutes and decorate with over 150,000 items from kitchen appliances to tables and chairs. Data is exported from GeoSLAM Connect in PNG file format with a scale of 1cm per 1 pixel and can be taken into Floorplanner.
Unity
GeoSLAM 3D point cloud data can be imported into Unity 3D Game Engine to generate interactive 3D scenes, where users can create 3D BIM models with textures and explore the space in 3D photorealistic environments.
Unreal Engine
Although Unreal Engine is mainly built for developing games, increasingly users are starting to use it to develop VR applications for understanding the current conditions of buildings, infrastructure and similar. Unreal Engine with a point cloud plugin can be used to visualise GeoSLAM point clouds in VR, which allows for collaboration, simulation and the understanding of current conditions of any scanned environment. Additionally, Unreal Engine tools are completely free.
Veesus Arena4D
Arena4D is a software package for marking up, annotating and editing 3D point cloud data containing a various export capabilities. It has a powerful and simple to use animation package which allows users to visualise massive point clouds in a simple way. GeoSLAM data can be simply uploaded and used in this package for the assessment of the current conditions of any structure, comparing differences between captured data (as built) to designed model (as designed).
Pointfuse
Pointfuse generates 3D meshes from point cloud data and classifies them to building ceilings, walls, windows and other features in IFC format. By using GeoSLAM data with Pointfuse users can very quickly create a classified BIM model with minimal manual input or expertise needed.
MineRP
MineRP has a Spatial DB that uses GeoSLAM data to represent visually the real environment of the underground mine. The software uses other data layers to overlay information on the digital landscape for decision making and tracking.
Pointerra
Pointerra provides a powerful cloud based solution for managing, visualising, working in, analysing, using and sharing massive 3D point clouds and datasets. Pointerra allows users to simply visualise and interrogate GeoSLAM data from anywhere.
Nubigon
Nubigon is a software solution that allows users to seamlessly interact with large point clouds and create visualisations and animations. Take your GeoSLAM point cloud data into Nubigon to create eye-catching flythrough videos.
Here is an example of a visualisation created in Nubigon using GeoSLAM point cloud data:
SLAM Environmental Pre-sets
Common data capture scenarios, such as UAV, outdoor, indoor, linear, and vehicle, have been characterised in Connect and data processing pre-sets for each environment have been defined. These can be selected at the beginning of the data processing stage allowing this process to be highly simplified.
Closed and Open Loop Georeferencing
Both methods match the scan data from a ZEB Locate system with the GPS data collected from the antenna to georeference the point cloud. When a scan starts and ends in the same place, this is classed as “closed loop”. “Open loop” is when the start and end position of a scan are in different locations. Standard SLAM practices apply to both methods of data collection.
Open Loop SLAM for the ZEB Locate is available on request – let’s talk about it.
Stop and Go Alignment
Common static points are captured during several scans meaning that these datasets can be automatically aligned. A single point cloud is then exported as if the data was captured in a single scan.
Floor Slices
Horizontal and vertical slices can be taken from any location within the point cloud. Horizontal floor slices can also be automatically taken at a given height above the floor as defined in the processing stage.
Change Detection
Mostly used in the construction industry, multiple point clouds can be compared and any areas that have changed are automatically highlighted. Point clouds can also be compared with CAD models – for instance to track progress on a construction site – and PDF reports can be generated to present this information.
Queued Processing
Import multiple .geoslam files into Connect for processing and the scans will be processed in the order they were imported. The size of the queue can be defined by the user.
Enquire about the ZEB Horizon RT
Error: Contact form not found.
If your internet connection allows, move the Point Budget slider to the maximum amount available to view all the points in the cloud.
Making the point size smaller using the Point Size slider makes the data easier to view and interpret.
In the tools section of the viewer, you can measure the distance and angles of features within the pointcloud.
Using the materials section of the viewer, you can use the Select Attributes dropdown to view by intensity, elevation and RGB (if pointcloud is coloured)
UK payment plan
UK payment plan info
USA Payment Plan
Coupling with hardware
Some SLAM software algorithms have been made available as open-source on the internet, but they are purely algorithms and not a product that you can take and use off-the-shelf. SLAM is most successful when it is tightly coupled and designed with specific hardware in mind. A generic SLAM cannot perform as well as one that has been specifically designed for a purpose.
Usage in multi-environments
Visual SLAM is closer to the way humans navigate the world, which is why it’s popular with robotic navigation. But in the same vein, vSLAM will have the same image-capture challenges as humans do, for example not being able to look into direct sunlight, or not having enough contrast between the objects picked up in the image. These can be overcome indoors, however, you may need to map a forest, tunnel or urban canyon. While SLAM technologies don’t rely on remote data (meaning you can scan areas where there is no GPS), you do need to ensure the SLAM technology you chose operate well inside, outside, in daylight and darkness.
Real-time data capture
Mapping a property is time-critical. Ideally, you want to make a single visit and gather sufficient data to create a highly accurate 3D model. Ensure the software you choose transforms 3D point cloud data into actionable information in real-time. This allows you to view and interrogate your data whilst still in the field, and make any adjustments, or collect missed data, then and there.
Flexibility and deployment
If you’re trying to map an enclosed environment (e.g. tunnel, mine) or a complex, difficult-to-access space such as a heritage building with tight stairwells and uneven floors, you need to use fully-mobile, adaptable technology. Wheel-based systems, often used with the vSLAM camera, will struggle with access. Handheld devices or LiDAR scanners that can be attached to a drone or pole and still deliver accurate results in a rugged environment are best for navigating hazardous spaces.
Speed and accuracy
While vSLAM is able to provide a qualitative high-level map and sense of the surrounding features, if you’re needing survey-quality accuracy and rich-feature tracking at a local level, you’ll need to consider LiDAR. Cameras require a high-frame-rate and high processing to reconcile data sources and a potential error in visual SLAM is reprojection error, which is the difference between the perceived location of each setpoint
and the actual setpoint.
Quality and distortion
In order to deliver the depth required for high-quality data, a number of depth-sensing cameras are needed with a strong field of view. In most cases, this isn’t possible, especially as cameras with high processing capabilities typically require larger batteries which weigh down airborne scanners, or limit the time of flight. LiDAR is both faster and more accurate than vSLAM, and can deliver detailed point clouds without expensive (and timely) camera processing.