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).
In this Chartered Institution of Civil Engineering Surveyors article, Dr Neil Slatcher talks all things SLAM, answering questions such as ‘What’s the difference between SLAM and traditional laser scanning?’ and ‘What kind of SLAM types are there?’.
Surveying Avalanches in the French Alps
Location
Savoie Region, France
Scan time
2 hours
Size
3000 sq/m
Scanned
Avalanches and Snowpacks
Industry
Education
Assessing Levels of Energy Radiation through Differing Conditions
Climate Change is often attributed to greenhouse gases, however, there are also other factors that affect the Earth’s climate. One example of this is the ‘Earth’s radiation budget’. Earth’s radiation budget is energy that enters the earth’s atmosphere that is reflected, absorbed, or emitted by our planet. If the budget becomes out of balance, it can cause temperature increases or decreases in the Earth’s atmosphere.
A team from the Institut de Physique du Globe de Paris (IPGP), a world-renowned geosciences organisation, have conducted research in this field. Their research focuses on how differences in surface roughness effect the amount of microwave radiation picked up by satellites.
Comparing Surface Roughness of Snowpacks and Avalanches in the Vanoise Massif Mountain Range
For their research, the team have been concentrating on snowpacks and avalanches in the Vanoise Massif Mountain range. They aim to compare the two satellite observations to assess the effect of the change in roughness when avalanches form using radiative transfer modeling. This is the process that measures radiation from the Sun into and out of the Earth. High levels of sun radiation can cause snow to melt which, in turn, can cause avalanches.
The Vanoise Massif Mountain range is in the Granian Alps, in the Savoie region of France. It is the third highest massif in France, sitting at 3,885 meters at the summit Grande Casse. The range is the location of France’s first National Park, the Vanoise National Park.
The Mountain Range’sDangerous and Difficult to Access Environments
To collect data from the snowpacks and avalanches, the team needed an accurate 3D model of the area. Vanoise National Park is a no-fly zone which meant that UAVs were not an option. Additionally, the team did not want to spend extended periods of time on the mountain due to the risk of avalanches. This ruled out more time-consuming methods of scanning, like terrestrial laser scanners.
As a result, the team needed a more efficient way of mapping the difficult area. They decided SLAM was their best option and chose to use GeoSLAM’s ZEB Horizon with the backpack solution.
We were looking for a portable, versatile and affordable LiDAR scanner solution and GeoSLAM allows us to meet all our constraints.
Using ZEB Horizon to Safely Map Avalanches in the Vanoise Massif Mountain Range
The walk and scan method and versatility of the ZEB Horizon stood out to the team from IPGP. The specificity of the environment meant they needed to use technology that was easily movable and durable. In addition, the backpack solution was essential because it meant that the person carrying out the scan had their hands free to help them navigate the rough terrain.
Furthermore, the ZEB Horizon’s speed of capture meant the team were able to scan the 3000 sq/m area in approximately 2 hours. This ensured that they did not spend too long in the hazardous mountain range, whilst capturing the accurate data they needed.
Creating Accurate Data to be used in IPGP’s Research
The scan was processed using GeoSLAM’s software package. The resulting point cloud is being integrated in IPGP’s research analysis and modelling.
The ZEB Horizon’s ease of use and accuracy means the scan data can be compared with the data collected from the satellite observations. This is known as ground truth analysis and helps with clarity within the research. The scan data also aids with data calibration which allows for atmospheric effects and obstructions to be considered when analysing the final data.
The positive outcome of the data has encouraged the Institut de Physique du Globe de Paris to plan additional surveys in this area.
Monitoring environmental changes are just one of the ways GeoSLAM customers are using their mobile mapping devices, alongside more common everyday uses like measuring buildings or construction sites.
Thanks to the team at Institut de Physique du Globe de Paris for sharing their story with us.
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).
With ever-increasing research and development in the technology, the advances in both scanning hardware and processing software are improving the detail, scale and use of point cloud data. One of these improvements is colourisation. Adding colour has plenty of benefits when viewing and analysing point cloud data.
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).
Would you like to see a specific dataset that’s not on this page? Contact [email protected]
3DMapping Informal Settlements in Bengaluru, India
Location
Bengaluru, India
Scan time
25-27 minutes per scan
Size
40 acres
Scanned
Informal Settlements
Industry
Surveying
Accurately Mapping Informal Settlements in Bengaluru, India
The informal settlements in Bengaluru, India, house roughly 16% of the city’s population and there are around 500 recognised in this area.
Currently, Bengaluru is going through a period of modernisation and urbanisation which has caused the city limits to expand. As a result, the local government must provide documents of every house, detailing accurate measurements of its structure, such as boundary lines and roof heights.
The government has plans to formally declare ownership of the settlements to the people living in them, which means a map of the whole area was needed.
The Informal Settlements Narrow Lanes and Changing Environments
A team from a reputed geospatial company appointed by government, surveyed the area and collected this data. This involved mapping the informal settlements in Bengaluru with their complex layouts. The task was challenging as they include many narrow lanes that are difficult to access. Additionally, people were going about their daily activities.
Furthermore, some parts of the settlements are in dark and cramped areas whereas others are in direct sunlight. Consequently, the team needed to find adaptable solutions and technology that could handle these difficult environments, as well as deliver on the task in hand.
The area in question is a no-fly zone, which meant that drones were not an option. However, other methods for capturing data such as static scanning wouldn’t be feasible because of the busyness of the area. The cramped streets also meant the team would struggle to use a backpack solution either.
Scanning Difficult to Access Areas with ZEB Horizon
A fast and effective way to map the informal settlements was to walk through the complex passages, and a handheld laser scanner was the most suitable option. The geospatial company chose GeoSLAM’s ZEB Horizon scanner, due to its quick method of capturing accurate data and ease of use. The lightweight solution means that only one person is required to scan an area at any one time. This is less disruptive to the surveying team, which in turn is cost effective for them and their client.
The extensive maze of restricted passages and dead ends did not affect the versatile SLAM technology. By using the ZEB Horizon, the team were able to scan 40-45 different areas of the settlements. The team captured smaller areas of the informal settlements in a single scan ranging from 25-27 minutes. The team mapped larger areas over multiple scans, sending them to the client individually.
The ZEB Horizon provided good quality data and allowed us to scan difficult to access areas accurately and efficiently.
Creating accurate point clouds for the client
The final scans were imported into GeoSLAM Draw where orthophotos were automatically created. As a result, the engineers could make accurate measurements in a timely manner. In addition, the point clouds were exported to Terra Solid, where further information was extracted for the final report.
The final data delivered on their client’s accuracy goals. They were able to smoothly extract the boundaries and roofs of every single house in the informal settlements.
GeoSLAM’s technology in use elsewhere
This is not the first time that GeoSLAM technology has been used to map informal settlements in India. The ZEB Revo was used to accurately scan the settlements of Mumbai in 2017. The resulting 3D point cloud helped to extract information about the elevations and sections of each house frontage.
Surveying buildings is difficult and accessing hard to reach areas, like dropped ceiling or raised floors, without disrupting business can be seemingly impossible. In this blog we’ll discuss how SLAM and LiDAR technology has made scanning behind dropped ceilings a simple process.
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).
Peak Cavern
Location:Peak District, UK ZEB Scanner: ZEB Horizon Scan time:27 Minutes
This data was captured as part of the Big SLAM Tour of the UK, read about it here.
Boulby mine was one of the first in the world to use SLAM technology, having adopted GeoSLAM’s ZEB1 into their workflow, in 2013. Nowadays, the mine operates GeoSLAM ZEB Horizons for most of their survey needs.
Surveying Boston City Hall
Location
Boston, USA
Scan time
Approx. 20 minutes per scan
Size
Over 1 million sq/ft
Scanned
Boston City Hall
Industry
Surveying
Mapping an Iconic Landmark
Boston City Hall was built in 1968, to help boost the city’s economy after years of stagnation. The building and surrounding plaza sought to modernize the city’s urban centre, reinvigorating the run-down neighbourhood of Scollay Square.
Despite the public investment project being welcomed by the people of Boston, the buildings ‘brutalist’ style of architecture created debate amongst the locals, with some suggesting you either love or hate the concrete design. In spite of the concerns from the public, the city hall has been home to the mayor of Boston and the city council for over 5 decades, and the ‘brutal’ style of architecture has become part of Boston’s rich history.
To encourage more people to use Boston City Hall and to increase accessibility, it was decided in 2017 that the City Hall would be renovated to serve a more modernized purpose. The infrastructure upgrades include better access to utilities, plants and fountains in the plaza area, with the intention of encouraging more people to visit.
The Horizon was a gamechanger…it’s just amazing in terms of the scanning distance, power of the sensor and the ability to easily capture the entire plaza.
Peter Garran and his team, from Aerial Genomics, were appointed by The City of Boston and Sasaki with the task of scanning both the interior and exterior of the City Hall, in anticipation of the renovation project. Spanning 9 floors and housing multiple individual rooms, as well as a busy plaza area, the task of mapping the building threatened to take several months to complete. Also, the City Hall is an active office that contains confidential rooms and Aerial Genomics did not want to disrupt everyday operations too much. Considering their options, the team decided the fastest and most cost-effective way of mapping the building and its surrounding area would be to use mobile LiDAR scanners.
They chose a ZEB Horizon to scan the exterior and inside the Main Hall. The ZEB Revo RT was used to map the buildings vast interior. These scanners were chosen due to their speed, accuracy and mobility. By simply walking around the building, Peter and his team captured the large layout, saving them time.
As they were scanning during the pandemic, it was key for Peter and his team to spend as little time as possible in the building and compared to other scanning methods, GeoSLAM’s scanners were able to deliver on that goal. With the ZEB Horizon, Aerial Genomics captured both the exterior and interior of the Main Hall in just 4 scans, and in less than 2 hours. This scanner was specifically chosen to scan the Main Hall due to its 100m range being able to capture the high walls. To help combat getting in the way of the City Halls’ day-to-day business, the team were given limited amounts of time in the evening to scan a multitude of rooms inside the Hall. Using the ZEB Revo RT, the team could scan the almost 1 million square feet interior, in just 4 nights, consisting of 5 hours each night.
The scans were processed using GeoSLAM Hub and merged to create one point cloud, by Aerial Genomics. The manoeuvrability, ease of use and accuracy that the ZEB scanners provided meant the data collected was ready within a week, to be created as a BIM model to send to the architects. The simple, easy to use solution meant the architects could start thinking about the redevelopment and renovation, without the need to visit the hall during a pandemic. The final BIM model, created in Autodesk Revit, is still referred to today.
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
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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
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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)
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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.
