Mobile Mapping Technology, Made Practical
From street-level imagery to actionable spatial data. Horus builds mobile mapping systems that combine proven hardware, intelligent software and configurable sensor setups into one deployable solution.
What is a mobile mapping system?
Mobile mapping is the process of capturing spatial data from a moving vehicle. Cameras, LiDAR sensors and positioning systems work together to record the surrounding environment, street by street, kilometre by kilometre.
What turns that into usable data is synchronisation. Every image and every LiDAR point is linked to a position and a moment in time, so the result is one georeferenced dataset instead of three separate recordings. A single drive can therefore serve road inspection, asset inventory and infrastructure planning at the same time.
Mobile mapping results
The result is a precise, georeferenced dataset that organisations use for road inspection, asset management, infrastructure planning, urban inventarisation and more. Where traditional surveying is slow and labour-intensive, mobile mapping covers large areas quickly and consistently.
Technologies
Modern mobile mapping systems combine multiple technologies in a single unit. The quality of the output depends on how well those technologies are integrated, calibrated and aligned with the use case.
FROM ROUTE TO DELIVERABLE
How a mapping project runs
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Plan
A mapping project starts with the route and the requirement. Which streets, at what density, and what has to be visible in the result. Capture conditions matter: light, traffic, weather and driving speed all affect what the sensors record. Planning the route around those conditions saves repeating the drive.
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Capture
During the drive all sensors record at the same time. Cameras, LiDAR and the positioning unit run in sync, so each frame and each point carries its own position and timestamp. The operator monitors coverage and data quality while driving, because gaps are far cheaper to fix on the same day than in a second campaign.
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Process
After capture the raw data is processed into a georeferenced dataset. Positioning is refined, imagery and point clouds are aligned, and AI models can run over the imagery to detect objects automatically. Depending on the accuracy required, this step includes post-processing of the trajectory.
Deliver
The output goes to the systems where the work actually happens: a GIS environment, an asset management system or a viewer for teams that need to see the imagery. Output formats decide whether a dataset gets used or stays on a drive, so this step is agreed at the start of a project rather than the end.
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Mobile mapping system
Each step depends on the one before it. A gap in capture cannot be fixed in processing, and the best dataset is useless in a format nobody can open.
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INTEGRATION DECIDES THE RESULT
The technologies behind a mobile mapping system
Modern mobile mapping systems combine multiple technologies in a single unit. None of them is remarkable on its own. What determines the quality of the output is how well they are integrated, calibrated and aligned with the use case.
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See Every Angle. Miss Nothing.
360° Spherical Imagery
Mobile mapping starts with capturing the world as it is. Spherical cameras record complete, navigable street-level imagery from a moving vehicle, giving every dataset a full 360° visual context. Horus integrates high-resolution spherical cameras into its mapping systems, connecting image data directly to positioning and processing pipelines for accurate, usable output.
depth beyond the lens
LiDAR
LiDAR uses laser pulses to generate dense, precise 3D point clouds of any environment. In mobile mapping, LiDAR adds a spatial depth layer that imagery alone cannot provide, making it essential for accurate distance measurements, object classification and digital terrain modelling. Horus integrates LiDAR sensors directly into its mapping systems, connecting raw point cloud data to the Horison framework for processing and output.
ACCURACY YOU CAN BUILD ON
Precision Positioning
Accurate positioning is the foundation of reliable spatial data. Without it, every captured image and LiDAR point loses its value. Horus integrates GNSS/INS systems into its mobile mapping hardware, supporting real-time correction via RTX and post-processing via PPK for applications that demand the highest accuracy. The result: less time waiting in the field and more confidence in your data.
HEAT TELLS THE FULL STORY
Infrared Imaging
Infrared and thermal cameras extend the reach of mobile mapping beyond what the eye can see. By capturing heat signatures and infrared radiation, they reveal information relevant to energy inspection, infrastructure monitoring and condition assessment. Horus integrates thermal imaging as an extension to existing mapping systems, allowing organisations to add this data layer without replacing their entire setup.
RAW INPUT. STRUCTURED OUTPUT.
Image Processing
Capturing data is only the first step. Image processing turns raw imagery and sensor output into structured, georeferenced data that can be used for analysis, inventory and decision-making.
Horus builds the software and data pipelines that take captured input through to usable output, including AI-driven object detection via Mercaido and geo-tagging via GeoSuite.
MANY SENSORS. ONE SYSTEM.
Hardware Integration
Modern mapping systems combine multiple sensors, cameras, positioning units and data recorders, all of which need to work together reliably. Hardware integration is the discipline of making that happen without compromise.
Horus has built Horison specifically to connect these components in a flexible, configurable way, so that new sensors can be added, existing systems can be extended and custom configurations can be built without starting from scratch.
PROCESS NOW, SKIP THE CLOUD
Edge AI
Geospatial data is moving from static maps toward real-time intelligence. Edge AI brings processing and analysis directly to the sensor, enabling object detection, classification and decision support without relying on cloud infrastructure. Horus builds edge AI capabilities into its mapping systems, supporting live AI mapping in the field and faster routes from capture to actionable output.
What comes out of a mapping run?
A mapping system is only worth what its output is worth. A dataset that cannot be opened, imported or shared is an expensive archive.
A single Vertex run produces three connected layers: navigable 360° imagery, a georeferenced LiDAR point cloud, and the trajectory that ties both to a position and a moment in time. Imagery is delivered as RAW or JPEG, point cloud data as PCAP, and detections from AI processing as structured data ready for GIS.
Written in the format your systems expect
Standard formats cover most projects, but not all of them. Asset management systems, national data standards and internal databases often expect something specific, and converting data afterwards is where projects lose time and accuracy.
Because Horus builds both the hardware and the software, output can be written directly in a custom format. Not exported and converted, but produced that way from the start. For organisations with an established data standard, this is often the difference between a dataset that gets adopted and one that sits waiting for someone to reformat it.
Where the data goes
Mapping output rarely stays in one place. It feeds GIS environments for analysis, asset management systems for maintenance planning, and viewers for teams who need to see the imagery without needing the software. The right destination is a question to answer before the first drive, not after it.
Ready to start mapping?
Talk to our team about your use case. We’ll help you find the right configuration.
Questions?
We've Got Answers!
How does a mobile mapping system work?
A mobile mapping system mounts sensors, cameras and a GNSS/INS positioning unit onto a vehicle. As the vehicle drives, all sensors record simultaneously. The positioning system ensures every captured image and data point is linked to an accurate location, so the output can be used directly in GIS workflows and spatial analysis.
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