As a technology partner of Kempkes Landmeten, we are responsible for the complete processing pipeline of the mobile mapping data acquired throughout the Rivierenland region. Using a Leica TRK Mobile Mapping System, equipped with a Ladybug 6 panoramic camera and a Leica Pegasus Two EVO LiDAR system, Kempkes captures synchronized panoramic imagery and high-density point clouds of the public space. We transform these raw datasets into high-quality, production-ready deliverables for municipalities and public authorities.
The complete workflow has been developed to deliver reliable, survey-grade datasets that are ready for inspection, asset management, GIS integration, and long-term archiving.
Each survey drive simultaneously captures 360° panoramic imagery and LiDAR point clouds. The synchronized sensor data is processed through an automated workflow that combines imagery, trajectory information, and laser measurements into a single, georeferenced dataset.
The resulting products comply with the technical requirements for municipal mobile mapping projects, including synchronized panoramas and point clouds, accurate georeferencing, colourized point clouds, standardized metadata, and structured delivery formats.
Our processing pipeline includes every step required to convert raw mobile mapping data into production-ready deliverables.
Trajectory Processing
GNSS, IMU, and odometer observations are combined to generate an optimized vehicle trajectory with high positional accuracy. This trajectory forms the foundation for both the panoramic imagery and the LiDAR point clouds.
Point Cloud Registration
Successive LiDAR scans are automatically aligned into a seamless point cloud. Multiple passes are combined while preserving centimetre-level relative accuracy.
Point Cloud Colourization
Every laser point is colourized using the synchronized imagery captured by the Ladybug 6 camera. Because both sensors record simultaneously, the RGB values accurately represent the scene at the moment of acquisition, producing a realistic digital representation of the environment. This is one of the specified technical requirements for the delivered datasets.
AI-Based Privacy Protection
To comply with GDPR and privacy legislation, faces and vehicle licence plates are automatically detected and anonymized using AI. Manual quality control ensures that exceptional cases are corrected before publication.
Quality Assurance
Every project undergoes extensive quality control before delivery. This includes verification of:
Relative measurement accuracy
Absolute positional accuracy
Image sharpness and colour consistency
Complete route coverage
Data completeness
Metadata validation
This quality assurance process ensures compliance with the stringent requirements defined by the contracting municipalities, including image intervals, point density, positional accuracy, and measurement performance.
Processed datasets are supplied in open, industry-standard formats, allowing seamless integration into existing GIS, CAD, BIM, and asset management systems.
Typical deliverables include:
360° panoramic imagery (JPEG, equirectangular)
LiDAR point clouds (LAS/LAZ)
Colourized point clouds
Survey trajectory
Complete image metadata
Point cloud metadata
Structured delivery using standardized grid tiles
Coordinate systems based on RD/NAP where required by the client.
Our processing infrastructure is designed for high-volume production. Large municipal datasets covering thousands of kilometres of road network can be processed efficiently while maintaining consistent quality and delivery times.
The resulting data is immediately ready for publication in the GEORIZON platform or integration into third-party GIS environments and municipal asset management systems.
By combining automated processing, AI-assisted quality control, and vendor-independent data delivery, we enable organizations to obtain maximum value from their mobile mapping investments.
Our processing platform delivers:
Survey-grade positioning accuracy
Fully synchronized panoramic imagery and LiDAR
AI-powered privacy protection
Colourized, high-density point clouds
Open, standards-based deliverables
Vendor-independent workflows
Fast turnaround for large-scale municipal projects
The result is a complete, future-proof mobile mapping processing workflow that transforms raw sensor data into reliable geospatial information ready for operational use.