01 · REVIEW
Inputs and reference systems
Inspect dataset completeness, coordinate metadata, trajectory or image references, file segmentation and the requested output schema.
MOBILE POINT CLOUDS · STREET-LEVEL DATA · FEATURE EXTRACTION
Make mobile mapping data ready for asset workflows.
GeoProcess Consulting supports downstream processing of mobile-mapping datasets supplied by clients. Depending on the available inputs and specification, work may include point-cloud organization, classification, feature extraction, mapping layers and QA/QC for corridor or asset programs.
Mobile point cloudsStreet-level
assetsFeature
extractionClassificationCorridorsQA/QC
MOBILE MAPPING / CORRIDORS
GPC
POINT CLOUD
ENGINEERING DATA
GIS INTELLIGENCE
CORRIDOR INTELLIGENCE
OUR APPROACH
A structured workflow from source data to usable deliverables.
Mobile mapping may combine dense point clouds, imagery and positioning information. Processing should preserve the source coordinate reference, trajectory context and required feature attributes while preparing consistent outputs for the next system.
02 · PROCESS
Classification and feature extraction
Organize point-cloud data and extract required assets or mapped features according to the project-defined classes and attributes.
03 · DELIVER
Corridor and asset-ready data
Prepare structured outputs, review spatial alignment, check feature completeness and document exceptions or data gaps.
CORRIDOR AND STREET-LEVEL DATA
Turn moving-platform scans into usable inventory.
Mobile mapping data can combine LiDAR, imagery and a positioning trajectory. The processing workflow must consider sensor alignment, trajectory quality, occlusion and how features will be consumed by GIS, CAD or asset teams.
Trajectory and point-cloud review
Check coordinate reference, trajectory coverage, strip consistency and obvious offsets. GNSS/IMU quality and synchronization influence how well the point cloud fits mapped features.
Road and roadside assets
Prepare requested classes or features such as road edges, signs, poles, kerbs, façades, vegetation, street furniture and selected corridor assets when the source data supports them.
GIS, CAD and QA outputs
Deliver organized point clouds, vector layers, inventory attributes and exception notes in formats and schemas agreed for the client's asset system.
Scope depends on visibility:
Features behind vehicles, inside dense vegetation or outside the sensor field of view may be incomplete. We identify coverage gaps rather than imply every asset is present in the source scan.
VISUAL WORKFLOW / EXAMPLE OUTPUTS
See the data take shape.
Illustrative outputs from related geospatial workflows. Final deliverables are agreed to the project specification.
TYPICAL DELIVERABLES
Outputs aligned to the project specification.
- Organized mobile mapping datasets
- Classified point-cloud files where required
- Asset and corridor feature layers
- Attribute and schema preparation
- Coverage and consistency QA
- Structured export packages
This service page describes processing support for supplied data; it does not claim GeoProcess Consulting provides mobile mapping vehicles or field acquisition.