Mapping & Surveying
Professional-grade GNSS/IMU post-processing for mobile mapping systems, UAV photogrammetry, terrestrial LiDAR, and geodetic surveys. High-accuracy trajectories for survey-grade point cloud georeferencing in corridor and urban mapping projects.
Talk to an Expert →Why AlgoNav for Mapping?
Industry-leading accuracy and automation for professional surveying applications.
Mobile Mapping
Precise trajectory computation for vehicle-mounted and backpack LiDAR systems. Tightly-coupled GNSS/IMU sensor fusion supports reliable point cloud georeferencing through urban canyons, partial GNSS outages, and other GNSS-challenged environments.
Geodetic Surveys
High-accuracy static and kinematic processing for geodetic control network establishment, cadastral boundary surveys, and deformation monitoring with full ambiguity resolution.
UAV / Drone Mapping
PPK processing for aerial photogrammetry and LiDAR surveys with direct georeferencing, reducing ground control point requirements while maintaining project-level accuracy targets.
Datum Transformation
Seamless geodetic datum transformation between 5000+ coordinate systems and projections. Deliver results in local cadastral grids or national reference frames without manual conversion chains.
Applications
From highway corridors to urban 3D models, AlgoNav powers the trajectory behind the point cloud.
Corridor Mapping
Highway, railway, pipeline, and powerline route surveys with consistent accuracy over long baselines. Forward-backward smoothing and controlled base-station transitions keep long corridor trajectories uniform.
Cadastral Surveys
Property boundary and land parcel mapping with survey-grade GNSS processing in local coordinate systems. Suitable for cadastral and topographic deliverables tied to national geodetic frameworks.
Topographic Surveys
UAV photogrammetry and LiDAR georeferencing for DTM/DSM generation, volumetric analysis, and site planning. PPK trajectories can reduce the number of required ground control points on large sites.
Geodetic Control Networks
Static and kinematic control network establishment for project control, repeat surveys, and sensor calibration alignment across multi-day mapping campaigns.
Challenges We Solve
Real-world surveying is rarely ideal. AlgoNav is engineered for the conditions you actually encounter.
Urban Canyon GNSS Shadowing
In urban canyons, under tree canopy, and beneath bridges, multipath and signal masking can force RTK-fixed solutions to drop. Tightly-coupled GNSS/IMU processing propagates position and orientation through short outages using inertial data, then constrains drift when clean satellite observations return.
Long Corridor Consistency
Forward-backward smoothing improves consistency over 100+ km corridors and mitigates position discontinuities during base-station handovers. This is critical for road, rail, and pipeline projects where alignment quality must stay uniform over the full route.
Large Dataset Processing
Survey teams often process dozens of missions per week. Cloud-based batch processing automates repetitive workflow steps, so large mission sets can run overnight and be reviewed as verified trajectories the next day.
Multi-Base and PPP Strategy
Automatic selection and weighting of multiple reference stations improves network adjustments across large project areas. When base coverage is weak, PPP-based processing can be used as a fallback strategy to keep trajectories stable and comparable across the full mission, supporting practical RTK vs PPP decisions on the same project.
How Trajectory Quality Affects Point Clouds
In mobile mapping and airborne LiDAR, the trajectory is the foundation of every measurement.
In any mobile mapping or airborne LiDAR system, the quality of the GNSS/IMU trajectory directly determines the accuracy of the resulting point cloud. Every LiDAR point is georeferenced by combining the scanner's range and angle measurement with the position and orientation of the platform at the exact moment of measurement. This means that any error in the trajectory propagates directly into the point cloud.
A 2 cm trajectory error results in a 2 cm point cloud error. Orientation errors are amplified by the measurement range -- at 100 m distance, a 0.01 degree attitude error produces 1.7 cm of positional displacement in the point cloud.
This is why trajectory processing is a critical QA step in professional surveying workflows. The difference between baseline real-time output and validated post-processed output often determines whether final deliverables pass specification checks.
AlgoNav applies tightly-coupled GNSS/IMU sensor fusion with forward-backward smoothing so the full mission dataset can be used after collection. Forward-backward smoothing processes data in both time directions, which means observations recorded after an outage can improve the estimated trajectory during the outage interval. In practice, this helps teams validate real-time RTK trajectories and strengthen results with multi-base or PPP post-processing when required.
For LiDAR georeferencing workflows, this means cleaner strip alignment, fewer trajectory artifacts, and clearer evidence that processing quality is consistent with project tolerances before final delivery.
Supported Workflows
One processing engine for every survey platform and method.
Vehicle-Mounted Mobile Mapping
Car, van, or truck-based LiDAR systems for road surveys, asset inventory, and urban 3D modeling. Process multi-hour drives with automatic GNSS outage bridging through tunnels, underpasses, and dense urban canyons while keeping a consistent georeferencing backbone.
Backpack Mobile Mapping
Pedestrian LiDAR systems for indoor/outdoor transitions, building interiors, and areas inaccessible to vehicles. AlgoNav handles the frequent GNSS outages inherent to backpack workflows, maintaining trajectory continuity through doorways and covered walkways.
UAV / Drone Photogrammetry and LiDAR
PPK drone survey processing for aerial photogrammetry and LiDAR mapping with direct georeferencing. Depending on mission geometry and sensor quality, teams can reduce or eliminate ground control points for orthophotos, DSMs, and 3D point clouds.
Static and Kinematic GNSS Surveys
Traditional geodetic surveys with post-processed baselines. Establish control networks, perform boundary surveys, and monitor deformation with survey-grade precision. Full support for multi-constellation, multi-frequency processing.
Data Compatibility
AlgoNav integrates seamlessly into your existing data pipeline.
Import GNSS observation and navigation data in RINEX format from any receiver manufacturer. Full support for RINEX 2.x, 3.x, and 4.x.
Native support for major IMU manufacturers and sensor grades, from MEMS to fiber-optic and ring-laser gyroscopes.
Export processed trajectories in standard formats including SBET, ASCII, and other common trajectory files used for LiDAR georeferencing and downstream LAS/LAZ production workflows.
Compatible with common LiDAR processing and GIS tools. Import AlgoNav trajectories directly into point cloud georeferencing, strip adjustment, classification, and map production workflows.
Map with Precision
Discover how AlgoNav can enhance your surveying workflows with survey-grade trajectory accuracy, automated batch processing, and seamless integration into your existing mobile mapping pipeline.