Infrastructure Monitoring
High-precision GNSS/INS positioning for powerline inspection, structural health monitoring, wind turbine surveys, and railway infrastructure assessment using UAV and mobile sensor platforms, including EMI-heavy corridors and GNSS-denied sections.
Talk to an Expert →Why AlgoNav for Infrastructure?
Reliable, centimeter-accurate positioning for critical infrastructure inspection and long-term monitoring campaigns across energy, transport, and civil engineering assets, including remote sites with limited reference infrastructure.
Powerline Inspection
UAV-based transmission and distribution line surveys with centimeter-level accuracy. AlgoNav processes GNSS and IMU data from drone flights along high-voltage corridors, producing precise trajectories that enable accurate vegetation clearance analysis, repeatable conductor sag measurements, and consistent change detection from LiDAR point clouds.
Bridge and Dam Monitoring
GNSS/INS-based structural deformation monitoring that detects millimeter-level movements over time. By post-processing continuous GNSS observations with AlgoNav, engineers can track settlement, tilt, and lateral displacement of bridges, dams, and retaining walls with the precision required for early warning systems, including segments with limited or blocked satellite visibility.
Telecom Tower Assessment
Tower positioning and tilt monitoring for 5G installations and legacy cell sites. Accurate drone-based surveys georeferenced through AlgoNav post-processing enable detailed 3D models of tower structures, supporting load analysis and antenna placement planning.
Wind Turbine Surveys
Foundation and blade inspection positioning with precise drone trajectory computation. AlgoNav enables repeatable flight paths around turbine towers and nacelles, producing the georeferenced imagery and point clouds needed for photogrammetric defect analysis on rotor blades and structural components, even for remote wind farm locations.
Applications
AlgoNav supports a wide range of infrastructure inspection and monitoring workflows across energy, transport, and civil engineering sectors.
Powerline Corridor Inspection
UAV-based LiDAR surveys for vegetation management and clearance analysis along transmission and distribution lines. AlgoNav produces the precise trajectories needed to generate accurate point clouds for measuring conductor-to-vegetation distances, identifying encroachment risks, quantifying conductor sag, and prioritizing trimming campaigns across hundreds of kilometers of power corridors.
Bridge and Dam Monitoring
GNSS/INS positioning for structural deformation monitoring, detecting millimeter-level movements over time. Long-term observation campaigns processed through AlgoNav reveal gradual settlement, thermal expansion patterns, and seismic-induced shifts in critical civil structures. The consistency of AlgoNav trajectories across repeated measurement epochs ensures that detected changes reflect real deformation rather than processing artifacts, including measurements that pass through GNSS-denied bridge undersides or dam galleries.
Wind Turbine Inspection
Blade and tower inspection positioning with precise drone trajectory for photogrammetric analysis. AlgoNav computes centimeter-accurate flight paths around turbine structures, enabling operators to generate high-resolution 3D models of rotor blades, detect surface cracks and erosion, and track structural changes between inspection intervals with georeferenced accuracy.
Railway Infrastructure Assessment
Track-side asset inventory and corridor mapping with mobile LiDAR systems mounted on rail vehicles or UAVs. AlgoNav processes the GNSS/INS data from these platforms to deliver georeferenced point clouds of track geometry, catenary systems, signaling equipment, and clearance profiles, supporting maintenance planning and regulatory compliance across entire rail networks, including tunnels and other GNSS-denied sections.
Challenges We Solve
Infrastructure inspection presents unique positioning challenges that AlgoNav is specifically designed to address.
EMI Near High-Voltage Lines
Operating UAVs and GNSS receivers near high-voltage power lines exposes equipment to strong electromagnetic interference that can degrade satellite signal quality. AlgoNav's tightly coupled GNSS/INS processing maintains robust positioning even in these electromagnetically challenging environments, using advanced outlier detection and IMU-aided bridging to reject corrupted observations while preserving trajectory continuity along the corridor.
Repeat Survey Accuracy
Effective change detection requires consistent trajectories across multiple inspection campaigns conducted weeks, months, or years apart. AlgoNav delivers repeatable positioning accuracy that ensures point clouds from different epochs align precisely, enabling reliable detection of structural deformation, vegetation growth, and asset deterioration without false positives caused by processing inconsistencies.
Remote Sites and Sparse Base Coverage
Many infrastructure assets are located in mountains, offshore corridors, or rural regions with limited nearby base stations. AlgoNav supports robust post-processing strategies for remote campaigns, including multi-base workflows and PPP-style operations, so teams can maintain reliable centimeter-level accuracy without dense local reference infrastructure.
GNSS-Denied Inspection Segments
Infrastructure surveys often include sections with poor or no satellite visibility, such as under long bridge spans, inside dam galleries, or through rail tunnels. AlgoNav bridges these GNSS gaps using tightly coupled inertial processing and quality-controlled smoothing, preserving trajectory continuity and reducing drift until reliable GNSS observations return.
Infrastructure Inspection Workflow
A typical infrastructure monitoring project follows a streamlined process from planning through analysis, with AlgoNav automating the critical post-processing step.
Flight and Survey Planning
Define the inspection corridor, set flight parameters, and establish GNSS base station locations or identify nearby CORS stations for post-processing reference data, with remote site fallback strategies where local coverage is sparse.
Data Acquisition
Collect raw GNSS observations, IMU measurements, and LiDAR or camera data simultaneously during the UAV flight or mobile survey pass along the infrastructure asset.
Post-Processing with AlgoNav
Upload raw sensor data to AlgoNav Cloud or process via API. The engine computes a centimeter-accurate trajectory using tightly coupled GNSS/INS fusion with forward-backward smoothing, with robust handling of EMI-affected observations and temporary GNSS outages.
Point Cloud Georeferencing
Apply the computed trajectory to LiDAR or photogrammetric data, transforming raw sensor measurements into precisely georeferenced 3D point clouds in the required coordinate reference system.
Analysis and Reporting
Perform infrastructure-specific analysis such as vegetation clearance measurement, structural deformation tracking, or repeat-epoch change detection. Export results to BIM or GIS platforms.
Monitor with Precision
Discover how AlgoNav supports critical infrastructure operations with centimeter-accurate positioning for inspection, monitoring, and asset management workflows.