A representative KHEERAN LiDAR asset-scanning engagement — the scope and deliverables a typical project provides.
Scope. High-density mobile LiDAR capture of a rail corridor: track, turnouts, signals, OCS/catenary or third-rail infrastructure, platforms, bridges, tunnels, drainage and lineside assets, together with the surrounding terrain and earthworks.
Method. A hi-rail-mounted scanner array collects thousands of points per second within roughly a 100 m radius while cameras record 360° geo-referenced colour imagery. Tightly-coupled GNSS and inertial (IMU) navigation keeps the solution stable even where satellite signal is blocked by vegetation or structures, and the track centreline is measured directly from the scan so every asset carries a chainage and a horizontal/vertical offset from the rail-head plane.
AI processing. Point clouds of billions of points are tiled, denoised and classified using deep-learning models that separate ground from structure and extract assets automatically — delivering accuracy and scale that manual extraction cannot match.
Deliverables. Classified, georeferenced point cloud (LAS/LAZ); asset inventory with locations and attributes; structure-gauge and loading-gauge clearance analysis; vegetation and right-of-way encroachment mapping; and 3D/BIM models ready for design, simulation or asset-management systems. Combined with our GPR and geometry services, the result is a complete picture of the corridor — above and below the ballast line.