Drone-Based LiDAR Topographic Survey for Railway Corridor Mapping

Prepare a high-precision railway corridor map with a Ground Sampling Distance (GSD) of ≤3 cm/pixel, enabling detailed analysis of terrain and existing infrastructure.

Utilise Light Detection and Ranging (LiDAR) to accurately detect railway assets, terrain variations, vegetation, and built structures along the corridor.

Combine LiDAR point cloud datasets with high-resolution RGB aerial imagery to improve spatial accuracy and enable realistic visualisation of mapped features.

Perform detailed mapping of railway infrastructure components including: Approach roads, Shoulders and embankments, Foot Over Bridges (FOBs), Underpasses, Railway bridges, Nearby structures and buildings.

High-density LiDAR sensors mounted on UAVs were used to capture precise terrain and infrastructure data along the railway corridor. This approach enabled rapid data collection even in large and difficult terrains.

High-resolution RGB aerial images were captured simultaneously with LiDAR scans to enhance visualisation and feature identification.

Captured LiDAR data was processed to generate high-precision 3D terrain models and elevation datasets. These datasets provide critical inputs for railway engineering design and alignment planning.

Advanced processing techniques were used to extract key infrastructure and terrain features from LiDAR datasets.