LiDAR Corridor Mapping for Highway
Project Overview
High-density point cloud generation for a 120km highway corridor, supporting detailed engineering design.
The Challenge
NHAI required highly accurate 3D terrain data for designing a new 4-lane highway expansion. The corridor passed through varied terrain including agricultural lands, urban areas, and forested regions, requiring comprehensive data capture.
Our Solution
We utilized drone-mounted LiDAR sensors combined with RGB cameras to capture detailed point cloud data. Multiple flight missions were conducted at optimal times to ensure consistent data quality. Post-processing involved noise filtering, classification, and feature extraction.
Key Results
Captured 500+ million points with 50 points/sqm density
Achieved vertical accuracy of ±5cm throughout the corridor
Classified terrain into 12 distinct categories
Generated cross-sections at 20m intervals
Delivered complete dataset 2 weeks ahead of schedule
Project Gallery
“The LiDAR data quality was exceptional. It significantly accelerated our design phase and helped identify potential issues early.”
Venkat Reddy
Project Director, NHAI
Client
National Highways Authority of India
Project Area
120 km corridor
Duration
6 weeks
Team Size
8 specialists