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3D Mobile LiDAR Survey of Expressways & Highways

3D Mobile LiDAR Survey of Expressways & Highways

“Leica Pegasus One” 3D Mobile LiDAR Survey & mapping System. It is also the in India to possess 2 numbers of ‘Leica Pegasus Two’ Mobile LiDAR Systems. We use this, State of the art, 3D Mobile LiDAR Technology for carrying out 3D LiDAR topographic survey of Expressway, Highway for Feasibility Surveys Report (FSR) projects in India.

NHAI (National Highway Authority of India) Memorandum has made the Mobile LiDAR technology mandatory in preparation of the Feasibility Study Report (FSR) and Detailed Project Report (DPR) for bringing more accuracy & speed in the execution of such highway projects.Roads are an important mode of transport in India. India has a network of over 58,97,671 kilometers (36,64,643 mi) of roads as of 31 March 2017. This is the second-largest road network in the world, after the United States. The National highways in India are a network of trunk roads that is owned by the Ministry of Road Transport and Highways. It is constructed and managed by the National Highway Authority of India (NHAI), the National Highways and Infrastructure Development Corporation (NHIDCL), and the public works departments (PWD) of state governments.

The Leica ‘Pegasus Two’ mobile LiDAR System can capture:

  • ‘3D Scan point cloud data’ in 360 degrees: (using Z+F 9012 profiler).
  • ‘High Resolution photographs’ in all directions. (using CCD Cameras).
  • ‘Trajectory file’ / position information, (using GNSS Receivers).

The ‘Leica Pegasus Two’ system gives a unique & complete Survey grade mobile mapping solution to our clients with high speed & accuracy. The system can be mounted on any four-wheeler vehicle & can capture high precise data upto +/- 2 cm for about 100 Km of Highways in one day, which would have taken at least a month using primitive Electronic Total Stations (ETS) method.We have the capacity to capture LiDAR data of highways for about 200 Kilometers per day using two instruments, with accuracy of about +/- 2 cm. We have successfully completed of highway surveys throughout India using 3D Mobile LiDAR technology.

The Leica ‘Pegasus Two’ mobile LiDAR System can capture:

  • ‘3D Scan point cloud data’ in 360 degrees: (using Z+F 9012 profiler).
  • ‘High Resolution photographs’ in all directions. (using CCD Cameras).
  • ‘Trajectory file’ / position information, (using GNSS Receivers).

The Pegasus system captures dense 3D point cloud data with calibrated imagery and enables processing, visualization and mapping through user-friendly software platform “Way Point Inertial Explorer, Leica Auto PP & Leica Map Factory Advanced”. Further, after post processing & feature extraction of the 3D point cloud data, output in desired format like AutoCAD *.dwg or Arc GIS *.shp files can be obtained. The further deliveries also include the cross section in *.csv and *.dxf format of bare earth, DTM / TIN, Contours, 360 degrees’ panoramic views of the entire highway corridor.

Key points of LiDAR Data Capture using our Mobile LiDAR ‘Leica Pegasus Two’

  • Mobile LiDAR Data can be collected with the speed of vehicle varying from 10 Km / hour (on city roads) up to 80 Km / hour (on Highways). Ideal vehicle speed maintained by us is usually 30 to 40 Km / hour on city roads and 40 to 50 Km / hour on Highways.
  • Each run of Mobile LiDAR can easily capture about 150 m corridor (i.e. 75 m on either side of the run) with dense 3D point cloud data, 360 degrees panoramic view camera data and GNSS / IMU data. Multiple runs are usually required for capturing high quality 3D point cloud data on Highways and Expressways with median, grade separators and service roads.
  • In one day, about 70 Km to 100 Km length Mobile LiDAR data can be easily collected by ‘Leica Pegasus Two’ on a two-lane highway with single run.
  • The raw data collected on site is so dense (about 1 GB data collected for 1 Km length of highway) that it has to be downloaded into external hard disk and transported to the head office for further data processing and feature extraction, from the registered 3D point cloud data.

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