Application of Light Detection and Ranging in Right-of-Way Management Program

Light detection and ranging (LiDAR) is a method that uses light in the form of a pulsed laser to measure variable distances. These pulses are combined with other data (Global Navigation Satellite System (GNSS) and inertial navigation system (INS)) to precisely obtain the position of points over the shape of the earth and its surface characteristics. The capability of LiDAR to collect an enormous amount of data makes it perfect for pipeline right-of-way (ROW) management. However, handling a large dataset and extracting the features of interest is challenging and it requires intelligent and fast algorithms to automate the process. Machine and deep learning models are able to efficiently and progressively classify different objects from LiDAR datasets which enables us to check the surroundings of the pipelines which will be addressed in this research project.

Faculty Supervisor:

Shabnam Jabari


Morteza Esfandiari


McElhanney Consulting Services Ltd




Professional, scientific and technical services


University of New Brunswick



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