Yawar Rehman

NED University of Engineering and Technology

Papers

Total Citations

H-Index

About

Yawar Rehman is a researcher specializing in 3D geospatial data acquisition, mobile laser scanning, and point cloud generation, particularly in challenging, GPS-denied environments. His work addresses critical limitations in indoor and subterranean mapping, where traditional satellite-based positioning fails. Rehman’s major contribution lies in developing a custom backpack laser scanning system that combines orthogonal 2D Hokuyo laser scanners to produce georeferenced 3D point clouds of built structures without GPS. This innovation enables high-fidelity mapping of complex interiors, tunnels, and other obstructed spaces, with direct applications in robotics, heritage preservation, and infrastructure inspection. His most-cited papers, including “Development of Georeferenced 3D Point Cloud in GPS Denied Environments Using Backpack Laser Scanning System” and “Comparison of Camera and Laser Scanner based 3D Point Cloud,” each with 5 citations, establish foundational comparisons between sensor modalities for 3D modeling. Rehman’s work is notable for bridging the gap between cost-effective sensor integration and robust field deployment, offering practical solutions for real-world mapping challenges. His research continues to influence the development of portable, autonomous mapping systems for GPS-denied environments.