Sheraz Shamim

NED University of Engineering and Technology

Papers

Total Citations

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About

Sheraz Shamim is a researcher specializing in mobile mapping systems, LiDAR-based sensing, and autonomous localization technologies, with a particular focus on developing affordable, practical solutions for 3D spatial data acquisition. His work addresses a critical challenge in geospatial and robotics research: making high-quality environmental mapping accessible without the prohibitive costs typically associated with professional-grade systems. Shamim's most recognized contribution, "Characterization and Calibration of Multiple 2D Laser Scanners" (2022, 7 citations), offers a rigorous comparative evaluation of compact LiDAR sensors—including Hokuyo and Slamtec devices—laying essential groundwork for researchers selecting hardware for backpack-based mapping platforms. Building on this foundation, his 2021 work on a low-cost backpack scanning system demonstrates how consumer-grade 2D scanners can be combined to generate detailed 3D point clouds of indoor environments, garnering 4 citations. His more recent 2025 study extends these principles to urban vehicle localization, integrating GPS, vision sensors, and odometric data into a cohesive Mobile Mapping System. Collectively, Shamim's research empowers engineers and surveyors to deploy sophisticated spatial mapping capabilities at a fraction of conventional costs, making meaningful contributions to indoor navigation, urban modeling, and applied robotics communities.