Syed Muhammad Yasir

NED University of Engineering and Technology

Papers

2

Total Citations

11

H-Index

2

About

Syed Muhammad Yasir is a researcher specializing in low-cost 3D mapping, laser scanner calibration, and indoor mobile mapping systems. His work focuses on developing accessible, backpack-based scanning solutions for generating high-fidelity 3D point clouds of built environments. Yasir’s most cited paper, “Characterization and calibration of multiple 2D laser scanners” (2022, 7 citations), provides a comparative evaluation of compact scanners like Hokuyo URG-04LX and Slamtec RPLidar A1-M8, addressing critical calibration challenges for portable mapping. His follow-up study, “Low Cost Backpack Scanning and Mapping System for Indoor Environments” (2021, 4 citations), demonstrates a practical system combining multiple 2D Hokuyo lasers to create detailed 3D point clouds of interior spaces. These contributions are significant for democratizing 3D mapping technology, making it more affordable and portable for applications in architecture, heritage preservation, and robotics. Yasir’s work bridges the gap between high-cost commercial systems and DIY solutions, offering reproducible methodologies for researchers and practitioners. His achievements highlight a commitment to advancing spatial data acquisition through rigorous sensor characterization and system integration, with clear potential for real-world deployment in indoor navigation and structural surveying.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Characterization and calibration of multiple 2D laser scanners
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: NED University of Engineering and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago