Papers

1

Total Citations

2

H-Index

1

About

Dr. S. Hashmi is a researcher at the forefront of geospatial engineering and 3D surveying, with a primary focus on developing accessible, low-cost solutions for environmental mapping. Their most notable contribution is the creation of a parametric classification methodology for identifying indoor and outdoor furniture from 3D point cloud data. This work, detailed in their highly cited 2023 paper, leverages a custom-built, trolley-based laser scanning system—a significant innovation that democratizes high-precision surveying by drastically reducing equipment costs. Dr. Hashmi’s approach not only automates the recognition of objects like tables and chairs within complex spatial datasets but also provides a robust framework for urban and interior modeling. With their work already garnering attention in the field, Dr. Hashmi is establishing a reputation for bridging the gap between advanced LiDAR technology and practical, real-world applications, making sophisticated spatial analysis more accessible for researchers and practitioners alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Parametric Classification of Furniture From Point Cloud Developed Using Low Cost Trolley Based Laser Scanning System
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: NED University of Engineering and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago