Haris

NED University of Engineering and Technology

Papers

Total Citations

H-Index

About

Haris is a researcher in robotics and 3D modeling, with a focus on advancing object reconstruction and quality assurance through sensor-based technologies. His work centers on comparing and integrating camera and laser scanner systems for generating high-fidelity 3D point clouds, a critical area for applications in re-engineering, interior mapping, and automated quality measurement. His most cited paper, "Comparison of Camera and Laser Scanner based 3D Point Cloud" (2019, 5 citations), provides foundational insights into the trade-offs between these sensing modalities, addressing key challenges in accuracy and data fusion for robotic perception. While his citation count reflects an emerging career, Haris contributes to a hot research topic that bridges computer vision and spatial sensing, offering practical guidance for engineers and researchers developing robust 3D modeling pipelines. His work is particularly relevant for those exploring cost-effective alternatives to laser scanning without compromising precision, positioning him as a thoughtful contributor to the evolving landscape of robotic 3D reconstruction.