Victor Asavei

Universitatea Națională de Știință și Tehnologie Politehnica București

Papers

Total Citations

176

H-Index

About

Victor Asavei is a leading researcher in computer vision and indoor localization, whose work bridges the gap between visual perception and spatial intelligence. His most influential contribution, the 2020 survey "A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision," has garnered 176 citations and serves as a foundational reference for the field. In this work, Asavei systematically categorizes localization approaches into two paradigms: infrastructure-based systems using static cameras for object tracking, and mobile-centric methods where cameras on robots or people map visual data to known environments. This taxonomy has guided subsequent research in robotics, autonomous navigation, and smart environments. Beyond this landmark survey, Asavei's research explores the integration of computer vision with sensor fusion to improve accuracy in GPS-denied spaces. His work is particularly impactful for applications in warehouse automation, augmented reality, and assistive technologies. By providing both a comprehensive overview and a clear framework for future innovation, Asavei has established himself as a key voice in advancing how machines understand and navigate indoor spaces through sight.