Anca Morar

Universitatea Națională de Știință și Tehnologie Politehnica București

Papers

Total Citations

184

H-Index

About

Anca Morar is a leading researcher in computer vision and assistive technologies, with a particular focus on indoor localization and real-time depth sensing. Her most impactful work, "A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision" (2020), has garnered 176 citations, establishing her as a key authority in the field. This survey systematically categorizes localization approaches—from static camera infrastructures for tracking mobile entities to camera-mounted systems for mapping environments—providing a foundational resource for researchers in robotics, navigation, and human-computer interaction. Morar also advanced practical applications with her work on "Kinect depth inpainting in real time" (2016), which addressed critical gaps in RGBD camera data for assistive solutions, particularly for visually impaired individuals. Her contributions bridge theoretical frameworks and real-world deployment, enabling robust navigation and monitoring systems. By synthesizing complex methodologies and driving innovations in depth perception, Morar has significantly shaped how computer vision technologies are applied to indoor environments, making her research indispensable for students and engineers developing next-generation autonomous and assistive systems.