Marcella Astrid

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Marcella Astrid is a researcher focused on advancing autonomous navigation and visual surveillance systems, with key contributions in anomaly detection and intersection classification. Her most cited work, "An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration" (2021, 25 citations), pioneers autonomous anomaly detection using mobile robots rather than static cameras, significantly expanding surveillance coverage and enabling dynamic human-robot collaboration. This work addresses a critical limitation in prior algorithms, offering a more flexible and effective approach for real-world security applications. Astrid also leads innovative research in pedestrian-view intersection classification, as seen in "For Safer Navigation: Pedestrian-View Intersection Classification" (2020, 4 citations) and "What Do Pedestrians See?: Visualizing Pedestrian-View Intersection Classification" (2020, 2 citations). Unlike traditional studies focused on aerial or road vehicle navigation, her work uniquely tackles intersection classification from a pedestrian perspective, supporting safer navigation for slower, smaller robots and enhancing autonomous systems in complex urban environments. Her research bridges gaps in visual surveillance and autonomous mobility, with potential impacts on robotics, smart cities, and assistive technologies.