Maria Sagrebin

Papers

Total Citations

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About

Maria Sagrebin’s research focuses on computational vision and motion perception, with a particular emphasis on how dynamic visual information can be used to estimate critical parameters for navigation and robotics. Her most notable contribution, detailed in her 2009 paper “Improved Time-to-Contact Estimation by Using Information from Image Sequences,” addresses a fundamental challenge in visual perception: accurately predicting when an approaching object will make contact. By leveraging temporal cues from image sequences rather than static frames, Sagrebin’s work offers a more robust and biologically inspired method for time-to-contact estimation, which is essential for applications in autonomous driving, drone navigation, and human-robot interaction. Though her citation count is modest, the conceptual clarity and practical relevance of her approach have made it a valuable reference for researchers working on motion analysis and active vision systems. Her work exemplifies how careful modeling of visual dynamics can yield algorithms that are both theoretically sound and directly applicable to real-world sensing challenges. Sagrebin’s research continues to inspire those seeking to bridge the gap between biological vision and machine perception.