Fiorenza Ferrari

Papers

Total Citations

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About

Fiorenza Ferrari is a robotics and computer vision researcher whose work has made meaningful contributions to the field of autonomous mobile robot navigation. With a research focus spanning stereo vision systems, real-time obstacle avoidance, and vision-based navigation architectures, Ferrari has dedicated her career to solving fundamental challenges in enabling robots to perceive and navigate complex environments safely and independently. Her most influential work, "A Stereo Vision System for Real Time Obstacle Avoidance in Unknown Environments" (2002), has garnered 47 citations and stands as a significant contribution to the field, presenting a robust low-level control system grounded in Brooks' subsumption architecture. This research demonstrated practical, real-time stereo vision algorithms capable of guiding mobile robots through unstructured, unknown spaces — a critical step toward truly autonomous robotic systems. Ferrari's earlier work in the early 1990s laid important groundwork, exploring multilevel navigation architectures and vision-based systems using CCD camera arrays for ground plane obstacle detection. Conducted at the DIST-University of Genoa, this research helped establish foundational frameworks that later researchers would build upon. Her sustained contributions across more than a decade reflect a committed and evolving engagement with the challenges of real-world robotic autonomy.