Gian Luca Foresti
Papers
11
Total Citations
146
H-Index
7
About
Gian Luca Foresti is a leading researcher in autonomous robotics and intelligent surveillance systems, with a focus on enhancing security through multi-sensor integration. His work spans autonomous vehicles for indoor video surveillance, multi-purpose robots for target recognition in unknown environments, and aerial robotic sensor networks for urban monitoring. Foresti’s major contributions include developing an Autonomous Surveillance Vehicle (ASV) that combines robotic navigation with real-time video analysis, and pioneering methods for automatic estimation of UAV flight parameters to optimize wide-area monitoring. His research on data fusion in modern surveillance and acoustic source localization using compact sensor arrays has advanced the field’s ability to detect and track hidden or encrypted targets. With over 140 citations across his most-cited papers, Foresti’s impact is evident in his innovative approaches to integrating visual cryptography, beamforming, and Kalman filtering into robotic systems. Notable achievements include his work on auto-organizing aerial sensor networks and time-varying delay measurement for visual servoing, demonstrating a consistent drive to solve complex, real-world security challenges. His research remains highly relevant for students and engineers interested in autonomous systems, sensor fusion, and intelligent surveillance.
Research Focus
Key Achievements
Top Papers
- 1An Autonomous Vehicle for Video Surveillance of Indoor Environments37 citations · 2007
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- 5Data Fusion in Modern Surveillance12 citations · 2011
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- 7Visual Cryptography for Detecting Hidden Targets by Small-Scale Robots8 citations · 2019
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