Papers
3
Total Citations
59
H-Index
2
About
Francesco Palmieri is a leading researcher in intelligent surveillance systems, autonomous mobile sensor networks, and human-robot interaction. His most impactful work, "Long-term path prediction in urban scenarios using circular distributions" (2017, 45 citations), introduces a novel probabilistic framework for forecasting pedestrian and vehicle trajectories in complex urban environments—a critical contribution to autonomous navigation and safety systems. Palmieri also pioneered the development of mobile sensor networks based on autonomous platforms for homeland security (2012, 12 citations), demonstrating how semi-autonomous robots can replace fixed surveillance infrastructure to reduce costs and improve coverage. His research extends to gesture-based human-robot communication, as seen in his work on Hidden Markov Models for grasping hand gestures classification (2016). With a career focused on bridging robotics, computer vision, and probabilistic modeling, Palmieri’s contributions have directly influenced the design of smarter, more adaptive surveillance and autonomous systems. His work continues to inspire advances in urban mobility, security, and interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1Long-term path prediction in urban scenarios using circular distributions45 citations · 2017
- 2Mobile sensor networks based on autonomous platforms for homeland security12 citations · 2012
- 3