Eduardo Sacogne Fraccaroli

Brazilian Society of Computational and Applied Mathematics

Papers

1

Total Citations

13

H-Index

1

About

Eduardo Sacogne Fraccaroli is a researcher specializing in unmanned aerial vehicle (UAV) perception and autonomous systems, with a focus on ground vehicle detection and classification from aerial platforms. His most-cited work, "Ground Vehicle Detection and Classification by an Unmanned Aerial Vehicle" (2015, 13 citations), addresses the growing use of rotary-wing UAVs in surveillance, agriculture, and other applications by developing methods to identify and categorize vehicles from varying altitudes. This contribution is significant for enhancing the autonomy and reliability of drones in real-world monitoring tasks, leveraging UAV features like mobility, lightweight design, and embedded processing. Sacogne Fraccaroli’s research bridges computer vision and robotics, offering practical solutions for automated aerial inspection. His work has been cited in studies advancing UAV-based object detection, reflecting its relevance to both academic and applied fields. By tackling challenges in dynamic environments, he has helped pave the way for more intelligent drone systems, making his research a valuable resource for students and engineers exploring the intersection of aerial robotics and perception.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Ground Vehicle Detection and Classification by an Unmanned Aerial Vehicle
13 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Brazilian Society of Computational and Applied Mathematics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago