Marcin Szender
Papers
1
Total Citations
3
H-Index
1
About
Marcin Szender is a researcher specializing in autonomous systems and unmanned aerial vehicle (UAV) navigation, with a particular focus on robust perception and control for fixed-wing aircraft. His most-cited work, "Ground Plane Estimation for Obstacle Avoidance During Fixed-Wing UAV Landing" (2021), addresses a critical challenge in autonomous aviation: enabling aircraft to safely detect and avoid obstacles during landing phases without relying on expensive or heavy sensors. By developing novel ground plane estimation techniques, Szender’s research enhances the reliability of UAV operations in complex, unstructured environments—a key step toward integrating drones into civilian airspace. Though his citation count is modest, the practical implications of his work are significant for advancing autonomous landing systems, particularly in search-and-rescue, surveillance, and delivery applications. Szender’s contributions reflect a deep commitment to bridging theoretical algorithms with real-world deployment, making his research valuable for engineers and scientists working on safety-critical autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1