Jan-Philipp von Bassewitz
Swiss Federal Institute for Forest, Snow and Landscape Research
Papers
1
Total Citations
9
H-Index
1
About
Jan-Philipp von Bassewitz is a robotics researcher whose work focuses on enabling autonomous aerial robots to navigate complex, unstructured environments, particularly forests. His key research areas include robotic perception, computer vision, and autonomous navigation in cluttered, GPS-denied settings. His most notable contribution is the development of methods for learning occluded branch depth maps in forest environments using RGB-D images, a critical advancement for allowing drones to safely traverse dense vegetation. This work, published in 2024 and already garnering 9 citations, addresses the fundamental challenge of perceiving hidden obstacles that standard sensors cannot directly see. By tackling the problem of occlusion in forests—which cover over a third of terrestrial land—his research has direct implications for environmental monitoring, precision agriculture, and search and rescue operations. Von Bassewitz’s contributions are helping to bridge the gap between current drone capabilities and the demanding requirements of real-world, off-road autonomy, making him a rising figure in field robotics.
Research Focus
Key Achievements
Top Papers
- 1