Papers

1

Total Citations

3

H-Index

1

About

J. Nowacki is a researcher specializing in autonomous systems and unmanned aerial vehicle (UAV) navigation, with a particular focus on robust perception for safe landing operations. Their most-cited work, "Ground Plane Estimation for Obstacle Avoidance During Fixed-Wing UAV Landing" (2021), addresses a critical challenge in autonomous aviation: enabling fixed-wing drones to accurately estimate terrain geometry in real time to avoid obstacles during descent. This contribution is pivotal for advancing beyond visual line-of-sight (BVLOS) operations and enhancing the reliability of autonomous landing in unstructured environments. While their citation count is modest, the work reflects a deep engagement with practical, safety-critical problems in robotics and control systems. Nowacki’s research bridges computer vision, state estimation, and flight dynamics, offering tangible solutions for next-generation UAV autonomy. Their focus on real-world deployment—rather than purely theoretical advances—positions them as a practical innovator in the field. For students and researchers interested in the intersection of perception and control for aerial robotics, Nowacki’s work provides a grounded, application-driven perspective on how to make autonomous flight safer and more resilient.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Ground Plane Estimation for Obstacle Avoidance During Fixed-Wing UAV Landing
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Polish-Japanese Academy of Information Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago