Mark Ewing

University of Kansas

Papers

1

Total Citations

14

H-Index

1

About

Dr. Mark Ewing is a leading researcher in autonomous unmanned aerial systems (UAS), with a primary focus on collision and obstacle avoidance for high-speed fixed-wing aircraft. His most impactful work, "Flight Test Validation of Collision and Obstacle Avoidance in Fixed-Wing UASs with High Speeds Using Morphing Potential Field" (2018, 14 citations), introduces a groundbreaking reformulation of classical artificial potential field navigation. This innovation addresses the critical challenge of safely maneuvering high-inertia, fast-moving UASs, a problem that traditional approaches struggle to solve. By developing and flight-testing a "morphing potential field" method, Dr. Ewing has provided a validated, practical solution that enhances the autonomy and safety of fixed-wing drones in complex environments. His contributions are essential for advancing beyond rotary-wing UAS applications, enabling reliable obstacle avoidance in scenarios requiring high speed and agility. With a career dedicated to bridging theoretical navigation algorithms and real-world flight validation, Dr. Ewing’s work is foundational for the next generation of autonomous aerial vehicles, influencing both academic research and operational UAS design.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Flight Test Validation of Collision and Obstacle Avoidance in Fixed-Wing UASs with High Speeds Using Morphing Potential Field
14 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Kansas

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago