Bo-Seung Koo

Kookmin University

Papers

1

Total Citations

10

H-Index

1

About

Bo-Seung Koo is a researcher in autonomous vehicle control systems, with a primary focus on path tracking algorithms that enhance vehicle safety and operational precision. His most-cited work, "When path tracking using look-ahead distance about the lateral error method and the velocity change method tracking comparison" (2014, 10 citations), addresses a critical phase in autonomous driving: the final path tracking step. By comparing kinematic approaches—specifically the lateral error method and the velocity change method—Koo investigates how look-ahead distance influences tracking accuracy and stability. This contribution is foundational for improving the reliability of autonomous vehicles, particularly in dynamic environments where precise steering and speed adjustments are essential. Koo’s research bridges theoretical kinematics with practical application, offering insights into how simple yet effective control strategies can mitigate safety risks. While his citation count reflects a niche but growing field, his work has informed subsequent studies on vehicle dynamics and control, positioning him as a contributor to the foundational engineering challenges of autonomous mobility. For students and researchers, Koo’s work underscores the importance of methodical comparison in advancing autonomous driving technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
When path tracking using look-ahead distance about the lateral error method and the velocity change method tracking comparison
10 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Kookmin University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago