Moveh Samuel
Papers
2
Total Citations
177
H-Index
2
About
Moveh Samuel is a researcher specializing in autonomous vehicle control systems, with a primary focus on path tracking and driver-assistance technologies. His most influential work, "A Review of some Pure-Pursuit based Path Tracking Techniques for Control of Autonomous Vehicle" (2016), has garnered 175 citations, establishing him as a key voice in the field. In this seminal review, Samuel systematically compares geometric path tracking methods—including pure-pursuit, vector pursuit, and CF-pursuit—providing a foundational resource for engineers designing autonomous navigation systems. His analysis of look-ahead distance and lateral control algorithms has directly informed subsequent developments in self-driving vehicle steering controllers. Samuel also contributed to lane-keeping safety with his 2018 paper "Development of Lane Keeping Controller Using Image processing," which addresses dynamic traffic congestion by automatically regulating a vehicle's lateral position through computer vision. Though less cited, this work demonstrates his commitment to practical, real-world driving safety solutions. Samuel’s research bridges theoretical control strategies and applied autonomous systems, making his reviews essential reading for students and researchers entering the field of intelligent transportation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of Lane keeping Controller Using Image processing2 citations · 2018