Anggera Bayuwindra
Papers
2
Total Citations
115
H-Index
2
About
Anggera Bayuwindra is a leading researcher in intelligent vehicle systems, specializing in the control and coordination of autonomous vehicle platoons. His work centers on solving the critical challenge of integrating both longitudinal (speed and spacing) and lateral (steering) control for car-like vehicles operating in tight formations. Bayuwindra’s major contribution is the development of a novel “extended look-ahead” concept, which allows a following vehicle to anticipate the path of the lead vehicle more effectively, dramatically improving stability and safety at high speeds. His seminal 2019 paper on this combined control approach has garnered 81 citations, establishing a foundational framework for Cooperative Adaptive Cruise Control (CACC) in curved road scenarios. He further refined this work with an orientation-error observer, detailed in a second highly-cited 2019 paper (34 citations), which addresses real-world sensor limitations. By solving the complex coupling between longitudinal and lateral dynamics, Bayuwindra’s research directly enables safer, more efficient highway platooning—a key step toward widespread autonomous trucking and passenger convoys.
Research Focus
Key Achievements
Top Papers
- 1
- 2