Cebastian Chinolla
Papers
1
Total Citations
6
H-Index
1
About
Cebastian Chinolla is an emerging researcher in autonomous vehicle systems, with a primary focus on developing and evaluating robust lane-keeping algorithms for electric vehicles. His most-cited work, "Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Using Electric Vehicles" (2022), demonstrates a hands-on, interdisciplinary approach to one of the core challenges in automated driving: reliable lane-following. As part of a Research Experience for Undergraduates, Chinolla led a team of four undergraduate students in designing and testing multiple computer-vision-based lane-keeping algorithms, bridging the gap between theoretical control systems and practical implementation. This work has already garnered 6 citations, signaling its value to the autonomous driving community. Chinolla’s contributions are notable not only for their technical merit but also for their emphasis on undergraduate research mentorship and real-world experimentation with electric vehicle platforms. His research highlights the importance of accessible, scalable solutions for vehicle automation, and his collaborative, student-driven approach serves as a model for early-career researchers in robotics and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1