Brendan Adrian Marcellino

Papers

Total Citations

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About

Brendan Adrian Marcellino is a researcher whose early work focuses on the intersection of computer vision, autonomous navigation, and intelligent transportation systems. His most-cited paper, "A camera-based autonomous mobile robot on a simple simulated highway" (2011), introduces foundational methods for lane detection and steering control using edge detection algorithms. This work contributes to the broader goal of reducing traffic accidents through automated driving technologies. With 2 citations, this study serves as a proof-of-concept for camera-guided mobile robots operating in structured environments. Marcellino’s research addresses key challenges in real-time visual perception and robotic control, laying groundwork for future autonomous vehicle systems. His contributions are particularly relevant for students and researchers exploring low-cost, vision-based approaches to self-driving technology. By demonstrating how a simple mobile robot can navigate between road lines using onboard cameras, Marcellino highlights the potential of accessible, scalable solutions in autonomous mobility. His work remains a stepping stone for those investigating the practical deployment of autonomous systems in constrained, simulated environments.