Cristina Hilario

Papers

Total Citations

H-Index

About

Cristina Hilario is a researcher whose work lies at the intersection of computer vision, intelligent transportation systems, and autonomous vehicle navigation. Her most notable contribution is the seminal paper "IVVI: Intelligent Vehicle Based on Visual Information" (2007), which has garnered 45 citations and laid foundational groundwork for vision-based driving assistance. In this work, Hilario and her colleagues proposed a pioneering framework that leverages real-time visual data to enhance vehicle perception, enabling safer and more autonomous driving decisions. Her research has been instrumental in advancing the use of cameras and image processing for obstacle detection, lane tracking, and environment understanding—critical components of modern self-driving technology. While her citation count reflects a focused yet impactful niche, Hilario’s contributions have influenced subsequent developments in intelligent vehicle systems, particularly in how visual information can be integrated into real-time control loops. Her work underscores the importance of low-cost, vision-centric approaches to vehicular autonomy, making her a key figure in the early evolution of intelligent transportation research.