Turgay Senlet

Rutgers, The State University of New Jersey

Papers

Total Citations

111

H-Index

About

Turgay Senlet is a researcher whose work sits at the intersection of robotics, computer vision, and civil infrastructure. His key research areas include autonomous robotic inspection, satellite image analysis, and precise robot localization for urban environments. Senlet’s major contributions include the development of an autonomous robotic system for bridge deck data collection and analysis—a pioneering effort that earned 57 citations—which addresses the critical need for efficient infrastructure maintenance. He also introduced a novel framework for precise robot localization on sidewalks by fusing stereo camera images, visual odometry, and satellite map matching (40 citations), significantly advancing autonomous navigation in pedestrian spaces. Additionally, his work on segmenting occluded sidewalks from satellite images (12 citations) provides essential tools for mapping and robot guidance. Senlet’s achievements demonstrate a clear impact on both robotics and infrastructure monitoring, offering practical solutions for real-world challenges. His research is particularly valuable for students and engineers interested in autonomous systems, urban navigation, and the application of computer vision to civil engineering problems.