Emir Sahin
Papers
1
Total Citations
4
H-Index
1
About
Dr. Emir Sahin is a researcher in computer vision and autonomous systems, with a focused expertise in thermal imaging for intelligent transportation. His work addresses a critical gap in perception systems: the reliable detection of vulnerable road users, such as pedestrians and cyclists, under challenging lighting conditions where standard RGB cameras fail. His most-cited paper, "A Robust Pedestrian and Cyclist Detection Method Using Thermal Images" (2021), introduces a novel deep learning framework that leverages thermal signatures to achieve high detection accuracy in low-light and nighttime scenarios. This contribution is vital for the safety of autonomous vehicles and delivery robots. With 4 citations, this work has already begun to influence the field, providing a robust alternative to traditional vision-based methods. Dr. Sahin’s research is paving the way for more resilient and safer autonomous navigation systems, directly addressing real-world deployment challenges.
Research Focus
Key Achievements
Top Papers
- 1A Robust Pedestrian and Cyclist Detection Method Using Thermal Images4 citations · 2021