Yekyung Kim
Papers
2
Total Citations
10
H-Index
2
About
Yekyung Kim is a researcher at the forefront of accessible and safe urban navigation, with a primary focus on leveraging large language models and computer vision to assist blind and low-vision individuals. Her major contribution lies in pioneering the use of GPT-4V for interpretable risk assessment in street crossing—a task that demands a nuanced understanding of complex visual contexts. By developing a system that not only evaluates safety but also provides clear, human-readable explanations for its decisions, Kim addresses a critical gap where traditional assistive technologies fall short. Her work, detailed in the highly cited 2024 paper "Is It Safe to Cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing," has garnered over 10 citations, reflecting its immediate impact on the intersection of AI ethics, accessibility, and autonomous mobility. Kim’s research is notable for its practical, human-centered approach, offering a scalable solution that empowers visually impaired pedestrians with greater independence and confidence. Her achievements highlight a commitment to translating cutting-edge AI into tangible, life-changing tools, making her a rising voice in assistive technology and human-computer interaction.
Research Focus
Key Achievements
Top Papers
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- 2