Hansong Su

Papers

Total Citations

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About

Hansong Su is a researcher specializing in computer vision and intelligent transportation systems, with a particular focus on few-shot learning applications for autonomous driving. His most cited work, "Visual driving assistance system based on few-shot learning" (2021), has garnered 12 citations, demonstrating its relevance in the emerging field of data-efficient AI for vehicular safety. Su's contributions lie in bridging the gap between limited training data and robust visual perception, enabling driving assistance systems to recognize and respond to novel road scenarios with minimal examples—a critical advancement for real-world deployment. This work highlights his ability to address practical challenges in autonomous navigation, where traditional deep learning models often fail due to scarce labeled data. While his citation count may be modest, Su's research is positioned at the intersection of cutting-edge few-shot learning techniques and applied transportation technology, offering a scalable solution for safer roads. His efforts contribute to the broader goal of making AI-driven driving systems more adaptable and accessible, marking him as a promising voice in the next generation of intelligent vehicle researchers.