Dasheng Yang

Papers

Total Citations

H-Index

About

Dasheng Yang is a researcher focused on intelligent maritime rescue systems, with a particular emphasis on autonomous surface robotics and drowning detection technologies. His most cited work, "Drowning Detection Algorithm For Intelligent Lifebuoy" (2021), addresses a critical gap in unmanned rescue operations by proposing an algorithm that enables lifebuoys to autonomously detect drowning victims, measure distances, and navigate without remote control. This contribution is foundational for advancing next-generation rescue robots that can operate independently in high-risk water environments. Though his citation count is currently modest—with the flagship paper receiving 3 citations—Yang's work represents an early and important step toward integrating computer vision and autonomous navigation into life-saving marine hardware. His research sits at the intersection of embedded systems, real-time image processing, and human-robot interaction for emergency response. For students and researchers interested in practical AI applications for public safety, Yang's work offers a clear example of how algorithmic innovation can directly enhance the autonomy and effectiveness of rescue equipment in time-critical scenarios.