Sihang Qiu

National University of Defense Technology

Papers

Total Citations

H-Index

About

Sihang Qiu is a researcher whose work sits at the intersection of autonomous systems, intelligent transportation, and human-AI collaboration. His research focuses on two primary domains: autonomous source searching in unknown environments and crowd sensing intelligence for intelligent transportation systems (ITS). Qiu's most influential contribution, "Source Searching in Unknown Obstructed Environments" (2022, 35 citations), advances methodologies for locating fire, gas, or signal sources in unexplored and potentially hazardous environments, combining source estimation, target determination, and path planning into a cohesive framework. This work has meaningful implications for robotics-driven emergency response and environmental monitoring. Complementing this, his 2023 paper on Crowd Sensing Intelligence for ITS (19 citations) addresses the evolving demands of Transportation 5.0, proposing frameworks to integrate Cyber-Physical-Social Systems for smarter, society-centered mobility solutions. His follow-up work on Human-AI collaboration in crowd-powered source search (7 citations) further bridges autonomous robotic systems with human expertise, exploring how collaborative intelligence can enhance performance in dangerous, uncharted environments. With a growing citation record and a research portfolio spanning robotics, transportation intelligence, and collaborative AI, Qiu represents an emerging voice in the design of intelligent, adaptive systems for real-world challenges.