Shuangquan Sun

University of Science and Technology of China

Papers

Total Citations

H-Index

About

Shuangquan Sun is a robotics researcher whose work centers on autonomous vehicle systems and embedded robotic platforms. His most notable contribution is the development of a driverless robot car architecture based on the EyeBot system, designed specifically for the Carolo-Cup—a prestigious international competition for automated model vehicles. In his 2019 paper "The Architecture of a Driverless Robot Car Based on EyeBot System" (5 citations), Sun details a complete implementation that successfully navigated the competition's complex tasks, from lane following to obstacle avoidance, using a compact embedded platform. This work demonstrates practical integration of perception, planning, and control algorithms in resource-constrained environments. While his citation count is modest, Sun's research provides a valuable blueprint for low-cost autonomous vehicle prototyping, bridging the gap between theoretical algorithms and real-world deployment. His contributions are particularly relevant for students and researchers exploring embedded systems, robot operating systems, and autonomous navigation in scaled vehicle platforms.