Nanyang Bai

Chengdu University of Information Technology

Papers

Total Citations

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About

Nanyang Bai is a researcher focused on advancing autonomous navigation through visual Simultaneous Localization and Mapping (SLAM) technology, particularly optimized for embedded GPU platforms. His work addresses one of the most formidable challenges in robotics: enabling robots to autonomously estimate their position while incrementally constructing maps of unknown environments in real time. Bai’s key contributions center on porting computationally intensive visual SLAM algorithms to resource-constrained embedded GPUs, significantly improving the efficiency and practicality of robotic positioning systems for applications like automatic navigation. His most cited paper, "Research on the Application of Visual SLAM in Embedded GPU" (2021), has garnered 10 citations, reflecting growing interest in his approach to bridging high-performance SLAM with low-power hardware. A follow-up study further explores these optimizations. By tackling the critical bottleneck of real-time mapping on embedded systems, Bai’s work paves the way for more capable, cost-effective autonomous robots, making him a notable contributor to the intersection of computer vision, robotics, and edge computing.