Jing Guo

Papers

Total Citations

H-Index

About

Jing Guo is a researcher specializing in indoor localization, augmented reality, and smart device-based sensing systems. Their work sits at the intersection of wireless networking and computer vision, tackling one of the most persistent challenges in modern computing: accurate positioning in GPS-denied indoor environments. Guo's most notable contribution, the 2018 paper "Fusion of WiFi and Vision Based on Smart Devices for Indoor Localization," demonstrates a sophisticated multimodal approach that combines WiFi signal processing with visual data to achieve robust indoor positioning — a technique with far-reaching implications for indoor navigation, autonomous robot mapping, and augmented reality applications. By leveraging the ubiquity of smart devices, this work makes advanced localization accessible without requiring dedicated hardware infrastructure. The research addresses a critical bottleneck in AR systems, specifically the accurate estimation of target object positions within real-world environments, which is foundational to delivering seamless augmented experiences. While still accumulating citations, Guo's interdisciplinary methodology reflects a growing recognition that sensor fusion strategies represent the most viable path forward for reliable indoor positioning, positioning this work as a meaningful contribution to an increasingly important field.