Papers
2
Total Citations
109
H-Index
2
About
Jin-Chun Piao is a leading researcher in computer vision and augmented reality (AR), whose work focuses on advancing real-time visual-inertial simultaneous localization and mapping (SLAM) systems. His major contributions lie in developing adaptive algorithms that enable robust, accurate camera pose estimation and true-scale mapping on resource-constrained mobile devices. Piao’s 2019 paper on “Real-Time Visual–Inertial SLAM Based on Adaptive Keyframe Selection for Mobile AR Applications” has garnered 71 citations, establishing a foundation for efficient SLAM in AR, robotics, and autonomous navigation. His earlier 2017 work on “Adaptive Monocular Visual–Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices” (38 citations) addressed critical challenges in fast camera motion estimation and scale recovery, directly impacting the performance of mobile AR experiences. By tackling the core issues of computational efficiency and real-time operation, Piao’s research has been instrumental in bridging the gap between theoretical SLAM methods and practical, deployable AR systems. His work continues to influence the development of next-generation autonomous technologies, from drones to self-driving vehicles, making him a key figure in the evolution of immersive and intelligent visual computing.
Research Focus
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Top Papers
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