Arief Affendi Juri
Papers
1
Total Citations
2
H-Index
1
About
Arief Affendi Juri is a researcher whose work sits at the intersection of optical sensing, indoor positioning, and mobile technology. His key contributions focus on developing practical, smartphone-based positioning systems that leverage optical sensors—a critical area for applications where GPS is unavailable. His most cited work, "Dual scaling and sub-model based PnP algorithm for indoor positioning based on optical sensing using smartphones" (2016), addresses a fundamental challenge: how to achieve accurate, real-time location tracking using only a phone's camera. By proposing a novel Perspective-n-Point (PnP) algorithm that combines dual scaling and sub-model techniques, Juri advanced the feasibility of optical positioning for everyday mobile devices, moving it beyond specialised robotic navigation. While his citation count is modest, his research is notable for bridging the gap between theoretical computer vision algorithms and practical, consumer-grade hardware. His work has been cited in subsequent studies on indoor navigation and sensor fusion, indicating its relevance to researchers seeking low-cost, infrastructure-free positioning solutions. Juri’s contributions are particularly valuable for students and engineers exploring the integration of optical sensing into ubiquitous mobile platforms.
Research Focus
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Top Papers
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