Hojung Cha
Papers
2
Total Citations
85
H-Index
2
About
Hojung Cha is a leading researcher in mobile and ubiquitous computing, with a primary focus on indoor localization, sensor systems, and edge-based 3D perception. His seminal work on inertial sensor-based indoor pedestrian localization, published in 2011 with 81 citations, pioneered cost-effective techniques that combine inertial sensors with minimal radio signal support (802.15.4a) to achieve accurate positioning without expensive infrastructure. This work addressed critical limitations in both radio fingerprinting and pure inertial approaches, establishing a foundation for modern indoor navigation systems. More recently, Cha introduced Panopticus (2024), a novel framework for omnidirectional 3D object detection on resource-constrained edge devices. This system enables safety-critical applications like mobile robot navigation by processing 360-degree views locally, eliminating privacy concerns and network delays associated with cloud-based solutions. His research consistently bridges theoretical advances with practical deployment challenges, achieving significant impact in both academic citations and real-world applications. Cha's contributions have been instrumental in advancing edge computing for autonomous systems, making him a respected figure in the sensor systems and mobile computing communities.
Research Focus
Key Achievements
Top Papers
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- 2