Papers
3
Total Citations
39
H-Index
2
About
Jiho Chang is a researcher at the forefront of smart city security and industrial robotics, with a focus on creating intelligent, autonomous surveillance systems. His most impactful work, "Multimodal layer surveillance map based on anomaly detection using multi‑agents for smart city security," has garnered 35 citations and proposes a groundbreaking framework that integrates data from diverse agents—such as CCTV, delivery robots, and security drones—to detect anomalies and enhance urban safety. This approach enables a seamless, multi‑layered security map that leverages environmental data for real‑time monitoring. Chang also advances industrial automation with his 2024 design of a robot system for anomaly detection using Boston Dynamics' SPOT, offering a flexible, scalable solution for script‑based monitoring in hazardous environments. Earlier, he explored depth reconstruction techniques, including projected texture stereo for evaluating patterns, contributing to the robustness of stereo vision systems in low‑texture scenes. His work bridges theoretical innovation and practical deployment, making him a key figure in the evolution of autonomous surveillance and smart infrastructure.
Research Focus
Key Achievements
Top Papers
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- 3Simulation method of projected texture stereo for evaluating patterns2 citations · 2012