This project aims to develop a real-time accident prediction and prevention system for forklifts—high-risk industrial equipment—by integrating UWB precision positioning, edge computing, and behavioral pattern analysis to proactively mitigate serious workplace disasters
Project Period : 2026.05 ~ 2027.09 (2 Years)
Development of Seamless Heterogeneous V2X Communication and Cooperative Autonomous Driving Technology for Level 4+ Services via Network Integration and Interconnectivity with Diverse Mobile Entities
Project Period: 2025.04 – 2027.12 (2 Years)
The 4th BK21 project's goal is to cultivate an innovative talent who can lead the field of next-generation communication network infra as well as the application services involving Hyper-Space(Satellites & UAV communication), Super-Intelligence, Hyper-Connectivity and Highly trusted Security as its core.
Project Period : 2020.09 ~ 2027.08 (7-year)
(Our Group and AI Convergence Network Department Homepage http://ai-nets.ajou.ac.kr/ai-nets/index.jsp )
Smart IoT Connectivity platforms, Energy IoT
IR-UWB based Indoor Positioning, Infra-less Positioning
Machine Learning, Cognitive Radio Routing
Swarming Drones, Trustful Tactical IoT
Data-Centric Network, Edge Computing
Lots of networks such as wired networks, wireless networks, set networks, mobile networks and various other networks are being connected into one and in our field where devices and appliances is used to give users useful information and computing functions automatically, our purpose of the research is to stabilize network conditions so that users could use their devices faster and convenient. For this, we deal with latency, energy, and offloading in the sensors, proceeds our research in networks routing pathway, end users’ user experience, and others which could be included in overall field of the Smart IoT platform.