We research and advance AI and autonomous driving technologies in the road and mobility sector, leading the innovation of the future mobility ecosystem.
Based on a living lab, we develop and build usability, operational efficiency, service adequacy, driving safety, data interface, and operational monitoring systems for autonomous shared vehicle services, and conduct performance evaluation, analysis, and system advancement research based on demonstration data.
Autonomous Shared Vehicle
Service Evaluation System
Driving Risk Zone
Safety Monitoring
Real-time Integrated Data
Interface Linkage
Living Lab Operation &
Control Platform
Key Technologies
Real-time Large-scale
Stream Processing
Driving Data-based
Map Matching Technology
V2X·V2N Based
Road Environment Analysis
Multi-agency Data Integration
Collection & Flow Monitoring
Cloud Infrastructure
Operations (Azure/AWS)
Kubernetes-based
Data Pipeline Construction
We design, develop, and verify the performance of control and data pipeline systems for autonomous driving services for the transportation disadvantaged, and conduct service technology development and demonstration research based on data collection and learning for in-vehicle care of the transportation disadvantaged.
Transportation Disadvantaged
Integrated Linkage System
AI-based In-vehicle
Care Service Verification
Large-scale Data
Pipeline Optimization
Living Lab Operation &
Control Platform
Key Technologies
Real-time Large-scale
Stream Processing
Deep Learning-based
In-vehicle Anomaly Detection
Edge Device Remote
Control & Deployment
Multi-agency Data Integration
Collection & Flow Monitoring
Cloud Infrastructure
Operations (Azure/AWS)
Kubernetes Pipeline &
API Security