Assisted and Automated Driving Research Platform

A state-of-the-art platform supporting research across perception, planning, control, connectivity, and remote operation. It enables comprehensive experimentation across the full driving stack, including perception, decision-making, and control. The platform supports sensor fusion from LiDAR, radar, and cameras, along with real-time object detection and tracking for situational awareness. Advanced planning and control modules facilitate research in motion prediction, trajectory generation, and adaptive vehicle control for both assisted and fully automated driving scenarios. Connectivity features allow for the exploration of cooperative driving concepts using Vehicle-to-Everything (V2X) communication, while the tele-driving module supports studies on remote vehicle operation and supervision. Together, these capabilities make the platform a powerful testbed for innovation in autonomous mobility, safety, and human–vehicle interaction research.

Software‑Defined Vehicle (SDV) Testbed

Open, modular, software-defined architecture that decouples hardware and software layers and follows a centralized zonal design aligned with modern E/E vehicle systems. It is designed around the concept of decoupling hardware and software layers, allowing researchers to develop, deploy, and test new functionalities independent of physical vehicle components. The testbed adopts a centralized zonal architecture, reflecting the latest advancements in automotive electronic and electrical (E/E) systems, where vehicle functions are consolidated into powerful computing domains connected through high-speed networks. This setup enables investigation into over-the-air software updates, embedded intelligence, cross-domain integration, and real-time data processing. The platform also supports experimentation with digital twins, edge computing, and AI-driven control strategies, making it an ideal environment for advancing research in vehicle software architectures, safety, cybersecurity, and lifecycle management.

High‑Performance Workstations

AI for Smart Mobility Lab is equipped with high-performance computing resources that enable data-intensive research and advanced simulation studies. It includes two NVIDIA DGX Spark systems with 4 TB storage and integrated DLI bundles, providing exceptional GPU computing power for deep learning, perception, and control algorithm development. Complementing these are Dell Precision 5860 workstations powered by Intel Xeon W3-2423 processors and paired with Dell U4025QW UltraSharp 40-inch Curved Thunderbolt Hub Monitors, offering researchers a powerful and ergonomic setup for software development, large-scale data visualization, and model training.