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Facilities

Research / Facilities

Facilities

— from software to real-world

INSPIRE Lab operates a research pipeline that spans software simulation, human-in-the-loop testing, hardware-in-the-loop validation, and real-world experimentation supported by world-class computing and testing facilities at UT Austin.

INSPIRE Lab Equipment

— in-house testing capabilities
Driver Simulator
Lab Equipment · 01

Driver Simulator

Multi-screen immersive driving simulator for human-in-the-loop studies on driver behavior, AV-human interaction, and traffic scenarios.

Autonomous Vehicle
Lab Equipment · 02

Autonomous Vehicle

Sensor-equipped autonomous research vehicle with LiDAR, cameras, GNSS, and IMU enabling real-world data collection and algorithm validation.

OPAL-RT
Lab Equipment · 03

OPAL-RT

Real-time hardware-in-the-loop simulator for power systems and EV-grid co-simulation, validating control strategies before field deployment.

Key University Facilities

— university shared resources accessibility
TACC
University Facility · 01

TACC

Texas Advanced Computing Center

One of the most powerful academic supercomputing centers in the U.S., supporting large-scale optimization, AI training, and high-fidelity simulations for our research.

Learn more →
SMARTtract
University Facility · 02

SMARTtract

UT Smart Mobility Testing Facility

Outdoor proving ground for autonomous and connected vehicle research, providing real-world test environments at the J.J. Pickle Research Campus.

Learn more →

Research Pipeline

— from software to real-world

Our facilities support a complete research pipeline: ideas progress from software simulation to human-in-the-loop testing, then to hardware-in-the-loop validation, and finally to real-world deployment with findings looping back to refine the models.

CARLA Simulation
Stage 01
Software
CARLA & custom simulation environments
→
Driver Simulator
Stage 02
Human-in-the-Loop
Driver Simulator
→
OPAL-RT
Stage 03
Hardware-in-the-Loop
OPAL-RT
→
Autonomous Vehicle
Stage 04
Real-World
Autonomous Vehicle
↺ Findings from real-world experiments feed back to refine software models

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