Advanced Mobility Institute
Driving the Future of Autonomous & Connected Vehicle Innovation
The Advanced Mobility Institute (AMI) at Florida Poly is a cutting-edge research center fueling the next era of mobility—from smart cities to self-driving vehicles. As one of the nation’s largest university-based programs focused on autonomous vehicle (AV) verification and validation, AMI is where engineers, computer scientists, and visionaries shape the future of how we move.
Whether you’re a student with a passion for AI-driven systems, a faculty member exploring breakthrough research, or an industry partner seeking collaboration—AMI is where momentum meets mission.
Innovation, Science, and Technology Building
Room 20297
4549 Polytechnic Circle
Lakeland, FL 33805
Why AMI?
Elite Research Opportunities
Work alongside world-class faculty and industry leaders on projects in AV simulation, connected vehicle networks, machine learning, human-machine interaction, and more.
Real-World Impact
Our research directly supports national transportation safety goals and is helping to define AV standards used across the globe.
Tech That Moves the World
Our research directly supports national transportation safety goals and is helping to define AV standards used across the globe.
High-Impact Partnerships
AMI collaborates with major organizations including the U.S. Department of Transportation, NASA, MITRE, Florida Department of Transportation, and private tech companies to accelerate innovation.
Explore Our Research Areas
At the Advanced Mobility Institute, we’re advancing the science of autonomy by focusing on what works in the real world—technology that is reliable, secure, and ready for deployment. Our multidisciplinary teams investigate how connected and autonomous vehicles (CAV) perform under pressure, respond to threats, and operate in complex environments.
Florida Poly’s multidisciplinary teams investigate how autonomous and connected vehicles perform under pressure, respond to threats, and operate in complex environments. Here’s how we’re driving the science of safety forward:
Verification & Validation of Connected & Autonomous Vehicles (CAV)
- Developing cutting-edge simulation frameworks and real-world protocols to ensure autonomous systems behave safely, predictably, and ethically in traffic environments.
- Crash-based scenario modeling helps us understand how CAVs react to edge cases and collision scenarios that can’t be replicated in typical field testing.
Cybersecurity & Resiliency in Contested Environments
- Pioneering research on testing CAVs under cyberattacks—from GPS spoofing to network manipulation—to improve real-time response and recovery.
- Investigating the resilience of AV RADAR systems and communication modules in adversarial and high-risk settings.
Sensor Ecosystem & Environmental Effects
- Studying how weather conditions (rain, fog, snow, glare) impact perception systems such as LiDAR, camera, and mmWave RADAR.
- Examining electromagnetic interference (EMI) and its influence on AV sensor accuracy, particularly millimeter-wave RADAR performance.
Software, Hardware & Vehicle-in-the-Loop Testing
- Integrating digital twin technology and hardware-in-the-loop (HIL) platforms to simulate and test AV behavior in real-time conditions.
- Evaluating vehicle-in-the-loop (VIL) models to bridge the gap between simulation and on-road performance.
Communication, Connectivity, & Topology
- Testing the resiliency and robustness of V2X networks, including how CAVs handle interruptions, latency, and handoffs across real-world network conditions.
- Designing and analyzing roadway topology and infrastructure to optimize communication and sensor placement for CAVs in urban and rural environments.
Autonomous Vehicle Design
- Engineering next-gen AV platforms from the ground up—merging AI, robotics, mechanical design, and control systems to create vehicles that can safely and smartly navigate diverse terrains and scenarios.
