AeroVect's core product is the AeroVect Driver - a retrofit autonomy kit that can be bolted onto existing ground support equipment from any manufacturer. It combines 3D LiDAR, cameras, and GPS into a system that recognizes aircraft, runways, other vehicles, active taxiway crossings, and the 200-ton obstacles that make airport driving uniquely unforgiving.
Before any of that worked, they had to build something nobody else had: a comprehensive dataset of airport driving. Wang and Donati mounted sensors onto vehicles and spent months mapping the layouts, the quirks, the sight lines, and the traffic patterns of the largest airports in the United States. The result is now what AeroVect calls the world's largest airside autonomous driving dataset - and the digital twins it generated of major US airports are part of what makes the system's performance defensible when an airline puts its most expensive assets in the path of the machine.
Deployment partners now include GAT, dnata (which operates across 35+ countries on six continents), Delta Air Lines at Atlanta's Hartsfield-Jackson - the world's busiest airport - and international hubs including Dubai International. The system has logged tens of thousands of live aircraft crossings without incident.