Research
Our work spans perception, planning, control, and systems integration for autonomous racing and mobility.
Research Areas
Perception
Sensor fusion, object detection, tracking, and state estimation for high-speed and dynamic environments.
Planning & Control
Path planning, trajectory optimization, model predictive control, and real-time decision-making on the track.
Simulation & Validation
Simulation pipelines, scenario generation, and validation methods to accelerate development safely.
From simulation to the track
We validate our systems through rigorous testing and planning. Our work in simulation translates to real-world performance at the track.
Publications & Open Source
We aim to publish and share our findings where appropriate and contribute to open-source tools that benefit the autonomous systems community. Details will be added as work is released.
Related
Our work is supported by the Vehicle Autonomy and Intelligence Lab (VAIL) at Indiana University.