Building Autonomy, Shaping Engineers
Founded in 2018 at the University of Wisconsin–Madison, Wisconsin Autonomous is a premier student-run engineering team developing full-stack self-driving vehicle systems for North American collegiate competitions.
From raw sensor photons to tires on asphalt.
Wisconsin Autonomous is dedicated to developing full-stack self-driving capability while providing undergraduates and graduate students with hands-on systems engineering, machine learning, and robotics experience.
Our multidisciplinary team designs and validates perception neural networks, motion planning algorithms, real-time vehicle controls, and custom compute & power architectures on full-scale vehicles.
Core Engineering Divisions
Our team operates across five specialized divisions to engineer autonomous systems end-to-end.
Perception
Machine Learning & Computer Vision
Deep learning, object detection/classification, semantic segmentation, lane line detection, sensor calibration, and sensor fusion.
Controls
Behavior & Motion Execution
Trajectory generation, behavior decisions, dynamic rerouting, longitudinal and lateral control algorithm execution on high-performance compute platforms.
Systems & Electrical
Compute & Power Harnessing
Compute platforms, custom wiring harnesses, high and low voltage power delivery, drive-by-wire actuator integration, and hardware safety interlocks.
Simulation
Virtual Testing & HIL Rigs
Synthetic scenario libraries, hardware-in-the-loop (HIL) testing rigs, dynamic digital twin environments, and regression testing before touching asphalt.
Operations
Communication and Organization
Internal communication, sponsorship and volunteer outreach, project management, market research, and event planning