Eyan Hudson

Eyan Hudson’s pathway to Purdue AI Racing began at the United States Naval Academy, where he graduated with a degree in Robotics and Control Engineering, specializing in unmanned aerial vehicles. Seeking further challenges in autonomous technology, Hudson found a natural next step with Purdue AI Racing: "I wanted to continue work in unmanned vehicles, so the Purdue AI Racing project seemed like a perfect fit," he says, explaining how he transitioned smoothly from air to track-based autonomous systems.

Today, Hudson contributes to the perception sub-team, focusing on enhancing vehicle detection and tracking through advanced camera systems. His current work directly informs his master's thesis on computer vision. Hudson believes building trust is critical to AI’s broader acceptance, stating, "A key part of implementing physical AI into mainstream tech is confidence in the AI." He anticipates that as AI technology matures, physical AI will play a crucial role in shaping everyday life and transforming mainstream technologies.