Research

PhD Research

• AutoRally

See the project page at: autorally.github.io

My research centers around perception and scene understand for autonomous vehicles, applied to the surrogate problem of autonomous racing. I work in TensorFlow to create systems to understand the world in front of the vehicle, in the case of racing this means knowing accurately the location of the track in front of the vehicle. I also study attentional mechanisms in the context of task driven scenarios such as racing.

I have also created much of the state estimation software and infrastructure code.

This project is under the direction of my advisor, James M Rehg, and in collaboration with Brian Goldfain, Grady Williams, and the lab of Evangelos Theodorou.