Experiments in Autonomous Driving Through Imitation Learning

Michael Muratov, Abdulwasay Mehar, Wan Song Lee, Michael Szpakowicz, Ose Edmond Umolu, Joshua Mazariegos Bobadilla, Ali Kuwajerwala

This report demonstrates several methods used to make a self-driving vehicle using a supervised learning algorithm and a forward-facing RGBD camera. The project originally involved research in creating an adversarial attack on the vehicle's model, but due to difficulties with the initial training of the car, the plans were discarded in favor of completing the imitation learning portion of the project. Many approaches were explored, but due to challenges introduced by an unbalanced data set, the approaches had limited effectiveness.

Knowledge Graph

arrow_drop_up

Comments

Sign up or login to leave a comment