Computer Science Location: Rice 204
Add to Calendar 2018-12-12T15:00:00 2018-12-12T15:30:00 America/New_York Master's Project Presentation by Shrirag Kodoor Title: Fly-by-pixels: End-to-end Learning for Autonomous FPV Drone Flight Rice 204

Title: Fly-by-pixels: End-to-end Learning for Autonomous FPV Drone Flight

Abstract: This project develops a system for autonomous flight of drones in a photorealistic simulator environment. The AirSim quadrotor simulator is used to collect training data, using a human pilot, in the form of images from the first-person view (FPV) camera. Each image is annotated with corresponding control inputs for throttle, roll, yaw and pitch. The end-to-end deep learning architecture combines Convolutional Neural Networks and Recurrent Neural Networks to learn human pilot behavior.

Committee Members: Madhur Behl, Sebastian Elbaum