2017
Deep visual gravity vector detection for unmanned aircraft attitude estimation
IROS 2017poster
This paper demonstrates a feasible method for using a deep neural network as a sensor to estimate the attitude of a flying vehicle using only flight video. A dataset of still images and associated gravity vectors was collected and used to perform supervised learning. The network builds on a previous…