← Search

Tim McLain

3 accepted papers

2019

Improving the Robustness of Visual-Inertial Extended Kalman Filtering

ICRA 2019poster

Visual-inertial navigation methods have been shown to be an effective, low-cost way to operate autonomously without GPS or other global measurements, however most filtering approaches to VI suffer from observability and consistency problems. To increase robustness of the state-of-the-art methods, we…

Cited by 13SourceScholar
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…

Cited by 9SourceScholar